Security Compliance Corp. (SCC), a leading provider of identity governance solutions, announced the general availability of Access Intelligence, a next-generation risk analytics feature now integrated with its flagship Access Auditor platform, the fastest and easiest way to automate user access reviews and identity management. Designed to enhance visibility and control over user entitlements, Access Intelligence uses adaptive machine learning to identify access anomalies, security gaps, and compliance risks often missed by manual or rules-based approaches.

Access Intelligence brings automated intelligence to the heart of user access reviews. By analyzing an organization's Identity Warehouse with advanced algorithms, it identifies risk conditions often missed by traditional rule-based methods. These insights are embedded directly into Access Auditor workflows, giving reviewers real-time visibility into high-priority issues.

Unlike traditional access review tools that rely solely on static rules, Access Intelligence adapts over time to learn access patterns and deviations, creating a dynamic view of risk across the organization. The feature automatically scores and highlights users with:

• Access not aligned with organizational roles or hierarchy
• Highly privileged entitlements requiring special review
• Conflicting roles that violate separation of duties (SoD)
• Dormant or inactive user accounts based on login history
• Departed users who retain residual access

This targeted, risk-based approach replaces time-consuming manual reviews with a smarter, more efficient process—helping organizations meet compliance goals while improving overall security posture.

"Access Intelligence reflects our ongoing mission to simplify identity governance," said Steve Slater, CEO of Security Compliance Corp. "By bringing machine learning directly into access governance, we're enabling customers to move from reactive controls to proactive insight—strengthening both their security posture and compliance agility."