Fisher is available now for independent adversarial testing and production-readiness evidence. Additional Deep Model Trust capabilities are moving through phased development and pilot access.
Fisher pressure-tests real, tool-using AI workflows across permissions, data boundaries, and multi-turn attack paths. It verifies outcomes in tool calls and state changes, replays confirmed findings, and returns reproducible evidence for security, governance, and release decisions.
Start with a fixed-scope 30-Day Agent Assurance Assessment, then extend the same attack → prove → remediate → re-test loop across future releases.
Deep Model Trust is Molt’s technical architecture for moving from testing agent behavior to building systems whose authority, decisions, and release processes are bounded and verifiable. Fisher is the first commercially available product built around that thesis. Testing is where trust starts, not where it ends.
Testing is where trust starts, not where it ends. Fisher’s adversarial evidence informs how we’re building a trustworthy agent architecture — small, domain-trained models, scoped authority, and provable behavior. Availability is phased by capability and deployment; each component below carries its published status, and selected customers may be invited into pilot programs as they open.
A 30-Day Agent Assurance Assessment turns your riskiest workflow into reproducible, framework-mapped evidence.
Request an Assessment →Discuss Deep Model Trust pilot access