IAPP Global Privacy Summit – Booth #202 – BigID,
Inc., the leader in ML-driven personal data discovery and privacy,
today announced first-of-their-kind data access rights management
features to help enterprises automate fulfillment of personal data
access requests for privacy regulations like the California Consumer
Privacy Act (CCPA).
Personal data rights around access and deletion of personal information
are a cornerstone of more than 130 privacy regulations around the world.
The laws grant consumers the right to access and in some instances,
delete, correct or port the data organizations hold on them. For
companies, this requires a new ability to locate all the personal data
they hold on every individual across their entire data and application
landscape.
BigID pioneered the technology to help organizations find and inventory
personal information by identity to fulfill privacy-driven personal data
rights. The new advanced capabilities expand the company’s market
leadership in enterprise data access lifecycle management.
The new features include:
- Enhanced AI for identifying contextual personal data
- Smarter classification and correlation for connecting data to a person
-
Expanded data coverage to more than 50 systems in the data center and
cloud - Enhanced data access management capabilities for analysts and operators
- New programmatic bulk processing capabilities for high volume requests
- Deep customization and summarization templates for tailored responses
- Enriched workflows for deletion, correction and portability
- Consent tracking and orchestration
- Automation for validating deleted data
- SDK integration with web and mobile data access request portals
“BigID was first to market with technology that can deliver on the
vision of personal data rights enshrined in privacy regulations like the
EU’s GDPR and now CCPA,” said Nimrod Vax, co-founder and chief product
officer, BigID. “We believe that data access rights are foundational to
privacy, however, they require new capabilities for the enterprise to
find, resolve and connect even contextual personal data back to a person
at petabyte scale. These latest data access features further cement our
leadership in this critical privacy segment.”
BigID will demonstrate its platform and new capabilities at the upcoming IAPP
Global Privacy Summit, booth #202, May 2-3, 2019 in Washington, D.C.
Nimrod Vax will be leading a session, “Automating Data Access Requests
for CCPA and GDPR,” on May 2 at 8:10 a.m. at the IAPP
Global Privacy Summit, where he will
highlight the latest technology innovation for managing personal data
rights from request to response.
BigID will also be sponsoring a privacy engineering workshop at the IAPP
Global Privacy Summit on May 2 at 12:15 p.m. at the Marriott Marquis
in Washington, D.C. featuring panelists from Uber, NIST, MITRE, Cisco
and CableLabs. Interested parties can register here.
To learn more about BigID or to schedule a product demo outside of the
conference, go to http://bigid.com/demo
or contact BigID at info@bigid.com.
About BigID
Based in New York and Tel Aviv, BigID uses
advanced machine learning and identity intelligence to help enterprises
better protect their customer and employee data at petabyte scale. Using
BigID, enterprises can better safeguard and assure the privacy of their
most sensitive data, reducing breach risk and enabling compliance with
emerging data protection regulations like the EU’s General Data
Protection Regulation and California Consumer Privacy Act. BigID has
raised $46M in funding since its founding in 2016 and has been
recognized for its privacy innovation as the 2018 RSA Conference
Innovation Sandbox winner, a CB Insights 2018 Cyber Defender, Network
Products Guide 2018 IT World Awards “Hot Company of the Year” winner, a
2019 InformationWeek Vendor to Watch, and a 2019 Business Insider
enterprise vendor “to bet your career on.” Learn more at http://bigid.com
or visit us at http://bigid.com/demo
to schedule a demo.
View source version on businesswire.com: https://www.businesswire.com/news/home/20190501005682/en/