Teleport Launches Beams — Trusted Agent Runtimes For Infrastructure
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Agentic AI

Contain and control your
AI infrastructure.

GPU clouds. Kubernetes clusters. Model registries. Agentic workflows. Teleport gives every user, machine, and agent a cryptographic identity and governed access path so you can build and scale with full control. 
 

WHY UNCONTROLLED AI IS AN IDENTITY CRISIS

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AI without identity is
infrastructure without locks.

Most organizations are already deploying AI agents in production, but without a way to govern them. Static secrets, shared service accounts, and legacy IAM were never designed for autonomous, always-on, non-deterministic systems.

Traditional Access Models

Teleport treats every actor — engineers, machines, LLM tools, AI agents, MCP servers, and digital twins — as a first-class identity. The same cryptographic identity model. The same access controls. The same audit trail. No secrets, API keys, or over privileged accounts.

When agents impersonate users, share API keys, and operate without audit trails, you don't have AI infrastructure. You have uncontrolled automation with broad access to your most sensitive systems.
 

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OUTCOMES

Gain visibility and control

Contain and Control AI

100%

auditable agentic workflow for every prompt, query, and tool call

0

anonymous AI actors in your infrastructure

Reduce Incident Risk

4.5×

fewer security incidents when agents are least privileged vs. over-privileged

0

standing privileges for any AI agent or MCP tool

Accelerate Engineers

80%

drop in time spent troubleshooting infrastructure access issues

0

time wrangling IAM, secrets, or access paths for new AI workloads

Identity and Access Control

Zero trust controls for every AI workload.

Teleport provides identity-first access, governance, security, and model protection for AI infrastructure — purpose-built for the extreme resiliency, automation, and scale requirements of modern AI workloads.

  • Zero trust access to GPU clusters, Kubernetes environments, databases, and cloud consoles

  • JIT elevation for destructive or privileged actions against model registries, S3, MLFlow, HuggingFace-compatible registries

  • Session recording and interactive session controls for prompt engineering, model training, and agentic AI access

  • Identity-based, policy-driven access unifying humans, machines, workloads, and AI — no static credentials, no standing access

Model Protection

Lock down your valuable models. 

Proprietary models are among a company's most sensitive assets. Teleport protects models with identity-first access and governance — from training data to inference endpoints — without inspecting the model artifacts themselves.

  • Implement JIT elevation for destructive or privileged actions to MLFlow, S3, GCS, HuggingFace-compatible registries

  • Embed policy and auditing on access events to databases and cloud services with training data and feature stores

  • Detect anomalous access and behavior patterns to models with Identity chain mapping across infra, cloud, CI, and agents

  • Compress forensic investigation with AI-generated incident narratives — know what happened, who did it, and what to check next

Agentic Identity Framework

Leverage the Agentic Identity Framework.

The Teleport Agentic Identity Framework is a standards-driven set of designs, SDKs, and reference implementations that gives organizations a clear roadmap for deploying agentic AI securely.

  • Establish strong identity with no shared secrets for each agent

  • Preserve authorization workflows when agents operate as a delegate on behalf of principals

  • Enforce least-privileged access to services, databases, and infrastructure

  • Govern agents and MCP endpoints with an audit log for every prompt, query, and tool call 

Teleport Beams — Trusted ephemeral Runtimes for infrastructure agents

Run agents securely against real infrastructure.
Isolated. Ephemeral. Connected.

Beams removes the complexity of launching agents — no more stitching together IAM, infrastructure, and secrets by hand. Each agent runs in an isolated VM with delegated identity already connected to your infrastructure and inference endpoints. Fast startup. Zero credentials or keys. Full audit trails. 

Beta launching April 30

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Secure AI infrastructure at scale

Teleport is the identity platform of choice for AI leaders, from hyperscalers to startups. 

Teleport delivers the identity substrate for AI infrastructure and workloads, and operates at the pace and scale to protect high-velocity environments with massive automation footprints.

AI ecosystem integrations
  • GPU clusters (on-prem, cloud)

  • Kubernetes, Ray, Airflow, Flyte, Sagemaker

  • Feature stores and model registries

  • CI/CD and MLOps pipelines

  • MCP tooling ecosystems

  • AI agent frameworks

  • Sagemaker

Built for AI scale
  • Tens of thousands of identities

  • Multi-cloud GPU operations

  • High-throughput certificate issuance

  • Zero-static-secret operation

  • Identity-level resiliency

  • Near-zero overhead on workloads

  • Low latency

Hardcore resiliency
  • Identity and access for agentic AI, MCP, and digital twins

  • Model, data, and pipeline protection

  • AI inside the product: summaries, governance assist, anomaly surfacing

  • Unified identity across humans, machines, workloads, and agents

  • Zero-trust access across all AI infrastructure resources

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Teleport is a leading innovator in identity-based security for managing infrastructure, cloud, and AI access, offering a unified platform for human and machine users and an Agentic Identity Framework for securing AI agents. Teleport's real-time 'chain of custody' offers a unique opinionated approach to identity security that helps customers navigate AI adoption complexities.

Scott Raynovich

Founder & Principal Analyst, Futuriom

Frequently Asked Questions

Teleport applies Zero Trust Access controls to the infrastructure that runs AI workloads to ensure all connections use strong identity and policy, including SSH nodes, Kubernetes clusters, databases, and MCP servers.

Yes; Teleport protects model infrastructure by governing and auditing access to the databases, storage systems, and MCP servers that serve those models, not by inspecting the model artifacts themselves.

Yes; Teleport secures training data and feature stores by enforcing identity-based access and logging on the databases and cloud services that hold your data, enabling visualization of and alerting on risky access patterns.

Teleport treats AI agents as distinct identities, issuing short-lived credentials and governing them using the same policy and access control framework used to govern human and machine identities.

Beams provisions an isolated Firecracker VM on EKS, injects a short-lived identity certificate, and opens a VNet tunnel before the agent executes its first line, providing hardware-level isolation rather than container-level.

Teleport secures MCP server access by proxying MCP connections between the client and the MCP server via the Application Service, applying RBAC such as tool filtering, and logging all MCP protocol requests as audit events while supporting stdio, SSE, and streamable-HTTP transports.

Teleport continuously analyzes identity behavior across infrastructure to detect privilege escalation, lateral movement, and other high-risk behaviors, correlating and alerting on more than 50 identity vulnerability types. These detections occur at the identity and access layer rather than the model or data layer.

Teleport Machine & Workload Identity leverages Teleport's token resource, supporting both single-use ephemeral tokens and dynamic join methods that use platform-signed identity documents. This includes identities from AWS, GCP, Azure, Kubernetes, GitHub Actions, GitLab CI, and other providers.

The Teleport Agentic Identity Framework is an evolving architecture framework which includes MCP access proxying, MCP server discovery, LLM controls including rate limiting, budgeting, model routing, and prompt/response tracking, along with audit trails and behavior analysis for agent actions.

Teleport provides granular role-based access control (RBAC) for MCP. Role resource includes an mcp.tools field, where each entry can be a literal string, a glob pattern, or a regular expression.