Teleport has unveiled the Teleport Agentic Identity Framework, an AI-focused framework designed to support organisations in deploying agentic AI across cloud and on-premises environments. The framework emphasises security and identity, providing a structured approach to operating autonomous AI while reducing risks of data misuse and external threats.
The framework addresses a challenge faced by many enterprises: the rapid deployment of AI agents, which can complicate the secure management of these dynamic, non-deterministic systems.
Designed to close this security gap, the Agentic Identity Framework provides a roadmap for organisations to integrate AI while maintaining security and compliance.
Identity Management and Agentic AI
Agentic AI introduces new operational challenges, as systems act with autonomy, dynamically accessing data and executing tasks. Traditional security and identity frameworks are not designed to manage these types of operations at scale.
A survey conducted by Teleport of more than 200 infrastructure leaders found that 69% expect significant changes to identity management due to AI. These results indicate that conventional identity solutions may be insufficient for large-scale AI deployments.
Current approaches, relying on static credentials or fragmented identity management systems, can create systemic risks, particularly as AI deployments expand.
Teleport's Unified Identity Platform
The framework introduces a unified identity layer, secured through cryptographic methods and a hardware root of trust. This layer supports zero-trust authentication and provides real-time visibility into identity operations. By replacing static credentials with ephemeral identities, it aims to prevent unauthorised access and mitigate identity-related threats.
Framework Relevance
Many solutions focus narrowly on AI safety or runtime monitoring, without addressing trust at the identity level. The Teleport Agentic Identity Framework positions identity as a central security control for agentic AI in enterprise environments.
Frank Dickson of IDC noted that identity, rather than monitoring alone, is a key control for securing AI systems, particularly at scale.
The framework:
- Treats AI agents as identities with cryptographic protection and auditing.
- Supports open standards to reduce vendor dependency and enable future scalability.
- Provides consistent identity governance across AI agents, tools, and infrastructure.
As AI deployments increase, unified identity management becomes essential. The framework addresses identity fragmentation, enhancing operational reliability and security, and establishing identity as the foundation for trusted AI integration.
