AI安全防护治理专家 - 安全与风控
Core
Identify, analyze, and secure enterprise AI assets (Agents, Copilots, RAG, MCP) by detecting behavioral risks, building detection rules, and managing incident response.
Role type
Senior AI Security Engineer (Governance & Detection)
Builds
AI asset inventory, detection rules for Prompt Injection/Tool Abuse, and incident response workflows.
Domain
AI Security / GenAI Risk Management
Deliverable
production ML models
Required skills
AI asset inventory, behavioral risk analysis, detection rule design, incident response, log analysis, threat modeling
Preferred skills
AI Red Teaming, EDR/XDR engineering, MITRE ATLAS/OWASP LLM Top10 knowledge, detection rule development (Python/Go/KQL)
Technologies
EDR/XDR, SIEM, MCP, RAG, AI Runtime logs
Responsibilities
Build AI scenario detection rules covering unauthorized use and prompt injection; Establish AI security alerting and response workflows; Analyze AI Agent behavior for sensitive data access and tool abuse; Drive observability for AI runtime logs.
Seniority
Senior, hands-on IC
