Privitar has announced a new integration with Collibra that combines data intelligence with privacy preservation to accelerate access to safe data. Through the API-based integration, users can democratize access to sensitive data across an organization.
Data users can effectively browse and request data within their Collibra Data Catalog, and have Privitar’s data privacy protections seamlessly applied.
“Enterprise data often contains sensitive or confidential information, and the provisioning process needs to deliver safe datasets with minimal or no delays or overhead,” said Marc Moesse, Vice President of Product at Privitar.
“The integration between Privitar and Collibra was designed to address those challenges by streamlining and building data privacy protections directly into the data provisioning process, empowering users to unlock the value of data and turn it into a strategic asset.
“As a result, data users will have quick and easy access to high-quality, trustworthy, de-identified data assets that are safe to use and useful in their analyses and algorithms.”
How the integration works
The integration of the Collibra Platform, providing full visibility of data assets and their properties, and the Privitar Data Privacy Platform’s comprehensive de-identification and policy management enables data-driven organizations to accelerate access to safe data.
Through the integration, organizations can streamline data provisioning for a broader range of users and use cases, safely accelerating access to insights from even the most sensitive datasets. The integration enables users to:
- Curate data assets across an organization and expose more data to a wider range of approved users
- Empower data users to quickly find data, searching and requesting data for their projects without having to code or script
- Track data requests and provisioned data
- Understand what data to protect, applying consistent privacy protections accordingly
- Optimizing utility while reducing risk with sophisticated de-identification techniques and advanced linkage control
- Centrally manage privacy policies to ensure data privacy is effectively governed across the enterprise
- Accelerate data provisioning of safe datasets via automation that eliminates slow, manual processes
- Automatically track the lineage of safe datasets back to the raw data used to create them
- Benefit from performance and reliability at scale
Although consumers remain concerned about sharing personal data with companies, the results of a Privitar survey highlight an opportunity for businesses to take a leadership role and build brand loyalty by protecting their customers.
The report found that more than three-quarters of respondents are concerned or very concerned about protecting their personal data, with 42 percent of consumers saying they wouldn’t share sensitive data (e.g. name, address, email address, phone number, location information, health information, banking information, social security number) with a business for any reason.
As consumers grow increasingly apprehensive when it comes to their data, business success will depend on an organizations’ ability to prioritize and successfully execute on privacy initiatives.
Disconnect between consumer sentiment and actions surrounding data protection
When it comes to the management of their data, many consumers aren’t fully aware of how brands are securing their personal information. According to the survey, 43 percent of consumers don’t know if they’ve worked with a business that has been impacted by a data breach.
When it comes to privacy notices, 28 percent admit to not reading privacy notices at all and 42 percent admitted to only skimming the text. These findings point to a growing sentiment that data privacy should be the responsibility of the business – not the customer. With this, businesses have a tremendous opportunity to make data privacy a differentiator and way to build long-term loyalty.
Pandemic creating more data sharing opportunities, still consumers are wary
Despite the growing advancements on the data protection front, 51 percent of consumers surveyed said they are still not comfortable sharing their personal information. One-third of respondents said they are most concerned about it being stolen in a breach, with another 26 percent worried about it being shared with a third party.
In the midst of the growing pandemic, COVID-19 tracking, tracing, containment and research depends on citizens opting in to share their personal data. However, the research shows that consumers are not interested in sharing their information.
When specifically asked about sharing healthcare data, only 27 percent would share health data for healthcare advancements and research. Another 21 percent of consumers surveyed would share health data for contact tracing purposes.
As data becomes more valuable to combat the pandemic, companies must provide consumers with more background and reasoning as to why they’re collecting data – and how they plan to protect it.
Upcoming U.S. elections driving consumer awareness of data privacy
As the debate grows louder across the nation, 73 percent of consumers think that there should be more government oversight at the federal and/or state/local levels. While legislation can take years to pass, it’s important for businesses to overhaul their technology and processes now to quickly address consumers’ concerns and keep business running.
Businesses must drive data privacy action
Companies rely on brand loyalty to keep their operations up and running. While often referring to affordable costs and personalization as a means to keeping business moving, many overlook the importance of instilling a more personal sense of trust within their customer base.
When working with a business, 40 percent of consumers think the brand’s trustworthiness is most important when it comes to brand loyalty and 31 percent say it’s the brand’s commitment to protecting their data.
Evenly matched up with the 30 percent of consumers who believe customer service matters most, the results prove that data protection is just as critical to keeping customers coming back for more.
However, broken trust and lost responsibility for protecting that data have severe consequences, with 24 percent saying they have either stopped doing business or done less business with a company after it was breached.
As markets grow increasingly competitive in a fluctuating economy, it’s critical for businesses to keep customer loyalty high – and as such, be more open and transparent with how they’re using personal data.
