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Follow Akeyless: Identity Security for Machines, AI Agents & Humans | Akeyless

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Artificial Intelligence is changing enterprise security faster than any technology before it. AI agents no longer just answer questions, they access databases, invoke APIs, update records, and make decisions across production environments.

Traditional Identity and Access Management (IAM) was designed for humans who authenticate once and perform predictable actions. ...


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Why AI Agents Need Runtime Authorization

AI agents across Claude, Chat, Cowork, and Claude Code are increasingly being given direct access to production databases, cloud services, and SaaS APIs, often by pasting long-lived credentials into MCP configuration files. But standing credentials are only part of the problem. Even properly authenticated agents can take unintended ...


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OpenAI Codex can plan, write, test, and run code on a developer’s behalf. While that makes it highly useful, it also means Codex often needs access to the databases, APIs, cloud services, Kubernetes clusters, GitHub workflows, and deployment pipelines that developers use. That creat...


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The Security Problem We Keep Solving the Wrong Way

Most security teams know static credentials are dangerous. Developers know API keys should not be hardcoded. Cloud architects understand the risks of long-lived service accounts. Security leaders have invested heavily in vaults, secret scanners, rotation tools, PAM platforms, and governance programs designed to reduce cred...


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Summary

Meeting cybersecurity requirements isn't about checking compliance boxes. It's about protecting your organization against the security risks those regulations are designed to address. From DORA and NIS2 to GDPR, the EU Cyber Resilience Act, PCI DSS, and ISO 27001, organizations are expected to secure identities, secrets, cryptographic assets, and privileged access ...


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