For Security & AI Teams
The platform for AI agent discovery, identity, authorization, and runtime enforcement for every agent in your organization, wherever they run. Guardrails, not gates.
Complete visibility into every agent, shadow agents too
Deploy agents faster with built-in governance
Enterprises are rapidly deploying AI agents to automate workflows and accelerate decision-making. But agents don’t stay neatly inside your infrastructure — they run across hybrid cloud environments, multiple toolchains, and local machines. The result is agent sprawl, introducing three governance challenges that current security models cannot address:
Agents reach for any tool, LLM, or agent and read untrusted input
What you need: One place that says what each agent can do. Policy-driven, applied at every call.
A valid credential does not guarantee good behavior
What you need: Detect anomalies: quarantine the ones going wrong.
Every action is a delegation chain: User->agent->agent->Tool.
What you need: JWT Tokens scoped, time-bound, carrying the chain.
Blast radius moves as new agents and tools come online
What you need: Test the posture; sandbox new agents on the way in
TAG is a cloud-native enforcement layer purpose-built for autonomous agents. It sits in the middle of all agentic traffic 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.
Know every agent before they do something they shouldn't.
A structured directory for your agentic workforce that catalogues owner, purpose, version, and context for every agent with full lifecycle management APIs
Automatically discovers shadow agents using heuristics and eBPF — no manual inventory required
Identifies agents operating outside official registration before they become incidents
Tracks agents from deployment through decommission with version history and ownership attribution
Every agent needs a verified identity. Not a shared API key.
Uses SPIFFE/SPIRE or your existing identity provider to issue verifiable, short-lived cryptographic identities (SVIDs) to every agent
Eliminates long-lived API keys with automatically rotated tokens (TTL ~10 minutes), significantly reducing attack surface
Tracks "On-Behalf-Of" delegation chains — always know whether an agent is acting autonomously or on behalf of a human user
Works with Microsoft Entra ID and existing identity providers — no rip-and-replace required
Fine-grained authorization for every agent interaction before it happens.
Restrict which MCP servers or tools an agent can access at the individual tool level
Define permissions using multiple attributes: agent identity, service, namespace, data class, operation type, time of day, and more
Every agent interaction starts from denial. Agents act only on explicit authorization — never implicit trust
"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"
Guardrails, not gates. Enforcement that doesn't slow your AI teams down.
Policy evaluated and enforced before every data access, tool call, or service invocation — automatically, without human intervention
Immediately revoke or quarantine a rogue agent; instant response without waiting for a manual process
Policies defined centrally and enforced consistently across every environment where agents run
Deploy across on-premises, cloud, and edge under a unified control plane
Register agents and define policies as part of your existing pipeline — governance built in from the start
See everything. Trace every action. Prove it to the auditor.
Real-time visual map of agent-to-agent and agent-to-tool interactions. Surface dependencies and anomalous behavior before they become incidents
Full trace of Agent → Decision → Tool → Data for compliance reporting, operational debugging, and forensic investigation
Exports telemetry in OTEL format. Compatible with your existing observability stack
Native integrations with Datadog, Splunk, and Prometheus
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
TAG meets you where your agents are.
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.
A SaaS solution to provide governance and observability for agents, no matter where they are running.
We’ve spent a decade enforcing policy for cloud-native workloads at the world’s most demanding organizations — 8 million+ nodes, 1 million+ clusters. The same enforcement rigor and policy framework powering Calico Platform is now available for AI agents.
The enforcement engine behind Tigera Agent Governance secures 8M+ Kubernetes nodes daily. Enterprise-proven at the most demanding scale.
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.
Real-time enforcement that enables AI teams to move fast — not a bureaucratic control layer that creates bottlenecks and drives workarounds.
A decade alongside NVIDIA, RBC, Bloomberg, Discover, and many more. That accumulated knowledge ships with every product we build.
Tigera Agent Governance gives security and AI teams the visibility, authorization, and governance controls to deploy AI agents safely, anywhere in your organization, at enterprise scale.
