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Establish Recurring Triage Process for AI Insider Risk Alerts

Implementation Effort: Medium – Requires defining triage workflows, assigning SOC analysts to review AI-specific insider risk alerts on a regular cadence, and coordinating escalation paths with legal, HR, and compliance teams.
User Impact: Low – Admin and SOC activity; end users are not directly affected by the triage process, though investigations may lead to follow-up actions on individual accounts.

Overview​

Deploying Risky AI and Risky Agents policies and configuring Adaptive Protection generates a stream of insider risk alerts specific to AI interactions. These alerts surface when users exhibit behaviors that match risk indicators — excessive Copilot queries against sensitive content, agents accessing data outside their expected scope, attempts to exfiltrate AI-generated summaries, or patterns that suggest a user is systematically using AI to reconnaissance the data estate. Without a recurring triage process, these alerts accumulate without review, and the detection capabilities the organization invested in become shelfware.

A recurring triage process means assigning ownership, defining cadence, and building escalation paths. Designated analysts in the SOC or insider risk team review AI-specific alerts on a defined schedule — daily for high-severity alerts, weekly for medium and informational signals. Each alert requires a disposition decision: confirm as a true positive and escalate, dismiss as benign, or flag for further investigation. The triage process must also account for context that automated detection cannot provide — a spike in Copilot queries from a departing employee has a different risk profile than the same spike from someone onboarding to a new project.

Escalation paths connect the triage process to organizational response. When an AI insider risk alert is confirmed, the analyst must know who to notify — HR for policy violations, legal for potential litigation holds, the security team for account restriction, and compliance for regulatory reporting. These paths should be documented and tested before alerts start flowing, not improvised during the first real incident. Microsoft Purview Insider Risk Management provides case management capabilities that support this workflow, including the ability to assign cases, add notes, and track investigation progress.

This activity supports Assume Breach by ensuring that when AI-related insider risk signals are detected, they are acted on promptly rather than sitting in a queue. It supports Verify Explicitly by requiring human review of automated risk signals — Adaptive Protection handles automated enforcement, but human judgment is needed to distinguish between a genuine insider threat and a false positive that requires policy tuning.

Without a triage process, the organization has detection without response. Alerts fire, risk scores adjust, and Adaptive Protection may restrict access — but no one investigates the root cause. A user systematically extracting sensitive data through Copilot may trigger alerts that are never reviewed, allowing the exfiltration to continue until the damage is done. Equally problematic, false positives that are never triaged lead to unnecessary access restrictions on legitimate users, eroding trust in the AI governance program.

Reference​