Work / AEGISMITULBHATIA.DEV
Multi-Agent AI Security & Guardrail Engine
AEGIS
An autonomous seven-agent security pipeline that detects, exploits, patches, and validates software vulnerabilities. It combines Semgrep static analysis, AST policy evaluation, prompt-injection guardrails, and isolated Docker execution.
Documented outcomes
- Guardrail latency
- <24ms
- Injection recall
- 99.8%
- Cooperating agents
- 7
How the system moves
AEGIS Architecture Pipeline5 Discrete Stages // Inspectable
- Stage 01
Payload Ingest
- Stage 02
Semgrep AST Scan
- Stage 03
Memory Isolation
- Stage 04
Threat Evaluator
- Stage 05
Sanitized Output
Stack
- FastAPI
- Python
- LangChain
- Semgrep
- React
- Next.js
- Docker
Engineering note
The project separates detection, exploitation, patching, and validation into explicit roles so the security workflow stays inspectable from end to end.