Monitor AI agents for risky configurations, data access, and behavior, in line with the Agentic AI Guardrails.
Develop detections, alerts, and hunting queries for AI-related risks such as data exfiltration, prompt injection, and anomalous agent activity.
Integrate audit and usage logs from enterprise AI platforms, where feasible, to centralize monitoring.
Partner with Security on triage and response runbooks defining severity, escalation, and actions per alert type.
Design monitoring that respects privacy requirements, including the Electronic Communications Policy, by favoring risk signals and metadata over content review.
Research incoming requests for new AI tools, agents, connectors, and MCP servers, assess security risks, and recommend approval conditions.
Document risks, controls, and recommended practices aligned with the AI Acceptable Use Standard, the Agentic AI Guardrails, and UC policy IS-3.
Report on AI usage, risk trends, and open issues for security, program, and leadership audiences.
Qualifications
Required
Bachelor's degree in Information Security, Computer Science, or a related field, or equivalent experience.
5 or more years of security engineering, security operations, or cloud security experience in an enterprise environment.
Hands-on experience with CASB, SIEM, and data loss prevention tools, including app discovery, policies, and alerts.
Experience writing detection and hunting queries, and scripting (for example, Python or PowerShell) for automation, log analysis, and API integrations.
Working knowledge of identity and access management, including OAuth consent, application permissions, and service accounts.
Understanding of AI security risks such as data leakage, prompt injection, over-permissioned agents and connectors, and shadow AI.
Strong written communication skills, including documenting risks, controls, and runbooks for varied audiences.
Ability to work independently and collaboratively in a remote, cross-functional environment.
Preferred
Experience with Microsoft security tools such as Microsoft Defender and Microsoft Purview.
Experience securing AI agents and integrations, such as MCP servers, connectors, or AI APIs.
Familiarity with admin, audit, and compliance features of Microsoft 365 Copilot, ChatGPT EDU, or Box AI.
Familiarity with AI risk frameworks such as the NIST AI RMF or the OWASP Top 10 for