Sharelock continuously analyzes every account’s entitlements, behavior, and context across all identity silos, assigning dynamic risk scores to highlight high-risk and overprivileged accounts for immediate review.
Autonomous agents collect and correlate contextual data including access logs, peer group analysis, and policy violations surfacing abnormal patterns and providing actionable insights for reviewers.
Sharelock automates access review workflows, enabling one-click approvals or revocations and triggering targeted remediation actions, such as privilege removal or MFA enforcement, directly within connected IAM systems.
Unlike traditional tools that rely on static rules or fragmented workflows, Sharelock unifies AI-driven risk scoring, automated evidence collection, and closed-loop remediation in a single platform. This approach dramatically reduces review times, eliminates excessive access, and ensures continuous compliance and least privilege setting a new standard for access governance and identity security.