Contextual Classification
Metadata & Context Extraction
Access Intelligence for Mainframes
Real-Time Posture Monitoring
Integrated Policy Enforcement
Context-Aware Risk Scoring
Automatically scans VSAM, Db2, IMS, and flat files for sensitive, regulated, or shadow data.
Uses Contextual AI to apply policy-ready tags based on sensitivity, access, and business context.
Builds a multidimensional view of each record using user, system, and business context.
Maps and visualizes user access patterns, entitlements, and data interactions.
Continuously assesses adherence to security policies and regulatory controls.
Applies access, retention, and residency policies directly to mainframe datasets.
Prioritizes risks based on access behaviors, data sensitivity, and business impact.
Connects mainframe data to distributed and cloud environments without disrupting core systems.
Auto-generates regulatory and internal audit reports across hybrid environments.
Closes visibility gaps and ensures legacy systems are accounted for in your enterprise security posture.
Enables scalable, precise governance and downstream enforcement without manual effort.
Powers access decisions, policy enforcement, and risk scoring.
Identifies over-provisioned roles, toxic access combinations, and anomalous behaviors for remediation.
Detects violations early, enabling proactive remediation and audit readiness.
Reduces compliance risk without requiring application rewrites or code-level intervention.
Focuses limited resources on the most critical vulnerabilities across mainframe assets.
Unifies governance and security operations across your hybrid estate.
Streamlines audit prep, reduces manual work, and ensures defensible compliance.