AI Security Analyst building the security layer for AI agents, LLM applications, and multi-agent systems.
- AI red-teaming — LLM vulnerability assessment, probe development
- MCP / agentic security — Model Context Protocol scanning, tool-use safety
- LLM guardrails — content safety policy enforcement
- DevSecOps — SAST rules, supply-chain and dependency security
| Repository | Work | Status |
|---|---|---|
| SyedAnas01/mcp-safeguard #8 | Credential detection rules (CRED-027, CRED-028) | Merged |
| NVIDIA/garak #1974 | AART probe for AI-assisted red-teaming | Open |
| BerriAI/litellm #42993 | Lakera guardrail blocking fix | Open |
| semgrep/semgrep #11964 | Pro-only operator error labeling | Open |
| protectai/modelscan #375 | Compressed joblib scanner bypass fix | Open |
| GitGuardian/ggshield #1562 | Local hook directory anchoring | Open |
| guardrails-ai/guardrails #1666 | Hub auth token expiry hardening | Open |
| trailofbits/mcp-context-protector #56 | Typed exception hierarchy | Open |
Languages: Python, TypeScript, SQL Security: Garak, Semgrep, Bandit, OWASP Top 10 for LLM & Agentic AI AI/Infra: LangChain, FastAPI, Docker, GitHub Actions, CI/CD
Open to collaboration on AI security tooling, MCP security research, and multi-agent system hardening.

