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ABOUT US | PRIVITAR
About Us. Privitar is committed to bringing organizations the latest in privacy engineering. Privitar is unique in combining technology, thought leadership, expert services, and customer success to partner with customers on their privacy journey. Founded in 2014, co-founders Jason du Preez and John Taysom united to combine John’s academicCAREERS | PRIVITAR
The Privitar team is working from home at this time, and our interviews across all roles have been adapted to operate fully remotely. As a result we’ve hired and onboarded more than 40 people virtually since the pandemic began. We have developed our ways of working to make sure new joiners feel part of our team straight away.PRESS RELEASES
Our team of data privacy experts is here to answer your questions and discuss how data privacy can fuel your business. Request Demo Contact us. Drift Widget. Drift Widget. Marketo Forms 2 Cross Domain request proxy frame. This page is used by Marketo Forms WHAT IS SCHREMS II AND WHY DOES IT MATTER? K - ANONYMITY: AN INTRODUCTION K -anonymity is a key concept that was introduced to address the risk of re-identification of anonymised data through linkage to other datasets. The k -anonymity privacy model was first proposed in 1998 by Latanya Sweeney in her paper ‘ Protecting privacy when disclosing information: k -anonymity and its enforcement through generalizationand
WHAT IS THE DIFFERENCE BETWEEN TOKENIZATION VS. ENCRYPTION What is Encryption? When you encrypt data, you are “locking” your sensitive data in a way that only authorized parties can “unlock” it and see the actual values. The only way you can unlock that data is with a secret key. Whilst the data is encrypted, it’s basically unusable. The encrypted result is known as “cipher text.”. PRIVITAR LAUNCHES A NEW OFFICE IN SINGAPORE TO FURTHER ITS Privitar’s new Asia Pacific hub confirms its growing expansion in the APAC market. It will allow the company to support the thriving demand for data privacy technology WHY YOU REALLY DON'T NEED PRODUCTION DATA FOR TEST AND DEV Using raw production data for Test and Dev is a bad idea. Test and Dev environments, by necessity, don’t have the same security controls as production environments. When you move your sensitive data into one, you open it up to a much wider group of users ‘ who may or may not be employed by your business. The result is a massively increased UNLOCKING SILOED DATA FOR THE NHS Unlocking siloed data for the NHS Unlocking the power of siloed, sensitive healthcare data The Challenge The NHS have an incrediblecorpus of data from
ENTERPRISE DATA PRIVACY SOFTWARE Provisioning Platform. The Privitar Data Provisioning Platform is a comprehensive, modern data provisioning platform that enables collaboration across data owners, data consumers and data guardians to deliver safe data – within and beyond an organization – in a fraction of the time compared with traditional approaches. EarlyAccess.
ABOUT US | PRIVITAR
About Us. Privitar is committed to bringing organizations the latest in privacy engineering. Privitar is unique in combining technology, thought leadership, expert services, and customer success to partner with customers on their privacy journey. Founded in 2014, co-founders Jason du Preez and John Taysom united to combine John’s academicCAREERS | PRIVITAR
The Privitar team is working from home at this time, and our interviews across all roles have been adapted to operate fully remotely. As a result we’ve hired and onboarded more than 40 people virtually since the pandemic began. We have developed our ways of working to make sure new joiners feel part of our team straight away.PRESS RELEASES
Our team of data privacy experts is here to answer your questions and discuss how data privacy can fuel your business. Request Demo Contact us. Drift Widget. Drift Widget. Marketo Forms 2 Cross Domain request proxy frame. This page is used by Marketo Forms WHAT IS SCHREMS II AND WHY DOES IT MATTER? K - ANONYMITY: AN INTRODUCTION K -anonymity is a key concept that was introduced to address the risk of re-identification of anonymised data through linkage to other datasets. The k -anonymity privacy model was first proposed in 1998 by Latanya Sweeney in her paper ‘ Protecting privacy when disclosing information: k -anonymity and its enforcement through generalizationand
WHAT IS THE DIFFERENCE BETWEEN TOKENIZATION VS. ENCRYPTION What is Encryption? When you encrypt data, you are “locking” your sensitive data in a way that only authorized parties can “unlock” it and see the actual values. The only way you can unlock that data is with a secret key. Whilst the data is encrypted, it’s basically unusable. The encrypted result is known as “cipher text.”. PRIVITAR LAUNCHES A NEW OFFICE IN SINGAPORE TO FURTHER ITS Privitar’s new Asia Pacific hub confirms its growing expansion in the APAC market. It will allow the company to support the thriving demand for data privacy technology WHY YOU REALLY DON'T NEED PRODUCTION DATA FOR TEST AND DEV Using raw production data for Test and Dev is a bad idea. Test and Dev environments, by necessity, don’t have the same security controls as production environments. When you move your sensitive data into one, you open it up to a much wider group of users ‘ who may or may not be employed by your business. The result is a massively increased UNLOCKING SILOED DATA FOR THE NHS Unlocking siloed data for the NHS Unlocking the power of siloed, sensitive healthcare data The Challenge The NHS have an incrediblecorpus of data from
EARLY ACCESS SIGN UP Sign-up for early access. Countdown to launch with us and learn why only Privitar has the right combination of technology and expertise to create a safe and modern data provisioning ecosystem. Early access gets you a front row seat as we embark on the path of EARLY ACCESS RESOURCES Privitar recently announced the launch of a new data provisioning platform that makes self-service data available safely, at scale. The Privitar Data Provisioning Platform optimizes data utility via Privitar’s industry-leading protection technologies, a new data exchange, compliance accelerators, and dynamic consumption patterns to enable safe data sharing.PRIVITAR & AZURE
Privitar enables the safe use of sensitive data in de-identified data lakes. With the Privitar Policy Manager and Protected Data Domains™ you can centralize or federate control of creating purpose-limited datasets that employ data minimization and data fit for purpose at enterprise scale. Data protected by Privitar can be utilized in Azure’s comprehensive set of analytics, AI and ML K - ANONYMITY: AN INTRODUCTION K -anonymity is a key concept that was introduced to address the risk of re-identification of anonymised data through linkage to other datasets. The k -anonymity privacy model was first proposed in 1998 by Latanya Sweeney in her paper ‘ Protecting privacy when disclosing information: k -anonymity and its enforcement through generalizationand
DE-IDENTIFICATION
Access Privitar’s Guide to De-Identification. The Privitar De-identification 101 series provides a ground-level introduction to the issues surrounding de-identification, one DATA REDACTION: WHAT IT IS AND WHEN TO USE IT Data redaction is a data masking technique that enables you to mask (redact) data by removing or substituting all or part of the fieldvalue. This
PRIVITAR AUTHORS REVIEW OF DIFFERENTIAL PRIVACY FOR THE Privitar was invited to work with the ONS on one of the contributing articles of their report to highlight new capabilities for managing and mitigating privacy risk. The chapter examines how new attacks on national statistics have driven the need for a stronger, more formal defence, as provided by the emerging field of differential privacy.LINKAGE ATTACK
Linkage Attack: A linkage attack is an attempt to re-identify individuals in an anonymized dataset by combining that data with background information. The ‘linking’ uses quasi-identifiers, such as zip or postcode, gender, salary, etc that are present in both sets to establish identifying connections. Many organizations aren’taware of the
SURVEY RESULTS: CAN DATA PRIVACY DRIVE YOUR CUSTOMER 4. Businesses must drive data privacy action. Most organizations rely on contract renewals — driven by brand loyalty — to keep operations running. They have a new opportunity to build that loyalty: by ensuring a personal sense of trust within their customer base. Based on our survey results, their customers demand it. THE PATH TO DATA-DRIVEN BANKING WITH ABN AMRO’S MARCEL By Marcel Kramer, Head of Data Engineering at ABN AMRO From my perspective as Head of Data Engineering at ABN AMRO, it was essential that we prioritize security as we looked to modernize our architecture, because of the highly sensitive nature of the data involved in banking. We know security alone doesn’t safeguard data,protecting
ENTERPRISE DATA PRIVACY SOFTWARE Privitar empowers organizations to harness the power of data to innovate faster, while protecting the privacy of individuals.ABOUT US | PRIVITAR
Privitar is committed to bringing organizations the latest in privacy engineering. Privitar is unique in combining technology, thought leadership, expert services, and customer success to partner with customers on their privacy journey.CAREERS | PRIVITAR
Working at Privitar will bring you a host of challenges and opportunities to excel in your role and to genuinely make a difference. See our latest openings.PRIVITAR & AZURE
Privitar enables the safe use of sensitive data in de-identified data lakes. With the Privitar Policy Manager and Protected Data Domains™ you can centralize or federate control of creating purpose-limited datasets that employ data minimization and data fit for purpose at enterprise scale. Data protected by Privitar can be utilized in Azure’s comprehensive set of analytics, AI and MLPRESS RELEASES
Get the lastest Privitar news. View our recent accolades and pressreleases.
