MLSecOps

AI algorithms are vulnerable by design.

Companies are catastrophically unprepared to defend their products from cyber threats.

AI is growing exponentially even though models are fundamentally vulnerable. Ignoring AI security risks jeopardizes the security of companies, the safety of people, and the trust in AI in general.

This work has introduced MLSecOps, a DevSecOps for AI, for implementing a secure AI development lifecycle. This framework is relevant for engineers and leaders in AI product security, AI risk management, and AI product development.

Eugene Neelou, AI Security Researcher, Co-Founder & CTO at Adversa AI