“The global COVID-19 pandemic has underscored the importance of the trust relationship companies and governments need to build with consumers in an increasingly digital world,” said Jason du Preez, CEO, Privitar.
“The results of the survey affirm the growing need for brands to focus on building and maintaining this trust, starting first and foremost with protecting customer data. As more businesses utilize the cloud to enable data driven insights, a firm commitment to data privacy will help to ensure long-term loyalty, consumer satisfaction and shareholder value.”
Privitar and BigID have partnered to provide organizations with an integrated, automated approach to tackling some of the biggest challenges associated with deriving valuable insights from sensitive data.
The integration of Privitar’s privacy engineering platform and policies with BigID’s data discovery and classification ensures that analytics teams can make use of well-defined, high resolution, de-identified datasets for their programs, and remove manual steps for privacy-aware data pipeline provisioning.
“Timely data access and minimizing privacy risk are critical success factors for today’s data leaders,” said Jason McFall, CTO of Privitar. “The partnership between Privitar and BigID makes both of these possible, enabling enterprises to leverage their data safely and at great speed.“
Today, data engineering and data science teams depend on data derived from multiple sources to drive new insights. Combining data from multiple sources amplifies the risks that individual data subjects are inappropriately profiled or re-identified.
Also, privacy compliance mandates such as the EU GDPR and the California Consumer Privacy Act limit the use of data to the assigned purpose of processing. Organizations must be able to reliably classify and provision personal data for use in a way that respects and adheres to current privacy requirements, including consistent understanding of who the data belongs to.
The integration of BigID’s machine learning-driven discovery, classification, and labeling for sensitive and personal data, combined with Privitar’s comprehensive de-identification, policy management and data provisioning enables data-driven enterprises to both streamline and de-risk their data pipelines.
API-level integration of sensitive data discovery and policy-driven de-identification allows for automated metadata exchange, and enables fast, efficient and standardized data protection and provisioning at scale.
Organizations can maximize the value of their sensitive data by realizing seamless data discovery, programmatic tagging of categories, automated data provisioning, and consistent privacy preservation.
With Privitar and BigID, organizations can leverage their most sensitive data whether it is in the cloud, on-prem or hybrid, and fuel their digital transformation across analytics, data lake, machine learning and artificial intelligence initiatives.
Through the integrated solution, customers can:
- Accelerate time from data ingestion to data usage by building privacy into their data pipelines
- Identify and classify sensitive data to automatically apply privacy protections
- Quickly find and prepare data for analyses and models without coding or scripting
- Eliminate slow, error-prone manual data scrubbing processes and automate Safe Data provisioning at scale
- Systematically adhere to privacy policies and procedures, with the ability to audit actions
- Consistently apply privacy protections across all data sources and environments
“The integration of Privitar and BigID provides a powerful and scalable approach to sensitive data discovery and analytics across the entire enterprise,” said Nimrod Vax, CPO of BigID.
“Our customers can draw on the combined discovery and performance at scale of BigID and Privitar technologies to make data available while preserving privacy for a wide range of use cases in a secure, seamless, and orchestrated process.”
Privitar, the leading data privacy platform provider, announced that the Privitar Data Privacy Platform is now available in AWS Marketplace, a digital catalog with thousands of software listings from independent software vendors that make it easy to find, test, buy, and deploy software that runs on Amazon Web Services (AWS).
Privitar’s availability in AWS Marketplace makes it easier for customers to start using software designed to protect sensitive data and accelerate safe data provisioning so they can increase insights, share data with more users, and accelerate time to data.
The company also achieved AWS Security Competency and AWS Data and Analytics Competency status, and is one of the first companies focused on the challenges of data privacy to achieve this accolade.
“The magnitude of the cloud requires a data privacy platform that operates at scale and has proven native integration with AWS components like Amazon Simple Storage Service (Amazon S3) and Amazon EMR,” said Jason du Preez, CEO of Privitar.
“Offering the Privitar Platform in AWS Marketplace streamlines the contracting process for our customers, who can now leverage existing AWS agreements instead of operating under a separate budget and process.”
Privitar is designed to eliminate technical and cultural obstacles and help accelerate cloud adoption. With the availability of the Privitar Platform in AWS Marketplace, businesses around the world can safely and efficiently maximize value from their sensitive data without compromise, and gain valuable insights that support data-driven decisions.
The launch of the Privitar Platform in AWS Marketplace is the latest in the longstanding relationship between Privitar and AWS. Privitar and AWS share top-tier enterprise customers in banking, healthcare, and the public sector. In addition, Privitar is an Advanced Technology Partner in the AWS Partner Network (APN).
Privitar’s achievement of AWS Security Competency and AWS Data and Analytics Competency status reinforces the company’s demonstrated technical proficiency and proven customer success in both of these specialized solution areas.
“Privitar’s AWS Competencies validate that our close relationship with AWS is delivering successful outcomes for our customers through powerful technology solutions built to the highest architectural standards,” added du Preez.