K - ANONYMITY: AN INTRODUCTION Organisations today are entrusted with personal data that they use to serve customers and improve decision making, but a lot of the value in the data still goes untapped. This data could be invaluable to third party researchers and analysts in answering questions ranging from town planning to fighting cancer, so often organisations want to DATA REDACTION: WHAT IT IS AND WHEN TO USE IT DIFFERENCING ATTACKS Here you can find a short video interview with Charlie Cabot, Research Lead at Privitar, in which he talks about some of the risks of Differencing Attacks. One type of privacy attack is called a differencing attack, which targets aggregate statistics, like summary statistics, histograms and charts. The differencing attack works bysingling out
WHY YOU REALLY DON'T NEED PRODUCTION DATA FOR TEST AND DEV What valuable data for Test and Dev environments looks like With synthetic data often falling short of test requirements, there remains a persistent notion that only raw, sensitive data will do for fast and accurate Test and Dev. We make the case: you don’t need production data at all. Using raw production data for Test SINGAPORE GOVERNMENT WISELY ROLLS OUT NEW DATA PRIVACY Governments worldwide are under twin pressures — not only to use their data to inform policies, make better decisions, and deliver improved public services for less, but also to meet the public’s expectation that they maintain the highest standards of data privacy and protection. Meeting both objectives is difficult, and both public and private organizations have suffered the consequences ENTERPRISE DATA PRIVACY SOFTWARE Privitar empowers organizations to harness the power of data to innovate faster, while protecting the privacy of individuals.ABOUT US | PRIVITAR
Privitar is committed to bringing organizations the latest in privacy engineering. Privitar is unique in combining technology, thought leadership, expert services, and customer success to partner with customers on their privacy journey.CAREERS | PRIVITAR
Working at Privitar will bring you a host of challenges and opportunities to excel in your role and to genuinely make a difference. See our latest openings.PRIVITAR & AZURE
Privitar enables the safe use of sensitive data in de-identified data lakes. With the Privitar Policy Manager and Protected Data Domains™ you can centralize or federate control of creating purpose-limited datasets that employ data minimization and data fit for purpose at enterprise scale. Data protected by Privitar can be utilized in Azure’s comprehensive set of analytics, AI and MLPRESS RELEASES
Get the lastest Privitar news. View our recent accolades and pressreleases.
K - ANONYMITY: AN INTRODUCTION Organisations today are entrusted with personal data that they use to serve customers and improve decision making, but a lot of the value in the data still goes untapped. This data could be invaluable to third party researchers and analysts in answering questions ranging from town planning to fighting cancer, so often organisations want to DATA REDACTION: WHAT IT IS AND WHEN TO USE IT DIFFERENCING ATTACKS Here you can find a short video interview with Charlie Cabot, Research Lead at Privitar, in which he talks about some of the risks of Differencing Attacks. One type of privacy attack is called a differencing attack, which targets aggregate statistics, like summary statistics, histograms and charts. The differencing attack works bysingling out
WHY YOU REALLY DON'T NEED PRODUCTION DATA FOR TEST AND DEV What valuable data for Test and Dev environments looks like With synthetic data often falling short of test requirements, there remains a persistent notion that only raw, sensitive data will do for fast and accurate Test and Dev. We make the case: you don’t need production data at all. Using raw production data for Test SINGAPORE GOVERNMENT WISELY ROLLS OUT NEW DATA PRIVACY Governments worldwide are under twin pressures — not only to use their data to inform policies, make better decisions, and deliver improved public services for less, but also to meet the public’s expectation that they maintain the highest standards of data privacy and protection. Meeting both objectives is difficult, and both public and private organizations have suffered the consequences FIVE WAYS THE PANDEMIC CHANGED DATA ANALYTICS FOR GOOD by Nico Dard, Director of Product Management at Privitar As the world begins to emerge from the grips of COVID-19, it’s undeniable that the impact of the pandemic will be long lasting. With in-person interactions limited by stay-at-home mandates, organizations were forced to conduct day-to-day activity digitally, and consumers took their business online. This risePRIVITAR & AZURE
Privitar enables the safe use of sensitive data in de-identified data lakes. With the Privitar Policy Manager and Protected Data Domains™ you can centralize or federate control of creating purpose-limited datasets that employ data minimization and data fit for purpose at enterprise scale. Data protected by Privitar can be utilized in Azure’s comprehensive set of analytics, AI and MLPRESS RELEASES
Get the lastest Privitar news. View our recent accolades and pressreleases.
KAFKA CONFLUENT
Privitar Kafka Connector. Privitar Kafka Connector customers protect their data as it flows through existing pipelines in real-time, without introducing any unnecessary additional ETL or third-partytools.
DATA REDACTION: WHAT IT IS AND WHEN TO USE IT Data redaction is a data masking technique that enables you to mask data by removing or substituting all or part of the field value. DIFFERENCING ATTACKS Here you can find a short video interview with Charlie Cabot, Research Lead at Privitar, in which he talks about some of the risks of Differencing Attacks. One type of privacy attack is called a differencing attack, which targets aggregate statistics, like summary statistics, histograms and charts. The differencing attack works bysingling out
LINKAGE ATTACK
Linkage Attack: A linkage attack is an attempt to re-identify individuals in an anonymized dataset by combining that data with background information. 4 KEY CONSIDERATIONS FOR PROTECTING DATA AND PRIVACY IN Protecting data and privacy in the cloud is critically important. Before you start that cloud migration, here are 4 key points youshould consider.
SURVEY RESULTS: CAN DATA PRIVACY DRIVE YOUR CUSTOMER It’s imperative that businesses take a leadership role in protecting their customers’ data. Customer loyalty may depend on it. PRIVITAR AUTHORS REVIEW OF DIFFERENTIAL PRIVACY FOR THE Privitar was invited to work with the ONS on one of the contributing articles of their report to highlight new capabilities for managing and mitigating privacy risk. The chapter examines how new attacks on national statistics have driven the need for a stronger, more formal defence, as provided by the emerging field of differential privacy. ENTERPRISE DATA PRIVACY SOFTWARE Provisioning Platform. The Privitar Data Provisioning Platform is a comprehensive, modern data provisioning platform that enables collaboration across data owners, data consumers and data guardians to deliver safe data – within and beyond an organization – in a fraction of the time compared with traditional approaches. EarlyAccess.
