OffSec Launches OSAI Certification to Combat AI Security Risks

The curriculum shifts the focus from automated scanning to human-led adversarial judgment. According to OffSec CEO Ning Wang, the program targets the critical need for professionals who can identify logic flaws in Large Language Models and complex orchestration frameworks—vulnerabilities that standard scanners frequently miss. The course builds on the company's legacy of rigorous, hands-on training, drawing from the same technical pedigree as the industry-standard OSCP certification.

Participants navigate enterprise-style architectures, including multi-agent workflows, RAG pipelines, and vector databases. The training environment forces students to operate from an attacker’s perspective, simulating real-world compromises within cloud-integrated AI ecosystems. The program is tailored for experienced penetration testers, red teamers, and security engineers aiming to bridge the gap between legacy IT security and modern machine learning defenses.