Build, discover, and monetize AI agents.

Tigera launches Lynx, a unified control plane for Kubernetes-native AI agents

What changed: Tigera announced Lynx, a control plane that discovers, gives cryptographic identities, enforces default‑deny policies, and audits AI agents running in Kubernetes — with eBPF/LSM-based behavior detection and without requiring agent code changes.

Why it matters: Platforms that let agents call other agents, LLMs, and tools break assumptions in traditional security stacks; Lynx gives platform, security, and compliance teams a single place to catalogue agents, enforce per‑hop credentials, and quarantine misbehaving agents so you can run agentic workflows in production with stronger auditability.

Try/watch: If you run Kubernetes at scale, add agent discovery and short‑lived credential patterns to your onboarding checklist and pilot Lynx (or equivalent) on a low‑risk namespace to validate policy enforcement and observability before widening deployment.

Dialpad makes conversation intelligence queryable inside Google Workspace and Gemini Enterprise

What changed: Dialpad announced an integration that ingests Dialpad transcripts and conversation intelligence into Google Gemini Enterprise and makes those signals queryable inside Gmail, Docs, and Chat so teams can ask natural‑language prompts about customer interactions.

Why it matters: Operators and buyers in sales or support can turn ephemeral call and chat data into immediate context for meetings, risk scoring, and post‑call actions without manual CRM updates, which speeds follow‑up and reduces information loss — but it also raises governance questions about what conversational data agents can access.

Try/watch: Test the integration with a small pilot that scopes which conversation types (e.g., sales vs. support) are searchable, verify redaction and retention settings, and map the integration to your least‑privilege access rules so agents and users only see what they need.