ABOUT US | PRIVITAR
About Us. Privitar is committed to bringing organizations the latest in privacy engineering. Privitar is unique in combining technology, thought leadership, expert services, and customer success to partner with customers on their privacy journey. Founded in 2014, co-founders Jason du Preez and John Taysom united to combine John’s academicCAREERS | PRIVITAR
The Privitar team is working from home at this time, and our interviews across all roles have been adapted to operate fully remotely. As a result we’ve hired and onboarded more than 40 people virtually since the pandemic began. We have developed our ways of working to make sure new joiners feel part of our team straight away.PRESS RELEASES
Our team of data privacy experts is here to answer your questions and discuss how data privacy can fuel your business. Request Demo Contact us. Drift Widget. Drift Widget. Marketo Forms 2 Cross Domain request proxy frame. This page is used by Marketo FormsPRIVITAR & AZURE
Privitar enables the safe use of sensitive data in de-identified data lakes. With the Privitar Policy Manager and Protected Data Domains™ you can centralize or federate control of creating purpose-limited datasets that employ data minimization and data fit for purpose at enterprise scale. Data protected by Privitar can be utilized in Azure’s comprehensive set of analytics, AI and ML K - ANONYMITY: AN INTRODUCTION K -anonymity is a key concept that was introduced to address the risk of re-identification of anonymised data through linkage to other datasets. The k -anonymity privacy model was first proposed in 1998 by Latanya Sweeney in her paper ‘ Protecting privacy when disclosing information: k -anonymity and its enforcement through generalizationand
KAFKA CONFLUENT
Privitar Kafka Connector. Privitar Kafka Connector customers protect their data as it flows through existing pipelines in real-time, without introducing any unnecessary additional ETL or third-partytools.
WHY YOU REALLY DON'T NEED PRODUCTION DATA FOR TEST AND DEV Using raw production data for Test and Dev is a bad idea. Test and Dev environments, by necessity, don’t have the same security controls as production environments. When you move your sensitive data into one, you open it up to a much wider group of users ‘ who may or may not be employed by your business. The result is a massively increased DIFFERENCING ATTACKS Differencing Attacks – Introduction Video. Here you can find a short video interview with Charlie Cabot, Research Lead at Privitar, in which he talks about some of the risks of Differencing Attacks. One type of privacy attack is called a differencing attack, which targets aggregate statistics, like summary statistics, histograms and SINGAPORE GOVERNMENT WISELY ROLLS OUT NEW DATA PRIVACY Singapore is taking action. Following two major data breaches in the last year, the government has announced measures to reform data-protection standards across the public sector. The technical measures are the first from a new Public Sector Data Security Review Committee convened by Prime Minister Lee Hsien Loong. ENTERPRISE DATA PRIVACY SOFTWARE Provisioning Platform. The Privitar Data Provisioning Platform is a comprehensive, modern data provisioning platform that enables collaboration across data owners, data consumers and data guardians to deliver safe data – within and beyond an organization – in a fraction of the time compared with traditional approaches. EarlyAccess.
ABOUT US | PRIVITAR
About Us. Privitar is committed to bringing organizations the latest in privacy engineering. Privitar is unique in combining technology, thought leadership, expert services, and customer success to partner with customers on their privacy journey. Founded in 2014, co-founders Jason du Preez and John Taysom united to combine John’s academicCAREERS | PRIVITAR
The Privitar team is working from home at this time, and our interviews across all roles have been adapted to operate fully remotely. As a result we’ve hired and onboarded more than 40 people virtually since the pandemic began. We have developed our ways of working to make sure new joiners feel part of our team straight away.PRESS RELEASES
Our team of data privacy experts is here to answer your questions and discuss how data privacy can fuel your business. Request Demo Contact us. Drift Widget. Drift Widget. Marketo Forms 2 Cross Domain request proxy frame. This page is used by Marketo FormsPRIVITAR & AZURE
Privitar enables the safe use of sensitive data in de-identified data lakes. With the Privitar Policy Manager and Protected Data Domains™ you can centralize or federate control of creating purpose-limited datasets that employ data minimization and data fit for purpose at enterprise scale. Data protected by Privitar can be utilized in Azure’s comprehensive set of analytics, AI and ML K - ANONYMITY: AN INTRODUCTION K -anonymity is a key concept that was introduced to address the risk of re-identification of anonymised data through linkage to other datasets. The k -anonymity privacy model was first proposed in 1998 by Latanya Sweeney in her paper ‘ Protecting privacy when disclosing information: k -anonymity and its enforcement through generalizationand
KAFKA CONFLUENT
Privitar Kafka Connector. Privitar Kafka Connector customers protect their data as it flows through existing pipelines in real-time, without introducing any unnecessary additional ETL or third-partytools.
WHY YOU REALLY DON'T NEED PRODUCTION DATA FOR TEST AND DEV Using raw production data for Test and Dev is a bad idea. Test and Dev environments, by necessity, don’t have the same security controls as production environments. When you move your sensitive data into one, you open it up to a much wider group of users ‘ who may or may not be employed by your business. The result is a massively increased DIFFERENCING ATTACKS Differencing Attacks – Introduction Video. Here you can find a short video interview with Charlie Cabot, Research Lead at Privitar, in which he talks about some of the risks of Differencing Attacks. One type of privacy attack is called a differencing attack, which targets aggregate statistics, like summary statistics, histograms and SINGAPORE GOVERNMENT WISELY ROLLS OUT NEW DATA PRIVACY Singapore is taking action. Following two major data breaches in the last year, the government has announced measures to reform data-protection standards across the public sector. The technical measures are the first from a new Public Sector Data Security Review Committee convened by Prime Minister Lee Hsien Loong.PRIVITAR & AZURE
Privitar enables the safe use of sensitive data in de-identified data lakes. With the Privitar Policy Manager and Protected Data Domains™ you can centralize or federate control of creating purpose-limited datasets that employ data minimization and data fit for purpose at enterprise scale. Data protected by Privitar can be utilized in Azure’s comprehensive set of analytics, AI and MLKAFKA CONFLUENT
Privitar Kafka Connector. Privitar Kafka Connector customers protect their data as it flows through existing pipelines in real-time, without introducing any unnecessary additional ETL or third-partytools.
