Policy - Operations
Summary
A to D: Policy version metadata, entitlement baselines, and credential or access change events consumed by Pillar D for anomaly detection and SOC workflows.
D to A: DLP violations, abuse patterns, red-team findings, and DSPM discoveries used by Pillar A to adjust entitlements, segmentation, and technical controls—the core technical feedback loop from operations to policy.
Standards and Specifications
- CEF
- OpenTelemetry
This interface connects the live behavior of AI systems, as observed by security and operations tooling in Pillar D, to the design of access policies and controls in Pillar A. Pillar D relies on enriched policy and entitlement context from Pillar A to distinguish expected AI usage from suspicious behavior, while Pillar A depends on structured findings from D to evolve the access model and close governance gaps over time. Without a well-defined A-D interface, AI security signals accumulate as unactioned alerts or one-off incidents instead of driving durable improvements to identity, authorization, and segmentation. Implemented well, this becomes a continuous improvement loop where AI incidents trigger targeted changes in Pillar A, and new policies are deployed with clear observability and correlation back into Pillar D.
Variants
Manual escalation from SOC to policy owners
SOC analysts triage AI-related alerts, then open tickets or structured escalations to Pillar A owners when a finding indicates that underlying roles, entitlements, or control policies need to change.
Requires lightweight process integration between SOC tooling and IGA or policy teams; works across heterogeneous tools but can be slow and inconsistent without shared metadata such as policy IDs and entitlement names.
SOAR playbooks invoking IGA or policy APIs
SOAR workflows automatically trigger access reviews, role adjustments, or temporary suspensions in IGA or policy engines when specific AI-related alert patterns or risk scores are observed.
Enables near-real-time mitigation across tools but depends on robust, authenticated APIs, clear mappings between alert types and remediation actions, and safeguards to avoid overreacting to false positives.
AI risk register managed by E-AIG and fed by D
Pillar D normalizes AI incidents and near misses into entries in an AI risk register, which E-AIG and Pillar A teams review to drive structural policy changes rather than only case-based fixes.
Requires a common taxonomy for AI risks, consistent mapping from incident fields to risk entries, and workflow integration between SIEM, ticketing, and governance tools; improves traceability of how operations findings change policy.
SIEM-to-IGA and SIEM-to-policy correlation
SIEM correlates AI activity logs with identity, entitlement, and policy-change events from Pillar A so that analytic content can attribute anomalies to specific roles, applications, or prior policy modifications.
Demands standardized event schemas and identifiers across SIEM, IGA, and policy platforms; when in place, it greatly improves explainability of AI incidents and helps prioritize policy changes with the highest risk reduction potential.
Policy-change observability in operations dashboards
Pillar A publishes policy and entitlement changes into an events stream consumed by Pillar D dashboards and detection content so that analysts can see when AI behavior shifts align with recent governance changes.
Closes the loop from policy deployment to operational impact, but requires versioned policy artifacts, eventing patterns such as audit logs or webhooks, and labeling that lets detection content tie observed changes back to policy identifiers.
Participating Vendors
Open Policy Agent
OPA (Open Policy Agent) is a CNCF policy-as-code engine serving as a core component of Pillar A's shared policy authority, called at runtime by Pillar B retrieval filters, Pillar C output orchestration, and Pillar D monitoring workflows. OPA evaluates identity context and policy rules to produce authorization decisions across AI pipelines, microservices, and API gateways.
Microsoft Sentinel
Cerbos
Cerbos is a lightweight, Git-native policy engine operating in Pillar A as a callable authorization service, with particularly strong fit for low-latency Pillar B RAG pipeline pre-retrieval checks and Pillar C output filtering. Cerbos emits authorization decision logs consumed by Pillar D SIEM for audit trails.
Linked Evidence
No public evidence links have been attached directly to this interface yet.
Assertions
Identity Security Cloud exports audit and access events to Microsoft Sentinel for unified security analytics
SailPoint Identity Security Cloud integrates with Microsoft Sentinel by exporting identity audit and access-related data into Sentinel so those events can be correlated with other security telemetry in Pillar D, providing a custom vendor integration between Pillar A identity governance and Pillar D security operations.