LYNX

AI Agent Security for Kubernetes

Your AI agents are making decisions. Do you know what they're authorized to do?

The unified control plane for AI agent discovery, identity, authorization, and runtime enforcement for every agent in your organization running on Kubernetes. Guardrails, not gates.

Request Early Access Read Our Whitepaper

Unified control across teams

For AI & Platform Engineering Teams

• Deploy agents faster with comprehensive observability
• Runtime enforcement without blocking workflows
• Identity and authentication for every agent

For Security Leaders

• Complete visibility into every agent; shadow agents too
• Zero-trust authorization enforced before every action
• Full audit trail for compliance and incident response

Problem

AI agents are proliferating faster than your ability to control them.

Enterprises are rapidly deploying AI agents to automate workflows and accelerate decision-making in Kubernetes environments. This introduces three security and operational challenges:

Visibility Gap

Most organizations cannot discover all the agents running in their environment, including shadow agents deployed by individual teams. You can't govern what you can't see.

Autonomous Behavior

Unlike traditional microservices, AI agents autonomously decide which tools to call, which data to access, and which agents to collaborate with. Static, perimeter-based security wasn't designed for this.

Non-Determinism

AI agents don't follow predictable execution paths. Every interaction is a potential security and governance event, and traditional security tools built for deterministic services cannot provide the visibility or control required.

Solution

Guardrails, not gates. Security and governance that enables your AI teams to move fast, safely.

Lynx is a cloud-native enforcement layer purpose-built for autonomous agents. It sits in the middle of all agentic traffic across Kubernetes clusters to discover, authenticate, authorize, and observe every agent action in real time.

Every agent is known. Every identity is verified.

Every action is authorized before it happens. Every interaction is traceable.

Capabilities

Everything you need to govern AI agents at enterprise scale.

Universal Discovery & RegistryKnow every agent, registered and shadow alike

Agent Identity & AuthenticationCryptographic agent identity that eliminates shared secrets

Authorization & Access ControlZero-trust authorization before every agent action

Runtime Policy EnforcementReal-time enforcement, centrally managed, consistently applied

Observability & AuditComplete visibility, audit lineage, and compliance-ready telemetry

Central Registry

A structured directory for your agentic workforce that catalogues owner, purpose, version, and context for every agent running on Kubernetes, with full lifecycle management APIs

Auto-Discovery of All Agents

Automatically discovers registered and shadow agents using heuristics and eBPF — no manual inventory required

Full Lifecycle Management

Tracks agents from deployment through decommission with version history and ownership attribution

Cryptographic Identity

Uses SPIFFE/SPIRE or your existing identity provider to issue verifiable, short-lived cryptographic identities (SVIDs) to every agent

No Shared Secrets

Eliminates long-lived API keys with automatically rotated tokens (TTL ~10 minutes), significantly reducing attack surface

Chain of Custody

Tracks "On-Behalf-Of" delegation chains — always know whether an agent is acting autonomously or on behalf of a human user

IDP Integration

Works with Microsoft Entra ID and existing identity providers — no rip-and-replace required

Tool Binding

Restrict which MCP servers or tools an agent can access at the individual tool level

Fine-Grained Access Control

Define permissions using multiple attributes: agent identity, service, namespace, data class, operation type, time of day, and more

Default Deny Model

Every agent interaction starts from denial. Agents act only on explicit authorization — never implicit trust

Contextual Authorization

"Agent A can read CRM data but cannot export it. Agent B can read CRM data for users in the EMEA region during business hours only"

Real-Time Enforcement

Policy evaluated and enforced before every data access, tool call, or service invocation — automatically, without human intervention

Break Glass Controls

Immediately revoke or quarantine a rogue agent; instant response without waiting for a manual process

Centralized Administration

Policies defined centrally and enforced consistently across every environment where agents run

Distributed Enforcement Points

Deploy AI agents on Kubernetes clusters across on-premises, cloud, and edge under a unified control plane

CI/CD Integration

Register agents and define policies as part of your existing pipeline — security and enforcement built in from the start

Service Graph

Real-time visual map of agent-to-agent and agent-to-tool interactions. Surface dependencies and anomalous behavior before they become incidents.

Audit Lineage

Full trace of Agent → Decision → Tool → Data for compliance reporting, operational debugging, and forensic investigation.

OpenTelemetry Standard

Exports telemetry in OTEL format. Compatible with your existing observability stack.

Seamless Integration

Native integrations with Datadog, Splunk, and Prometheus.

Compliance Framework Support

Designed to support SOC 2, ISO 27001, NIST AI RMF, and GDPR requirements, with audit trails and policy enforcement records that map directly to regulatory reporting needs.

DEPLOYMENT

One security and governance standard.

Lynx meets you where your agents are.

Self-hosted

Lynx is a Kubernetes-native gateway deployed in your cluster, sitting in the middle of all agentic traffic and enforcing policy at runtime. Control and data plane fully managed by you.

Ideal for: Kubernetes-native agent deployments requiring full control over data residency.

Why TIGERA?

Proven Policy Foundation

The enforcement engine behind Lynx secures 8M+ Kubernetes nodes daily. Enterprise-proven at the most demanding scale.

Purpose-Built for Agents

Not IAM stretched to cover agents. Not CASB repurposed for a new problem. Built from the ground up for autonomous, non-deterministic, distributed AI agents.

Guardrails, Not Gates

Real-time enforcement that enables AI & Platform Engineering teams to move fast — not a bureaucratic control layer that creates bottlenecks and drives workarounds.

Enterprise Expertise

A decade alongside NVIDIA, RBC, Bloomberg, and many more. That accumulated knowledge ships with every product we build.

AI agents are already making decisions in your organization. Are they authorized to?

Lynx gives security, AI, and platform engineering teams the visibility, authorization, and enforcement controls to safely deploy AI agents, anywhere in your Kubernetes environment, at enterprise scale.