DIFFERENCING ATTACKS Differencing Attacks – Introduction Video. Here you can find a short video interview with Charlie Cabot, Research Lead at Privitar, in which he talks about some of the risks of Differencing Attacks. One type of privacy attack is called a differencing attack, which targets aggregate statistics, like summary statistics, histograms and PRIVITAR ACHIEVES MICROSOFT’S CO-SELL READY DESIGNATION Partnership expansion focused on helping organizations achieve greater value and faster insights from sensitive data in the cloud LONDON and BOSTON – November 12, 2020 – Privitar, the leading data privacy platform provider, announced today that it has earned Microsoft’s coveted co-sell ready designation through the Microsoft One Commercial Partner Program. Privitar has also joined DATA REDACTION: WHAT IT IS AND WHEN TO USE IT Data redaction is a data masking technique that enables you to mask (redact) data by removing or substituting all or part of the fieldvalue. This
LINKAGE ATTACK
Linkage Attack: A linkage attack is an attempt to re-identify individuals in an anonymized dataset by combining that data with background information. The ‘linking’ uses quasi-identifiers, such as zip or postcode, gender, salary, etc that are present in both sets to establish identifying connections. Many organizations aren’taware of the
USING PROTECTED CHARACTERISTICS RESPONSIBLY TO BUILD By Marcus Grazette, Europe Policy Lead at Privitar Our latest data policy event, which we held in collaboration with One HealthTech London, explored the interaction between health data and characteristics such as gender and ethnicity in the context of data-driven healthcare. This is a long-running debate. Among others, Caroline Criado-Perez argues that failing to account for gender indrug
4 KEY CONSIDERATIONS FOR PROTECTING DATA AND PRIVACY IN Protecting data and privacy in the cloud is critically important. Before you start that cloud migration, here are 4 key points youshould consider.
PRIVITAR LAUNCHES A NEW OFFICE IN SINGAPORE TO FURTHER ITS Privitar’s new Asia Pacific hub confirms its growing expansion in the APAC market. It will allow the company to support the thriving demand for data privacy technology SURVEY RESULTS: CAN DATA PRIVACY DRIVE YOUR CUSTOMER 4. Businesses must drive data privacy action. Most organizations rely on contract renewals — driven by brand loyalty — to keep operations running. They have a new opportunity to build that loyalty: by ensuring a personal sense of trust within their customer base. Based on our survey results, their customers demand it. ENTERPRISE DATA PRIVACY SOFTWARE Provisioning Platform. The Privitar Data Provisioning Platform is a comprehensive, modern data provisioning platform that enables collaboration across data owners, data consumers and data guardians to deliver safe data – within and beyond an organization – in a fraction of the time compared with traditional approaches. EarlyAccess.
ABOUT US | PRIVITAR
About Us. Privitar is committed to bringing organizations the latest in privacy engineering. Privitar is unique in combining technology, thought leadership, expert services, and customer success to partner with customers on their privacy journey. Founded in 2014, co-founders Jason du Preez and John Taysom united to combine John’s academicCAREERS | PRIVITAR
The Privitar team is working from home at this time, and our interviews across all roles have been adapted to operate fully remotely. As a result we’ve hired and onboarded more than 40 people virtually since the pandemic began. We have developed our ways of working to make sure new joiners feel part of our team straight away.PRESS RELEASES
Our team of data privacy experts is here to answer your questions and discuss how data privacy can fuel your business. Request Demo Contact us. Drift Widget. Drift Widget. Marketo Forms 2 Cross Domain request proxy frame. This page is used by Marketo Forms WHAT IS SCHREMS II AND WHY DOES IT MATTER?DE-IDENTIFICATION
Access Privitar’s Guide to De-Identification. The Privitar De-identification 101 series provides a ground-level introduction to the issues surrounding de-identification, one K - ANONYMITY: AN INTRODUCTION K -anonymity is a key concept that was introduced to address the risk of re-identification of anonymised data through linkage to other datasets. The k -anonymity privacy model was first proposed in 1998 by Latanya Sweeney in her paper ‘ Protecting privacy when disclosing information: k -anonymity and its enforcement through generalizationand
PRIVITAR LAUNCHES A NEW OFFICE IN SINGAPORE TO FURTHER ITS Privitar’s new Asia Pacific hub confirms its growing expansion in the APAC market. It will allow the company to support the thriving demand for data privacy technology WHY YOU REALLY DON'T NEED PRODUCTION DATA FOR TEST AND DEV Using raw production data for Test and Dev is a bad idea. Test and Dev environments, by necessity, don’t have the same security controls as production environments. When you move your sensitive data into one, you open it up to a much wider group of users ‘ who may or may not be employed by your business. The result is a massively increased UNLOCKING SILOED DATA FOR THE NHS Unlocking siloed data for the NHS Unlocking the power of siloed, sensitive healthcare data The Challenge The NHS have an incrediblecorpus of data from
ENTERPRISE DATA PRIVACY SOFTWARE Provisioning Platform. The Privitar Data Provisioning Platform is a comprehensive, modern data provisioning platform that enables collaboration across data owners, data consumers and data guardians to deliver safe data – within and beyond an organization – in a fraction of the time compared with traditional approaches. EarlyAccess.
ABOUT US | PRIVITAR
About Us. Privitar is committed to bringing organizations the latest in privacy engineering. Privitar is unique in combining technology, thought leadership, expert services, and customer success to partner with customers on their privacy journey. Founded in 2014, co-founders Jason du Preez and John Taysom united to combine John’s academicCAREERS | PRIVITAR
The Privitar team is working from home at this time, and our interviews across all roles have been adapted to operate fully remotely. As a result we’ve hired and onboarded more than 40 people virtually since the pandemic began. We have developed our ways of working to make sure new joiners feel part of our team straight away.PRESS RELEASES
Our team of data privacy experts is here to answer your questions and discuss how data privacy can fuel your business. Request Demo Contact us. Drift Widget. Drift Widget. Marketo Forms 2 Cross Domain request proxy frame. This page is used by Marketo Forms WHAT IS SCHREMS II AND WHY DOES IT MATTER?DE-IDENTIFICATION
Access Privitar’s Guide to De-Identification. The Privitar De-identification 101 series provides a ground-level introduction to the issues surrounding de-identification, one K - ANONYMITY: AN INTRODUCTION K -anonymity is a key concept that was introduced to address the risk of re-identification of anonymised data through linkage to other datasets. The k -anonymity privacy model was first proposed in 1998 by Latanya Sweeney in her paper ‘ Protecting privacy when disclosing information: k -anonymity and its enforcement through generalizationand
PRIVITAR LAUNCHES A NEW OFFICE IN SINGAPORE TO FURTHER ITS Privitar’s new Asia Pacific hub confirms its growing expansion in the APAC market. It will allow the company to support the thriving demand for data privacy technology WHY YOU REALLY DON'T NEED PRODUCTION DATA FOR TEST AND DEV Using raw production data for Test and Dev is a bad idea. Test and Dev environments, by necessity, don’t have the same security controls as production environments. When you move your sensitive data into one, you open it up to a much wider group of users ‘ who may or may not be employed by your business. The result is a massively increased UNLOCKING SILOED DATA FOR THE NHS Unlocking siloed data for the NHS Unlocking the power of siloed, sensitive healthcare data The Challenge The NHS have an incrediblecorpus of data from
ABOUT US | PRIVITAR
