LatticeFlow AI, a Swiss deep-tech company pioneering evidence-based AI risk and governance, announced a single platform to control AI risk in the agentic world. As enterprises deploy autonomous, fast-changing AI systems across critical business processes, governance built on documentation and point-in-time assessments can no longer keep pace with continuously evolving AI risk.

The LatticeFlow AI Platform closes that gap. By connecting AI governance frameworks directly to technical controls, it continuously generates technical evidence and translates complex evaluation results into actionable risk insights, supporting confident governance decisions, safe AI adoption and board-level visibility.

The result is a single platform that unifies AI discovery, evaluation and governance, giving organizations one way to map their AI assets, evaluate performance and security, and govern AI systems across the lifecycle, from foundation models and enterprise applications to autonomous agents. As those systems evolve, the platform provides the ongoing oversight that lets organizations scale AI with confidence while staying in control.

Purpose-built for the agentic era, the LatticeFlow AI Platform goes beyond generic benchmark testing. It combines use-case-specific evaluations, adaptive red teaming for agentic AI, and continuous monitoring that re-evaluates systems as models, data and threats change, so risk is measured and controlled as it emerges.

“AI governance has long lacked a technical foundation,” said Dr. Petar Tsankov, CEO and Co-founder of LatticeFlow AI. “There has been a persistent gap between what governance frameworks require and what organizations can actually measure. By connecting frameworks directly to technical controls, we enable enterprises to understand, control and govern AI risk with evidence, continuously.”