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Multi-Agent Adversarial Security Review Tool
PyPI package with GitHub Actions integration. Uses 3 AI agents in parallel blind review with an adversarial debate engine for comprehensive code security analysis.
Agentic Pentesting Orchestrator
Meta-agent pentesting orchestrator with headless browser automation, confidence scoring, and 73% accuracy on XBOW benchmarks.
AI-Native Multi-Agent AppSec Scanner
Architecture-aware security scanner combining SAST and DAST agents with support for 11+ programming languages.
Retrieval-Augmented Security Analysis Agent
Python vulnerability analysis agent integrating static analyzers (Bandit, Semgrep) with a RAG layer to produce vulnerability reports and remediation guidelines without model fine-tuning, improving detection accuracy by 35%.
LLM Red-Teaming Framework
Contributed BadCharacters probe using differential evolution and Levenshtein distance optimization for adversarial LLM testing.