Enterprise-grade AI security platform for automated LLM red teaming, prompt injection detection, adversarial testing, jailbreak discovery, risk scoring, and mitigation generation for local and hosted language models.

Open-source LLM red teaming framework. Security-test any model (Claude, GPT, Llama) for prompt injection, data leakage, etc. 15 probes, 29 prompt converters, LLM-as-judge grading, adaptive red teaming, static code audit. SARIF + JUnit for CI/CD.

Public sanitized defensive AI lab for threat modeling, Codex-assisted remediation, patch validation, and initial Codex Security evidence with human approval.

A defensive AI reasoning protocol that neutralizes hostile or manipulative outputs through one-point strategic defense.

Defensive AI infrastructure using differential topology to absorb attack variety. Building antifragile security systems.

Adversarial Cognitive Portal Trap Architecture — A multi-layered defensive system that contains, degrades, disrupts, and commandeers autonomous offensive AI agents via a reverse kill chain (L0-L4).

Offensive-to-Defensive AI Regulation Protocol

Provide a Python-native framework to test and audit security in large language models with coverage of key OWASP LLM risks.