NOMINATION HIGHLIGHTS

Akeyless’s AI Agent Identity Security platform solves one of the most urgent and misunderstood problems in cybersecurity today: how to securely scale autonomous AI agents across complex enterprise environments.

As AI agents move from experimentation to production, they are being granted access to sensitive APIs, databases, SaaS platforms, and internal systems. Traditional secrets management and IAM tools were not designed for autonomous, machine-driven workflows. Static credentials, long-lived API keys, and manual rotation simply do not work in a world where agents generate code, interact with LLMs, and operate continuously across clouds. Akeyless changes the model entirely.
Instead of managing secrets, organizations issue ephemeral, policy-bound identities. AI agents never store credentials. They never hardcode keys. Access is granted just-in-time through short-lived OAuth/OIDC tokens, dynamic secrets, or certificates that expire automatically. When the task ends, access disappears.

Critically, Akeyless eliminates the “secret zero” problem. AI agents authenticate using native cloud IAM roles, workload identities, or certificate-based trust, without requiring a bootstrap credential. This removes one of the most common failure points in machine identity security.

Akeyless also federates AI agent identities across hyperscale clouds, SaaS platforms, and on prem systems even legacy infrastructure that does not support modern protocols. Its gateway architecture securely provisions temporary credentials locally, protecting enterprise systems that remain outside cloud-native authentication models. In effect, Akeyless acts as an identity provider for machines and AI agents.
Access is not only ephemeral, but entitlement-bound. Fine-grained policies define exactly what an AI agent can do, such as invoking but not modifying an API, with entitlements embedded directly into temporary identities at issuance time.

Credential issuance is governed by policy checks tied to workload identity, cloud IAM context, and certificate-based trust, ensuring identities are granted only to verified agents.

Security is extended into the development lifecycle through integrations with tools like Cursor, VS Code, GitHub Copilot, and MCP-based workflows, preventing credentials from ever being embedded into prompts or generated code.

Security is reinforced by a zero-knowledge SaaS architecture using Distributed Fragments Cryptography™, ensuring no single system, not even Akeyless, can access customer secrets. With hybrid TLS 1.3 and post-quantum ML-KEM768 support, the platform is built for both today’s threats and tomorrow’s.

The impact is clear: Akeyless enables CISOs and platform teams to accelerate AI adoption without increasing risk. By transforming static secrets into dynamic, federated identities, Akeyless provides the secure foundation enterprises need to confidently scale AI innovation.