Certified Offensive AI Security Professional

Map AI system architectures, enumerate exposed endpoints, and build threat models. Profile training pipelines, data flows, and inference APIs to identify where defenses are weakest using API, Multi-Protocol, and Model Fingerprinting reconnaissance techniques. 

Execute prompt injection, jailbreaking, and cross-LLM attacks to validate AI system weaknesses, alongside Transfer, Boundary, Noise, and Telemetry Analysis to map out AI decision boundaries. 

Document exploitable gaps in production models by performing Fast Gradient Sign Method (FGSM) and Projected Gradient Descent (PGD) attacks on both image classifiers and audio models. 

Simulate advanced post-reconnaissance threats, including Retrieval-Augmented Generation (RAG) Poisoning attacks to corrupt system knowledgebases, and API-driven Model Extraction to steal proprietary logic. 

Implement secure guardrails, algorithmic detection mechanisms, and custom incident response procedures to harden AI pipelines against adversarial threats and ensure resilient, secure enterprise deployments.