Production agents, built with you and governed from day one. Waxell's team designs, builds, and ships agents on the platform — threat-mapped to OWASP, ROI-tracked from the first phase, with active support through launch instead of disappearing at handoff.

The security architecture agentic AI actually needs. Waxell covers all 15 OWASP agentic threats plus 10 it defines beyond the framework — with three-layer policy enforcement, per-tenant isolation, and audit down to the individual tool call.

MCP-native governance. Every tool an agent can reach through Model Context Protocol is registered, identified, and bounded — so the set of callable tools stays known, versioned, and auditable. No unsanctioned tool executes.

A governed execution environment for agents that can't afford to be wrong. Policy isn't layered on top — it gates every step before it runs. Built for financial, healthcare, and infrastructure workflows.

Observability and governance for agents in production. Two lines of Python capture every LLM call, tool invocation, and decision — then enforce runtime policy before the next step executes. Everyone observes; only Waxell governs.

The coordination layer for your AI toolstack. Connect links the tools you already use — Claude, Cursor, OpenAI — so they share context, hand off work, and move as one team. You stop being the integration layer.