Leading the transition to MLSecOps
We're building a safer AI-powered world by empowering a community of AI focused security researchers, finding unique exploits in ML models, and providing tools to reduce risk inherent in AI development. MLSecOps puts security at the heart of AI/ML design, enabling AI developers and ML engineers to continue rapidly innovating while protecting against unique ML vulnerabilities.
"We saw a gap between an enterprise’s AI and cybersecurity organizations. Protect AI will be the catalyst to collapse the silos between those teams to help them build safer, more secure AI systems to dramatically reduce enterprise risk."
— Badar Ahmed, Co-founder and CTO
Running some of the largest AI businesses in the world gave us a unique view into the needs from thousands of customers in how to successfully scale AI applications. As we watched more ML models be deployed into production, we saw a need to give AI builders a solution that would help make their environments more secure and tailored to unique aspects of ML code. Protect AI bridges the needs of cybersecurity and AI teams by helping them build the next stage of scaled, secure AI through the adoption of MLSecOps.
CEO and Founder
Daryan (D) Dehghanpisheh
President and Founder
CTO and Founder
Head of Marketing
Head of Product
Backed by Industry Leading Capital Investors
Angel Investors & Advisors
CEO, Cato Networks
CEO, Signal Sciences
Former VP of Security at Amazon Web Services
CEO, Big ID