AI Penetration Testing

AI Penetration Testing extends traditional security pen testing to AI-specific attack surfaces. While AI red teaming focuses broadly on undesirable behavior including bias and safety, AI pen testing focuses specifically on security vulnerabilities — prompt injection, model extraction, training-data inference, model inversion, data poisoning, evasion attacks, and supply-chain compromises. Frameworks guiding the practice include MITRE ATLAS (an adversarial-threat taxonomy for AI), OWASP Top 10 for LLMs, and the NIST AI 100-2 publication on adversarial machine learning. Specialist firms including HiddenLayer, Lakera, Trail of Bits, and the major Big Four advisories offer AI pen-testing services. Major regulators (SEC, OCC, FTC) increasingly expect AI pen testing for high-stakes systems. AI governance, AI compliance, and AI risk management programs at security-conscious enterprises integrate AI pen testing into their broader application security programs — supporting responsible AI deployment through rigorous, structured security evaluation across every production AI system at scale.

Centralpoint Strengthens Your AI Security Posture: Oxcyon's Centralpoint AI Governance Platform keeps prompts and skills on-premise — eliminating entire categories of vendor-side attack surface. Model-agnostic across OpenAI, Gemini, Llama, and embedded options, Centralpoint meters consumption and embeds hardened chatbots into your portals via one JavaScript line.


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