Token Security and Descope, in collaboration with a network of top cybersecurity leaders, have unveiled the AI Security Guide: A Maturity Model for Secure Agentic AI Adoption, aimed at helping enterprises integrate agentic AI securely, responsibly, and at scale while fostering innovation. Drawing insights from CISOs at leading organizations such as Silicon Valley CISO Investments (SVCI), Vercel, Verily Life Sciences, Live Oak Bank, AppLovin, Notable Capital, and Xcel Energy, the guide consolidates best practices for safeguarding AI-driven systems. Highlighting the evolving nature of AI, Itamar Apelblat, Co-Founder and CEO of Token Security, said, “We’re entering a world where AI doesn’t just suggest, it acts. Agentic AI systems are launching code, triggering workflows, making decisions, and creating new identities. As a result, Non-Human Identities will quickly outnumber human identities by more than 100 to one.
Also Read: Wix Unveils Financial Suite to Boost Business Growth
Security must now shift priority to the identities that matter most in this new world.” Addressing the growing concerns of enterprise leaders, Rishi Bhargava, Co-Founder of Descope, explained, “We created this guide because we kept hearing the same question from CISOs and developers; ‘How do I make sure our AI or MCP server doesn’t break things or worse?,’ The answer starts with treating AI agents like first-class actors. Secure authentication, granular authorization, and policy-based governance needs to be baked into every agentic AI deployment. We’re proud to team up with the best minds in the industry to offer a roadmap to ensuring secure AI and MCP deployments.” The AI Security Guide introduces a four-phase maturity model designed to manage the risks of AI autonomy, starting from early-stage shadow AI experimentation to the secure deployment of autonomous agents operating in critical environments. It places strong emphasis on Identity and Access Management (IAM) for Non-Human Identities, implementing policy-driven controls, and maintaining continuous governance over both in-house and third-party AI solutions—ensuring enterprises are equipped to handle the security challenges posed by the rapid evolution of agentic AI.