Cohesity launches "Maestro" — headless data-protection interface for AI workflows

What changed: Cohesity announced Cohesity Maestro, a Model Context Protocol (MCP) interface that surfaces Cohesity Data Cloud actions (protection, restores, telemetry) and autonomous agents like Cohesity Copilot and RecoveryAgent directly into external AI workflows.

Why it matters: Founders and operators can let their existing AI agents (Claude, ChatGPT, Gemini) query protected data, surface prioritized risks, and trigger guarded recovery actions without switching consoles — which speeds incident response while keeping Cohesity role-based controls and audit trails intact.

Try/watch: Test a read-only MCP integration first: let an agent surface telemetry and suggested remediation, then require human approval before any restore to confirm your RBAC and audit logging work as expected.

Tigera ships "Lynx" — a Kubernetes-native control plane for AI agents

What changed: Tigera announced Lynx, generally available, a control plane that discovers, gives cryptographic identities to, sandboxes, audits, and enforces policy for AI agents running in Kubernetes environments.

Why it matters: If you run agents inside clusters, Lynx promises a single place to inventory agents, auto-detect shadow agents, limit per-agent credentials, and produce reproducible traces for compliance — practical primitives operators need to move agents from experiment to production without exploding risk.

Try/watch: Pilot Lynx in a non-production cluster to validate its discovery and posture scanning; pay attention to false positives in auto-discovery and how policy packs map to your compliance requirements (GDPR, HIPAA, SOC2).