Manual data classification can’t keep up with modern data environments. Enterprises now manage petabytes of constantly moving, largely unstructured data across cloud, SaaS, and AI systems, accessed by both humans and machines. Automated data classification enables consistent protection, scalable policy enforcement, and safe AI governance, making it the foundation for data-centric security.
Discovery: You Can’t Protect What You Can’t Find
Continuously discover sensitive data everywhere it hides so protection keeps pace with how data is actually created, copied, and shared.
Reveal sensitive data hidden in:
Forgotten cloud storage buckets, shares, and overshared collaboration folders
Legacy file shares, archives, data lakes, analytics environments, and sandboxes
AI exposed knowledge bases and training datasets, before it’s reused at machine speed
Classification: Accuracy Is Non-Negotiable
Classify sensitive data with the accuracy needed to trust automation, calm DLP noise, and scale protection with confidence.
Precisely identify critical sensitive data including:
PII, PHI, PCI, and regulated data alongside credentials, secrets, and sensitive tokens
Intellectual property and confidential and sensitive data inside unstructured formats
Business-specific sensitive data using custom policies tailored to your environment
Context: From Detection to Real Risk Understanding
Move from raw findings to real risk insight by understanding who can access sensitive data, how widely it’s shared, and how it’s actually used.
Turn rich data context into decisive action to:
See who can access data and how broadly it’s shared internally and externally
Understand where data lives and moves, including residency and cross-border flows
Prioritize risk based on which production, analytics, policies, and AI workflows rely on sensitive data
Labeling: Making Classification Enforceable
Turn accurate classification into automatic control by applying consistent labels that drive policies across your entire data estate.
Harness accurate sensitive data labels to:
Consistently enforce policies and DLP outcomes
Automate access controls, encryption workflows, and lifecycle actions
Enforce retention, deletion, and AI guardrails that stand up to audits and prevent leakage
%202.png)