Trustwise is an AI trust management and runtime security platform designed for agentic AI systems. It targets large enterprises in regulated sectors such as healthcare, finance, and industrial operations. The platform addresses what it terms the "Trust Gap" — the gap between AI ambition and reliable, secure, governed deployment — by embedding trust, safety, and security across the full AI lifecycle, from simulation and verification to optimization and governance. Core to the offering is the AI Control Tower, which provides runtime oversight and trust enforcement for AI agents operating across any model or cloud environment. The platform converts unprotected ("naked") agents into "shielded" agents by embedding safety and policy controls at the decision layer rather than at the perimeter. Trustwise delivers its capabilities through APIs, SDKs, MCPs (Model Context Protocols), and Guardian Agents. Its infrastructure includes 6 agents, 12 small language models (SLMs), 14 datasets, 30 guardrail modules, 1,100 mapped controls, 20,000 red team prompts, and 21 million synthetic personas. Key functional areas include: - Runtime trust scoring and live mitigation - AI shield enforcement to block tool misuse and data leaks - Policy repair and compliance enforcement - Purple teaming and red team prompt testing - Cost optimization for AI workloads - Agent behavior alignment and drift containment - Audit tracing of agent actions The platform is modular, allowing organizations to adopt capabilities incrementally. It has been deployed in production with organizations including KPMG, NHS, Lloyds, and Yum!.