AI Security Analyst
Core
Monitor enterprise AI usage, investigate unauthorized AI applications and agent-based attacks, and enforce security controls to protect data and systems in an AI-driven environment.
Role type
AI Security Analyst (SOC/GRC)
Builds
Security telemetry, detection rules, audit evidence, and governance controls for AI adoption.
Domain
Cybersecurity, AI/LLM security, Governance, Risk, and Compliance (GRC)
Required skills
AI/LLM security risk analysis, SIEM operations, DLP and CASB management, threat detection, non-human identity security, log analysis, scripting (Python/SQL/SPL/KQL), cloud security (AWS/Azure/GCP), incident response, regulatory compliance (ISO 42001/NIST AI RMF)
Preferred skills
MITRE ATLAS/OWASP LLM Top 10 knowledge, agentic AI/MCP architecture experience (LangChain/AutoGen), ML-based anomaly detection, NLP-driven log analysis, security platform expertise (Netskope/Zscaler/Wiz)
Technologies
Splunk, Microsoft Sentinel, Google Chronicle, Netskope, Zscaler, Wiz, Orca Security, Microsoft Purview, Abnormal Security, Bolster AI, LangChain, AutoGen, CrewAI, MCP servers
Responsibilities
Monitor enterprise AI usage across CASB, SWG, OAuth, endpoint, and DLP to identify unauthorized applications; Investigate alerts involving autonomous agents, anomalous tool chains, and credential misuse; Tune and validate AI-specific DLP and detection controls; Collaborate with engineering to establish security guardrails for code-assistance and agentic development tools; Collect and maintain evidence for AI security audits and regulatory readiness; Analyze false-positive/negative trends to improve detection logic.
Seniority
Mid-level, hands-on IC