About Us. Privitar is committed to bringing organizations the latest in privacy engineering. Privitar is unique in combining technology, thought leadership, expert services, and customer success to partner with customers on their privacy journey. Founded in 2014, co-founders Jason du Preez and John Taysom united to combine John’s academic EARLY ACCESS SIGN UP Sign-up for early access. Countdown to launch with us and learn why only Privitar has the right combination of technology and expertise to create a safe and modern data provisioning ecosystem. Early access gets you a front row seat as we embark on the path of CENTRALIZED POLICY MANAGEMENT Achieve Consistency and Control. You want to leverage all your data for analytics, but data access is regularly delayed, slow or prohibited when sensitive data is involved. DATA PRIVACY 101: GUIDE TO DE-IDENTIFICATION Understanding the range of requirements and the approaches available is fundamental to making decisions about the potential data risk an organization faces. The Privitar Data De-identification 101 series provides a ground-level introduction to the issues surrounding data de-identification, one of the fundamental components of data privacy. PRIVITAR AUTHORS REVIEW OF DIFFERENTIAL PRIVACY FOR THE Privitar was invited to work with the ONS on one of the contributing articles of their report to highlight new capabilities for managing and mitigating privacy risk. The chapter examines how new attacks on national statistics have driven the need for a stronger, more formal defence, as provided by the emerging field of differential privacy. SURVEY RESULTS: CAN DATA PRIVACY DRIVE YOUR CUSTOMER 4. Businesses must drive data privacy action. Most organizations rely on contract renewals — driven by brand loyalty — to keep operations running. They have a new opportunity to build that loyalty: by ensuring a personal sense of trust within their customer base. Based on our survey results, their customers demand it.LINKAGE ATTACK
Linkage Attack: A linkage attack is an attempt to re-identify individuals in an anonymized dataset by combining that data with background information. The ‘linking’ uses quasi-identifiers, such as zip or postcode, gender, salary, etc that are present in both sets to establish identifying connections. Many organizations aren’taware of the
THE PATH TO DATA-DRIVEN BANKING WITH ABN AMRO’S MARCEL By Marcel Kramer, Head of Data Engineering at ABN AMRO From my perspective as Head of Data Engineering at ABN AMRO, it was essential that we prioritize security as we looked to modernize our architecture, because of the highly sensitive nature of the data involved in banking. We know security alone doesn’t safeguard data,protecting
DATA REDACTION: WHAT IT IS AND WHEN TO USE IT Data redaction is a data masking technique that enables you to mask (redact) data by removing or substituting all or part of the fieldvalue. This
SINGAPORE GOVERNMENT WISELY ROLLS OUT NEW DATA PRIVACY Singapore is taking action. Following two major data breaches in the last year, the government has announced measures to reform data-protection standards across the public sector. The technical measures are the first from a new Public Sector Data Security Review Committee convened by Prime Minister Lee Hsien Loong. ENTERPRISE DATA PRIVACY SOFTWARE Provisioning Platform. The Privitar Data Provisioning Platform is a comprehensive, modern data provisioning platform that enables collaboration across data owners, data consumers and data guardians to deliver safe data – within and beyond an organization – in a fraction of the time compared with traditional approaches. EarlyAccess.
ABOUT US | PRIVITAR
About Us. Privitar is committed to bringing organizations the latest in privacy engineering. Privitar is unique in combining technology, thought leadership, expert services, and customer success to partner with customers on their privacy journey. Founded in 2014, co-founders Jason du Preez and John Taysom united to combine John’s academicCAREERS | PRIVITAR
The Privitar team is working from home at this time, and our interviews across all roles have been adapted to operate fully remotely. As a result we’ve hired and onboarded more than 40 people virtually since the pandemic began. We have developed our ways of working to make sure new joiners feel part of our team straight away.PRESS RELEASES
Our team of data privacy experts is here to answer your questions and discuss how data privacy can fuel your business. Request Demo Contact us. Drift Widget. Drift Widget. Marketo Forms 2 Cross Domain request proxy frame. This page is used by Marketo Forms WHAT IS SCHREMS II AND WHY DOES IT MATTER?DE-IDENTIFICATION
Access Privitar’s Guide to De-Identification. The Privitar De-identification 101 series provides a ground-level introduction to the issues surrounding de-identification, one K - ANONYMITY: AN INTRODUCTION K -anonymity is a key concept that was introduced to address the risk of re-identification of anonymised data through linkage to other datasets. The k -anonymity privacy model was first proposed in 1998 by Latanya Sweeney in her paper ‘ Protecting privacy when disclosing information: k -anonymity and its enforcement through generalizationand
PRIVITAR LAUNCHES A NEW OFFICE IN SINGAPORE TO FURTHER ITS Privitar’s new Asia Pacific hub confirms its growing expansion in the APAC market. It will allow the company to support the thriving demand for data privacy technology WHY YOU REALLY DON'T NEED PRODUCTION DATA FOR TEST AND DEV Using raw production data for Test and Dev is a bad idea. Test and Dev environments, by necessity, don’t have the same security controls as production environments. When you move your sensitive data into one, you open it up to a much wider group of users ‘ who may or may not be employed by your business. The result is a massively increased UNLOCKING SILOED DATA FOR THE NHS Unlocking siloed data for the NHS Unlocking the power of siloed, sensitive healthcare data The Challenge The NHS have an incrediblecorpus of data from
ENTERPRISE DATA PRIVACY SOFTWARE Provisioning Platform. The Privitar Data Provisioning Platform is a comprehensive, modern data provisioning platform that enables collaboration across data owners, data consumers and data guardians to deliver safe data – within and beyond an organization – in a fraction of the time compared with traditional approaches. EarlyAccess.
ABOUT US | PRIVITAR
About Us. Privitar is committed to bringing organizations the latest in privacy engineering. Privitar is unique in combining technology, thought leadership, expert services, and customer success to partner with customers on their privacy journey. Founded in 2014, co-founders Jason du Preez and John Taysom united to combine John’s academicCAREERS | PRIVITAR
The Privitar team is working from home at this time, and our interviews across all roles have been adapted to operate fully remotely. As a result we’ve hired and onboarded more than 40 people virtually since the pandemic began. We have developed our ways of working to make sure new joiners feel part of our team straight away.PRESS RELEASES
Our team of data privacy experts is here to answer your questions and discuss how data privacy can fuel your business. Request Demo Contact us. Drift Widget. Drift Widget. Marketo Forms 2 Cross Domain request proxy frame. This page is used by Marketo Forms WHAT IS SCHREMS II AND WHY DOES IT MATTER?DE-IDENTIFICATION
Access Privitar’s Guide to De-Identification. The Privitar De-identification 101 series provides a ground-level introduction to the issues surrounding de-identification, one K - ANONYMITY: AN INTRODUCTION K -anonymity is a key concept that was introduced to address the risk of re-identification of anonymised data through linkage to other datasets. The k -anonymity privacy model was first proposed in 1998 by Latanya Sweeney in her paper ‘ Protecting privacy when disclosing information: k -anonymity and its enforcement through generalizationand
PRIVITAR LAUNCHES A NEW OFFICE IN SINGAPORE TO FURTHER ITS Privitar’s new Asia Pacific hub confirms its growing expansion in the APAC market. It will allow the company to support the thriving demand for data privacy technology WHY YOU REALLY DON'T NEED PRODUCTION DATA FOR TEST AND DEV Using raw production data for Test and Dev is a bad idea. Test and Dev environments, by necessity, don’t have the same security controls as production environments. When you move your sensitive data into one, you open it up to a much wider group of users ‘ who may or may not be employed by your business. The result is a massively increased UNLOCKING SILOED DATA FOR THE NHS Unlocking siloed data for the NHS Unlocking the power of siloed, sensitive healthcare data The Challenge The NHS have an incrediblecorpus of data from
