Tigera's Lynx gateway can route Claude Code model traffic by setting the ANTHROPIC_BASE_URL environment variable to the gateway's /llm/anthropic endpoint, giving platform teams visibility into which c…
A new beginner's guide from Tigera walks engineers through deploying an AI agent on Kubernetes, covering containerization, secret management, health probes, resource limits, and network egress control…
A developer from Tigera built a minimal AI agent in under 70 lines of Python using Ollama and the OpenAI API, demonstrating that an agent is essentially a language model, a set of functions, and a whi…
Tigera introduced Mylo, an AI-native expert for Calico delivered through the Calico MCP Server, which enables AI agents to troubleshoot Kubernetes networking issues by tracing paths and identifying bl…
A Tigera analysis argues that AI agents should run on Kubernetes clusters controlled by the organization, because a year of incidents shows every failure was environmental. SailPoint's May 2025 survey…
Tigera's Calico Enterprise platform now supports VMs and containers on Kubernetes with a unified networking and security model, enabling enterprises to migrate VMs to Kubernetes without renumbering IP…
Tigera announced the general availability of Lynx, a unified control plane for Kubernetes-native AI agents. Lynx provides enterprises with a single platform to discover, secure, and audit AI agents ac…
ArmorCode, Barracuda Networks, Blue Planet, Flip, Fortinet, Legit Security, Tigera, and WitnessAI released new infosec products this week. Fortinet launched FortiSOC, a unified cloud-delivered SOC pla…
Tigera announced the general availability of Tigera Lynx, a unified control plane for Kubernetes-native AI agents that provides security, identity, and policy enforcement without code changes. The pla…
Tigera announced Lynx, a unified control plane for Kubernetes-native AI agents, to address security challenges posed by autonomous, non-deterministic AI agents. Lynx authenticates, authorizes, mediate…
A Tigera blog post outlines five architectural principles for evaluating AI agent governance platforms: default-deny, attribute-based policy, zero-trust identity, audit by design, and Kubernetes-nativ…
Tigera has introduced a multi-layer policy framework for securing AI agents, requiring policy enforcement at both the gateway and kernel layers rather than a single point. The gateway layer enforces a…
Enterprises relying on network policies, API gateways, and role-based access control (RBAC) for AI agent accountability face critical gaps, as these tools were designed for deterministic, human-driven…
A McKinsey study found that only one-third of organizations have AI agent governance maturity at level 3 or higher, leaving most companies unable to answer basic accountability questions about their d…
Enterprises are deploying AI agents across marketing, engineering, customer support, and finance functions, but governance frameworks have not kept pace, creating an accountability gap. According to a…