AI Security Analyst
About the role
About the Role
We are building an AI Security and Governance capability and need an AI Security Analyst to be the front line for detecting, investigating, and containing risk across every AI tool, agent, and model touching AlphaSense's environment.
You will monitor enterprise AI usage end to end, hunt for unauthorized ("shadow") AI and rogue agent activity, and turn raw AI telemetry into triaged findings the security and governance team can act on. Working alongside the Automation Engineer, Data Analyst, and Director, you will be a primary contributor to the evidence base underpinning our ISO 42001 certification and our broader AI risk posture.
Key Responsibilities
AI Tool Discovery & Shadow AI Monitoring
Continuously monitor CASB/SWG, OAuth, and endpoint telemetry to discover unsanctioned AI tools, browser extensions, and API-level agents in use across the business. Classify findings by risk tier and escalate unauthorized deployments for containment.
Rogue Agent Detection & Investigation
Investigate alerts related to autonomous agents and AI-powered workflows (e.g., anomalous tool chains, unexpected data access, credential misuse) including threats such as OpenClaw and similar agent-based attack patterns. Document findings and drive remediation with the Automation Engineer and Identity teams.
AI Data Exfiltration Detection & DLP
Monitor DLP and AI usage logs for signs of sensitive data leaving the environment through AI tools (prompts, uploads, plugins, MCP connectors). Tune detection rules and validate that AI-specific DLP controls are operating as designed.
Developer AI Tool Governance
Monitor usage of developer-facing AI tools (GitHub Copilot, Claude Code, Codex, and similar) for policy compliance, credential exposure, and non-human identity risk. Partner with Engineering to ensure code-assist and agentic dev tools operate within approved guardrails.
AI Logging, Retention & Audit Support
Monitor DLP and AI usage logs for signs of sensitive data leaving the environment through AI tools (prompts, uploads, plugins, MCP connectors). Tune detection rules and validate that AI-specific DLP controls are operating as designed.