Lynx
Unified control plane for AI agent discovery, identity, authorization, and runtime enforcement for every agent in your organization running on Kubernetes.
Picari insights
Security and platform engineering teams running autonomous AI agents and LLM workloads on Kubernetes that require identity-based policy enforcement and deep runtime visibility.
- Kubernetes-native AI agent runtime governance
- eBPF-powered agent observability and network policy enforcement
- Cryptographic workload identity for autonomous agents via SPIFFE/SPIRE
- Organizations running AI agents exclusively on serverless or non-Kubernetes architectures
- Teams seeking prompt injection defense or application-level guardrails rather than infrastructure security
- Shallow deployments using third-party, fully managed SaaS AI agents without underlying cluster access
Ask about pricing, alternatives, or if Lynx is right for you.
- Personalized fit analysis
- See relevant alternatives
- Run an evaluation when you're ready
Core capabilities
Common use cases
AI agent security in Kubernetes
behavioral threat detection
supply chain security for LLM systems
Things to consider
Every product has trade-offs, and which of them matter depends on your environment, your team and your timeline.
Tigera Calico Lynx pricing and integrations
For Tigera Calico Lynx integration and pricing details, ask Picari. Start a briefing with your question, such as whether it connects to your SIEM, identity provider and ticketing stack, or how it is priced at your seat count and data volume.
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Are you from Tigera Calico? Verify this profileProfile last updated on 24 September 2026 by Picari.