AI
AI
AI
Artificial intelligence infrastructure identity company Teleport today announced the launch of the Teleport Agentic Identity Framework, an AI-centered framework that provides organizations with a clear roadmap for securely deploying agentic AI in production cloud and on-premises environments.
The framework provides a roadmap for treating AI agents as trusted identities within production infrastructure. It’s aimed at addressing growing security and compliance risks as organizations push agentic AI into real-world operations.
The issue the framework seeks to address is one whereby as enterprises move AI agents rapidly to production, security and infrastructure leaders face a growing gap in securing these autonomous, always-on and non-deterministic systems. The Agentic Identity Framework is designed to close that gap by providing a roadmap that allows organizations to unlock AI in production without introducing unacceptable security, compliance or data-exposure risk.
Teleport argues that traditional identity and access management models are fundamentally unsuited to agentic AI. According to a Teleport survey of more than 200 infrastructure leaders, 69% believe widespread AI adoption will require significant changes to identity management, highlighting a broad industry recognition that existing approaches are insufficient.
Added to the mix is that many organizations still rely on static credentials and ad hoc configurations layered over legacy identity and access management and privileged access management systems, which create fragmentation, secrets sprawl and increased exposure to identity-based attacks.
Teleport’s approach centers on establishing a unified, cryptographically secured identity layer for AI agents, backed by a hardware root of trust and built around zero-trust principles.
The Teleport Agentic Identity Framework elevates identity as the foundation of trust for agentic systems and provides technology leaders with a coherent, opinionated roadmap for AI security that includes cryptographic identity, ephemeral privileges, access guardrails, auditability and real-time enforcement.
By serving as an opinionated model for AI implementation, the framework helps organizations accelerate time to value, standardize agent security practices across teams and environments, reduce the risk of data compromise and keep pace with compliance and governance mandates.
The Teleport Agentic Identity Framework also gives organizations a model that treats AI agents as first-class identities secured cryptographically with ephemeral credentials, strong authentication and full auditability. It adopts open standards, unifies identity governance across agents, tools and data and operates reliably at large scale.
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