AI Agents Demand Boring Infrastructure: Security and Control Planes Get a Refresh

Enterprises are racing to secure a new class of workload: AI agents that act autonomously. On June 17, 2026, three vendors announced products aimed at taming this chaos. Tigera launched Lynx, a unified control plane for Kubernetes-native AI agents. Everpure extended its data and control planes for agentic AI. Corelight expanded its Open NDR platform to detect AI-driven threats and unknown assets.

The urgency is clear. A new report from Infosecurity Magazine found that employee attempts to upload sensitive data to AI models have jumped 93% in the past year. That surge, combined with the rise of autonomous agents, is forcing security teams to rethink their approach.

Control Planes for Autonomous Agents

Tigera Lynx gives enterprises a single place to discover every AI agent in their Kubernetes estate. It assigns each agent a cryptographic identity, enforces policy on every action, and audits activity without requiring changes to agent code. The product also supports sandboxing and anomaly detection. Everpure, meanwhile, extended its data and control planes to handle the unique demands of agentic AI, focusing on policy enforcement and data governance across agent workflows.

• Tigera Lynx provides cryptographic identity for each agent, enabling zero-trust policies.
• Everpure’s extended planes manage data access and control for autonomous agent actions.
• Corelight’s Open NDR now includes passive asset classification and network performance monitoring.
• Corelight’s platform uses the Zeek analysis engine to detect AI-powered threats that exploit vulnerabilities faster than patching cycles.

Why Boring Infrastructure Matters

“Agents need boring infrastructure around them,” said a representative from Tailscale in a recent interview with The New Stack. The sentiment reflects a broader industry realization: AI agents are unpredictable, and the infrastructure that supports them must be stable, secure, and invisible. Without proper control planes, agents can access sensitive data, execute unauthorized actions, or become vectors for attack.

Corelight’s expansion addresses the threat from AI-powered attacks that can discover and weaponize vulnerabilities faster than traditional patching. The company’s passive asset classification helps security teams identify unknown devices and workloads, closing visibility gaps that agents might exploit.

What comes next is a consolidation of these tools into broader security frameworks. Enterprises will likely demand that control planes like Lynx integrate with existing SIEM and SOAR systems. The vendors are betting that the market for agent security will grow as fast as the agents themselves. For now, the message is clear: AI agents need boring, reliable infrastructure, and the industry is finally building it.