ABOUT US | PRIVITAR
About Us. Privitar is committed to bringing organizations the latest in privacy engineering. Privitar is unique in combining technology, thought leadership, expert services, and customer success to partner with customers on their privacy journey. Founded in 2014, co-founders Jason du Preez and John Taysom united to combine John’s academic EARLY ACCESS SIGN UP Sign-up for early access. Countdown to launch with us and learn why only Privitar has the right combination of technology and expertise to create a safe and modern data provisioning ecosystem. Early access gets you a front row seat as we embark on the path of CENTRALIZED POLICY MANAGEMENT Achieve Consistency and Control. You want to leverage all your data for analytics, but data access is regularly delayed, slow or prohibited when sensitive data is involved. PRIVITAR AUTHORS REVIEW OF DIFFERENTIAL PRIVACY FOR THE Privitar was invited to work with the ONS on one of the contributing articles of their report to highlight new capabilities for managing and mitigating privacy risk. The chapter examines how new attacks on national statistics have driven the need for a stronger, more formal defence, as provided by the emerging field of differential privacy. DATA PRIVACY 101: GUIDE TO DE-IDENTIFICATION Understanding the range of requirements and the approaches available is fundamental to making decisions about the potential data risk an organization faces. The Privitar Data De-identification 101 series provides a ground-level introduction to the issues surrounding data de-identification, one of the fundamental components of data privacy.LINKAGE ATTACK
Linkage Attack: A linkage attack is an attempt to re-identify individuals in an anonymized dataset by combining that data with background information. The ‘linking’ uses quasi-identifiers, such as zip or postcode, gender, salary, etc that are present in both sets to establish identifying connections. Many organizations aren’taware of the
DATA REDACTION: WHAT IT IS AND WHEN TO USE IT Data redaction is a data masking technique that enables you to mask (redact) data by removing or substituting all or part of the fieldvalue. This
SURVEY RESULTS: CAN DATA PRIVACY DRIVE YOUR CUSTOMER 4. Businesses must drive data privacy action. Most organizations rely on contract renewals — driven by brand loyalty — to keep operations running. They have a new opportunity to build that loyalty: by ensuring a personal sense of trust within their customer base. Based on our survey results, their customers demand it. THE PATH TO DATA-DRIVEN BANKING WITH ABN AMRO’S MARCEL By Marcel Kramer, Head of Data Engineering at ABN AMRO From my perspective as Head of Data Engineering at ABN AMRO, it was essential that we prioritize security as we looked to modernize our architecture, because of the highly sensitive nature of the data involved in banking. We know security alone doesn’t safeguard data,protecting
SINGAPORE GOVERNMENT WISELY ROLLS OUT NEW DATA PRIVACY Singapore is taking action. Following two major data breaches in the last year, the government has announced measures to reform data-protection standards across the public sector. The technical measures are the first from a new Public Sector Data Security Review Committee convened by Prime Minister Lee Hsien Loong. ENTERPRISE DATA PRIVACY SOFTWARE Provisioning Platform. The Privitar Data Provisioning Platform is a comprehensive, modern data provisioning platform that enables collaboration across data owners, data consumers and data guardians to deliver safe data – within and beyond an organization – in a fraction of the time compared with traditional approaches. EarlyAccess.
ABOUT US | PRIVITAR
About Us. Privitar is committed to bringing organizations the latest in privacy engineering. Privitar is unique in combining technology, thought leadership, expert services, and customer success to partner with customers on their privacy journey. Founded in 2014, co-founders Jason du Preez and John Taysom united to combine John’s academicCAREERS | PRIVITAR
The Privitar team is working from home at this time, and our interviews across all roles have been adapted to operate fully remotely. As a result we’ve hired and onboarded more than 40 people virtually since the pandemic began. We have developed our ways of working to make sure new joiners feel part of our team straight away.PRESS RELEASES
Our team of data privacy experts is here to answer your questions and discuss how data privacy can fuel your business. Request Demo Contact us. Drift Widget. Drift Widget. Marketo Forms 2 Cross Domain request proxy frame. This page is used by Marketo Forms WHAT IS SCHREMS II AND WHY DOES IT MATTER?DE-IDENTIFICATION
Access Privitar’s Guide to De-Identification. The Privitar De-identification 101 series provides a ground-level introduction to the issues surrounding de-identification, one K - ANONYMITY: AN INTRODUCTION K -anonymity is a key concept that was introduced to address the risk of re-identification of anonymised data through linkage to other datasets. The k -anonymity privacy model was first proposed in 1998 by Latanya Sweeney in her paper ‘ Protecting privacy when disclosing information: k -anonymity and its enforcement through generalizationand
PRIVITAR LAUNCHES A NEW OFFICE IN SINGAPORE TO FURTHER ITS Privitar’s new Asia Pacific hub confirms its growing expansion in the APAC market. It will allow the company to support the thriving demand for data privacy technology WHY YOU REALLY DON'T NEED PRODUCTION DATA FOR TEST AND DEV Using raw production data for Test and Dev is a bad idea. Test and Dev environments, by necessity, don’t have the same security controls as production environments. When you move your sensitive data into one, you open it up to a much wider group of users ‘ who may or may not be employed by your business. The result is a massively increased UNLOCKING SILOED DATA FOR THE NHS Unlocking siloed data for the NHS Unlocking the power of siloed, sensitive healthcare data The Challenge The NHS have an incrediblecorpus of data from
ENTERPRISE DATA PRIVACY SOFTWARE Provisioning Platform. The Privitar Data Provisioning Platform is a comprehensive, modern data provisioning platform that enables collaboration across data owners, data consumers and data guardians to deliver safe data – within and beyond an organization – in a fraction of the time compared with traditional approaches. EarlyAccess.
ABOUT US | PRIVITAR
About Us. Privitar is committed to bringing organizations the latest in privacy engineering. Privitar is unique in combining technology, thought leadership, expert services, and customer success to partner with customers on their privacy journey. Founded in 2014, co-founders Jason du Preez and John Taysom united to combine John’s academicCAREERS | PRIVITAR
The Privitar team is working from home at this time, and our interviews across all roles have been adapted to operate fully remotely. As a result we’ve hired and onboarded more than 40 people virtually since the pandemic began. We have developed our ways of working to make sure new joiners feel part of our team straight away.PRESS RELEASES
Our team of data privacy experts is here to answer your questions and discuss how data privacy can fuel your business. Request Demo Contact us. Drift Widget. Drift Widget. Marketo Forms 2 Cross Domain request proxy frame. This page is used by Marketo Forms WHAT IS SCHREMS II AND WHY DOES IT MATTER?DE-IDENTIFICATION
Access Privitar’s Guide to De-Identification. The Privitar De-identification 101 series provides a ground-level introduction to the issues surrounding de-identification, one K - ANONYMITY: AN INTRODUCTION K -anonymity is a key concept that was introduced to address the risk of re-identification of anonymised data through linkage to other datasets. The k -anonymity privacy model was first proposed in 1998 by Latanya Sweeney in her paper ‘ Protecting privacy when disclosing information: k -anonymity and its enforcement through generalizationand
PRIVITAR LAUNCHES A NEW OFFICE IN SINGAPORE TO FURTHER ITS Privitar’s new Asia Pacific hub confirms its growing expansion in the APAC market. It will allow the company to support the thriving demand for data privacy technology WHY YOU REALLY DON'T NEED PRODUCTION DATA FOR TEST AND DEV Using raw production data for Test and Dev is a bad idea. Test and Dev environments, by necessity, don’t have the same security controls as production environments. When you move your sensitive data into one, you open it up to a much wider group of users ‘ who may or may not be employed by your business. The result is a massively increased UNLOCKING SILOED DATA FOR THE NHS Unlocking siloed data for the NHS Unlocking the power of siloed, sensitive healthcare data The Challenge The NHS have an incrediblecorpus of data from
