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Follow Akeyless: Identity Security for Machines, AI Agents & Humans | Akeyless
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Enterprises are juggling more identities than ever, human users, applications, DevOps pipelines, containers, AI agents, and machines. Each of these identities needs secure access to secrets, credentials, and keys, yet most security stacks rely on a patchwork of tools to handle them...
The security conversation around AI agents often focuses on what the models can do. Far less attention has been paid to how those agents are being connected to enterprise systems, what they can access once deployed, and whether organizations can actually govern that access over time.
Earlier this year,
Applications, containers, CI/CD pipelines, cloud services, and AI agents depend on massive numbers of credentials to operate. Gartner warns that static secrets, fragmented tooling, and legac...
June 18th | 12pm ET / 4pm GMT
See how security teams can automate certificate issuance, renewal, rota...
AI agents are changing enterprise security assumptions faster than traditional identity architectures can adapt. Many vendors are responding by extending workforce identity models to AI agents: discover every agent, register it in a directory, assign permissions, and govern access through OAuth scopes and lifecycle controls.
The problem is that AI agents do not beha...