BigID, a leader in data security and privacy, has launched a new AI-powered tool. This tool automates and visualizes personal data flows. It’s designed for modern privacy and compliance programs.
The Agentic Data Mapping solution uses AI automation to improve privacy tasks. This helps organizations update compliance workflows. It boosts accountability and keeps clear visibility in complex data systems.
This innovation turns static privacy documents into dynamic visual maps. Organizations now see in real time how they collect, process, and share personal data. It also highlights where potential risks might arise.
As personal data travels through cloud environments, SaaS platforms, and AI systems, it gets harder to stay clear and follow the rules. Traditional spreadsheets and diagrams can’t keep up with rapid data flow and shifting global privacy laws. BigID’s agentic AI interprets Record of Processing Activities (RoPA) data. It automatically maps how data is collected, used, transformed, and transferred. This shows risky or noncompliant data flows. These could cause audit failures or regulatory problems.
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Key Highlights
Automated Privacy Mapping: Automatically create and update data flow maps from RoPA descriptions. This cuts down on manual work a lot.
Continuous Accuracy: Update RoPAs and privacy documents when systems, vendors, or processes change.
Compliance Insight: Find high-risk transfers, unauthorized processing, or cross-border movement. This helps speed up remediation.
Full Lifecycle Transparency: Monitor data from collection to retention. This increases accountability and prepares for audits.
Modern Privacy Operations: Simplify compliance with GDPR, CPRA, and other privacy laws. This cuts down on operational challenges.
“BigID is redefining how organizations approach privacy in the age of AI,” said Nimrod Vax, Chief Product Officer and Co-Founder at BigID. “By making data flow maps intelligent and self-maintaining, we’re giving privacy and risk teams the power to see and control personal data like never before.”