ABOUT US | PRIVITAR
About Us. Privitar is committed to bringing organizations the latest in privacy engineering. Privitar is unique in combining technology, thought leadership, expert services, and customer success to partner with customers on their privacy journey. Founded in 2014, co-founders Jason du Preez and John Taysom united to combine John’s academic EARLY ACCESS SIGN UP Sign-up for early access. Countdown to launch with us and learn why only Privitar has the right combination of technology and expertise to create a safe and modern data provisioning ecosystem. Early access gets you a front row seat as we embark on the path of CENTRALIZED POLICY MANAGEMENT Achieve Consistency and Control. You want to leverage all your data for analytics, but data access is regularly delayed, slow or prohibited when sensitive data is involved. PRIVITAR AUTHORS REVIEW OF DIFFERENTIAL PRIVACY FOR THE Privitar was invited to work with the ONS on one of the contributing articles of their report to highlight new capabilities for managing and mitigating privacy risk. The chapter examines how new attacks on national statistics have driven the need for a stronger, more formal defence, as provided by the emerging field of differential privacy. DATA PRIVACY 101: GUIDE TO DE-IDENTIFICATION Understanding the range of requirements and the approaches available is fundamental to making decisions about the potential data risk an organization faces. The Privitar Data De-identification 101 series provides a ground-level introduction to the issues surrounding data de-identification, one of the fundamental components of data privacy.LINKAGE ATTACK
Linkage Attack: A linkage attack is an attempt to re-identify individuals in an anonymized dataset by combining that data with background information. The ‘linking’ uses quasi-identifiers, such as zip or postcode, gender, salary, etc that are present in both sets to establish identifying connections. Many organizations aren’taware of the
DATA REDACTION: WHAT IT IS AND WHEN TO USE IT Data redaction is a data masking technique that enables you to mask (redact) data by removing or substituting all or part of the fieldvalue. This
SURVEY RESULTS: CAN DATA PRIVACY DRIVE YOUR CUSTOMER 4. Businesses must drive data privacy action. Most organizations rely on contract renewals — driven by brand loyalty — to keep operations running. They have a new opportunity to build that loyalty: by ensuring a personal sense of trust within their customer base. Based on our survey results, their customers demand it. THE PATH TO DATA-DRIVEN BANKING WITH ABN AMRO’S MARCEL By Marcel Kramer, Head of Data Engineering at ABN AMRO From my perspective as Head of Data Engineering at ABN AMRO, it was essential that we prioritize security as we looked to modernize our architecture, because of the highly sensitive nature of the data involved in banking. We know security alone doesn’t safeguard data,protecting
SINGAPORE GOVERNMENT WISELY ROLLS OUT NEW DATA PRIVACY Singapore is taking action. Following two major data breaches in the last year, the government has announced measures to reform data-protection standards across the public sector. The technical measures are the first from a new Public Sector Data Security Review Committee convened by Prime Minister Lee Hsien Loong. ENTERPRISE DATA PRIVACY SOFTWARE Provisioning Platform. The Privitar Data Provisioning Platform is a comprehensive, modern data provisioning platform that enables collaboration across data owners, data consumers and data guardians to deliver safe data – within and beyond an organization – in a fraction of the time compared with traditional approaches. EarlyAccess.
ABOUT US | PRIVITAR
About Us. Privitar is committed to bringing organizations the latest in privacy engineering. Privitar is unique in combining technology, thought leadership, expert services, and customer success to partner with customers on their privacy journey. Founded in 2014, co-founders Jason du Preez and John Taysom united to combine John’s academicCAREERS | PRIVITAR
The Privitar team is working from home at this time, and our interviews across all roles have been adapted to operate fully remotely. As a result we’ve hired and onboarded more than 40 people virtually since the pandemic began. We have developed our ways of working to make sure new joiners feel part of our team straight away.PRESS RELEASES
Our team of data privacy experts is here to answer your questions and discuss how data privacy can fuel your business. Request Demo Contact us. Drift Widget. Drift Widget. Marketo Forms 2 Cross Domain request proxy frame. This page is used by Marketo FormsKAFKA CONFLUENT
Privitar Kafka Connector. Privitar Kafka Connector customers protect their data as it flows through existing pipelines in real-time, without introducing any unnecessary additional ETL or third-partytools.
K - ANONYMITY: AN INTRODUCTION K -anonymity is a key concept that was introduced to address the risk of re-identification of anonymised data through linkage to other datasets. The k -anonymity privacy model was first proposed in 1998 by Latanya Sweeney in her paper ‘ Protecting privacy when disclosing information: k -anonymity and its enforcement through generalizationand
WHY YOU REALLY DON'T NEED PRODUCTION DATA FOR TEST AND DEV Using raw production data for Test and Dev is a bad idea. Test and Dev environments, by necessity, don’t have the same security controls as production environments. When you move your sensitive data into one, you open it up to a much wider group of users ‘ who may or may not be employed by your business. The result is a massively increased DIFFERENCING ATTACKS Differencing Attacks – Introduction Video. Here you can find a short video interview with Charlie Cabot, Research Lead at Privitar, in which he talks about some of the risks of Differencing Attacks. One type of privacy attack is called a differencing attack, which targets aggregate statistics, like summary statistics, histograms and SINGAPORE GOVERNMENT WISELY ROLLS OUT NEW DATA PRIVACY Singapore is taking action. Following two major data breaches in the last year, the government has announced measures to reform data-protection standards across the public sector. The technical measures are the first from a new Public Sector Data Security Review Committee convened by Prime Minister Lee Hsien Loong. UNLOCKING SILOED DATA FOR THE NHS Unlocking siloed data for the NHS Unlocking the power of siloed, sensitive healthcare data The Challenge The NHS have an incrediblecorpus of data from
ENTERPRISE DATA PRIVACY SOFTWARE Provisioning Platform. The Privitar Data Provisioning Platform is a comprehensive, modern data provisioning platform that enables collaboration across data owners, data consumers and data guardians to deliver safe data – within and beyond an organization – in a fraction of the time compared with traditional approaches. EarlyAccess.
ABOUT US | PRIVITAR
About Us. Privitar is committed to bringing organizations the latest in privacy engineering. Privitar is unique in combining technology, thought leadership, expert services, and customer success to partner with customers on their privacy journey. Founded in 2014, co-founders Jason du Preez and John Taysom united to combine John’s academicCAREERS | PRIVITAR
The Privitar team is working from home at this time, and our interviews across all roles have been adapted to operate fully remotely. As a result we’ve hired and onboarded more than 40 people virtually since the pandemic began. We have developed our ways of working to make sure new joiners feel part of our team straight away.PRESS RELEASES
Our team of data privacy experts is here to answer your questions and discuss how data privacy can fuel your business. Request Demo Contact us. Drift Widget. Drift Widget. Marketo Forms 2 Cross Domain request proxy frame. This page is used by Marketo FormsKAFKA CONFLUENT
Privitar Kafka Connector. Privitar Kafka Connector customers protect their data as it flows through existing pipelines in real-time, without introducing any unnecessary additional ETL or third-partytools.
K - ANONYMITY: AN INTRODUCTION K -anonymity is a key concept that was introduced to address the risk of re-identification of anonymised data through linkage to other datasets. The k -anonymity privacy model was first proposed in 1998 by Latanya Sweeney in her paper ‘ Protecting privacy when disclosing information: k -anonymity and its enforcement through generalizationand
WHY YOU REALLY DON'T NEED PRODUCTION DATA FOR TEST AND DEV Using raw production data for Test and Dev is a bad idea. Test and Dev environments, by necessity, don’t have the same security controls as production environments. When you move your sensitive data into one, you open it up to a much wider group of users ‘ who may or may not be employed by your business. The result is a massively increased DIFFERENCING ATTACKS Differencing Attacks – Introduction Video. Here you can find a short video interview with Charlie Cabot, Research Lead at Privitar, in which he talks about some of the risks of Differencing Attacks. One type of privacy attack is called a differencing attack, which targets aggregate statistics, like summary statistics, histograms and SINGAPORE GOVERNMENT WISELY ROLLS OUT NEW DATA PRIVACY Singapore is taking action. Following two major data breaches in the last year, the government has announced measures to reform data-protection standards across the public sector. The technical measures are the first from a new Public Sector Data Security Review Committee convened by Prime Minister Lee Hsien Loong. UNLOCKING SILOED DATA FOR THE NHS Unlocking siloed data for the NHS Unlocking the power of siloed, sensitive healthcare data The Challenge The NHS have an incrediblecorpus of data from
ABOUT US | PRIVITAR
About Us. Privitar is committed to bringing organizations the latest in privacy engineering. Privitar is unique in combining technology, thought leadership, expert services, and customer success to partner with customers on their privacy journey. Founded in 2014, co-founders Jason du Preez and John Taysom united to combine John’s academic DATA PRIVACY MYTHS DEBUNKED By Paula Furnace, Product Marketing and Strategy at Privitar Data privacy is a complex and often misunderstood topic. Just like data itself, there can be a lot of information to dig through and manage. Layer on the countless new and rapidly evolving privacy regulations, and it can be nearly impossible to know how to interpretPRIVITAR & AZURE
Privitar enables the safe use of sensitive data in de-identified data lakes. With the Privitar Policy Manager and Protected Data Domains™ you can centralize or federate control of creating purpose-limited datasets that employ data minimization and data fit for purpose at enterprise scale. Data protected by Privitar can be utilized in Azure’s comprehensive set of analytics, AI and ML DIFFERENCING ATTACKS Differencing Attacks – Introduction Video. Here you can find a short video interview with Charlie Cabot, Research Lead at Privitar, in which he talks about some of the risks of Differencing Attacks. One type of privacy attack is called a differencing attack, which targets aggregate statistics, like summary statistics, histograms and PRIVITAR ACHIEVES MICROSOFT’S CO-SELL READY DESIGNATION Partnership expansion focused on helping organizations achieve greater value and faster insights from sensitive data in the cloud LONDON and BOSTON – November 12, 2020 – Privitar, the leading data privacy platform provider, announced today that it has earned Microsoft’s coveted co-sell ready designation through the Microsoft One Commercial Partner Program. Privitar has also joined USING PROTECTED CHARACTERISTICS RESPONSIBLY TO BUILD By Marcus Grazette, Europe Policy Lead at Privitar Our latest data policy event, which we held in collaboration with One HealthTech London, explored the interaction between health data and characteristics such as gender and ethnicity in the context of data-driven healthcare. This is a long-running debate. Among others, Caroline Criado-Perez argues that failing to account for gender indrug
LINKAGE ATTACK
Linkage Attack: A linkage attack is an attempt to re-identify individuals in an anonymized dataset by combining that data with background information. The ‘linking’ uses quasi-identifiers, such as zip or postcode, gender, salary, etc that are present in both sets to establish identifying connections. Many organizations aren’taware of the
PRIVITAR LAUNCHES A NEW OFFICE IN SINGAPORE TO FURTHER ITS Privitar’s new Asia Pacific hub confirms its growing expansion in the APAC market. It will allow the company to support the thriving demand for data privacy technology DATA REDACTION: WHAT IT IS AND WHEN TO USE IT Data redaction is a data masking technique that enables you to mask (redact) data by removing or substituting all or part of the fieldvalue. This
4 KEY CONSIDERATIONS FOR PROTECTING DATA AND PRIVACY IN Protecting data and privacy in the cloud is critically important. Before you start that cloud migration, here are 4 key points youshould consider.
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* Anti-Money Laundering * Regulatory Compliance* CCPA
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PRIVITAR IS DATA PRIVACY Unlock the advantage of data-driven insights while ensuring dataprivacy
Join Our Q&A Session ENTERPRISE DATA PRIVACY SOFTWARE Data-driven enterprises rely on Privitar’s data privacy management platform to de-identify data, minimize
risk and achieve regulatory compliancewhile
freeing them to use advanced analytics, artificial intelligence and machine learning to extract the maximum value from the sensitive personal data they collect, manage and use.__
DE-IDENTIFICATION
Maximize privacy and utility of datasets across multiple environments, with state-of-the-art data de-identification techniques.Learn More
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WATERMARKS
Embed invisible watermarks into protected anonymized data. Watermarks allow the origin and lineage of a file to be established.Learn More
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POLICY MANAGEMENT
Privitar's easy-to-use management interface allows non-technical users to author, review and manage data protection policies.Learn More
SAFE, USABLE DATA
Privitar is dedicated to helping organizations realize the promise of their most valuable asset – safe, usable data – to empower them to create better products, services and customer experiences. As part of a modern data architecture, the Privitar Data Privacy Platform protects user data so that enterprises can minimize privacy risk – preserving customers’ hard-won trust and achieving regulatorycompliance.
REQUEST A DEMO of our enterprise data privacy software. See how your business leaders and data scientists can extract the most value from sensitive customer data while simultaneously minimizing risk.64 %
of businesses have seen others lose advantages by not making the mostof their data
74 %
of business leaders agree their company could do more to make data available to those that need it81 %
of senior executives consider protecting customer privacy of paramountimportance
PRIVITAR IS THE ONLY DATA PRIVACY MANAGEMENT PLATFORM THAT ENABLES DATA-DRIVEN INNOVATION Unleash data-driven insights over intuition and experience to accelerate growth, improve outcomes and delight customers. ACCELERATED INSIGHTS Say goodbye to slow, error-prone, manual data provisioning. Integrate privacy into your pipeline and automate your data lifecyle. UNCOMPROMISING PRIVACY Don’t rely on yesterday’s security methods. Only Privitar supports the full range of de-identification techniquesin any combination.
CLOUD TRANSFORMATIONS Realize the promise of the cloud - data lakes, elastic compute, advanced AI/ML - control what data moves outside your four walls. DEMONSTRABLE COMPLIANCEComply with GDPR
, CCPA
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HIPAA, etc. Consistently apply data privacy controls across all of your sensitive data.ENTERPRISE SCALE
No need for shadow clusters to process privacy rules. Privitar is built for modern data architectures.Learn More
JOIN THE WORLD’S LEADING DATA PRIVACY CONVERSATION 14TH MAY 2020 | DIGITAL CONFERENCE On May 14th, we will host the first ever In:Confidence Digital, a special digital event focused on uniting the data privacy community online. We’ll broadcast live-streamed video sessions, including presentations from AWS and the Financial Times, to audiences acrossthe globe.
We hope that you will be able to join us on May 14th for this day of valuable content and virtual community-building. READY TO LEARN MORE? Our team of data privacy experts are here to answer your questions and discuss how data privacy can fuel your business.Contact Us
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* London HQ – 15 Hatfields, London SE1 8DJ, UK * New York – 368 9th Ave, 10016, NY, USA * Boston – 200 Portland St, 02114, MA, USA * Paris – 33 Rue du Mail, 75002, Paris, France* See all locations
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