What does a “standard of care” for AI agents actually look like?

For the first time publicly at RSA this week, we demoed how Sondera moves agents from “prompt and pray” to deterministic production.

Using an enterprise deploying Claude Code as the scenario, we showed how to prove not just what an agent will do, but exactly what it won't do.

We provide that proof at the action layer:

→ INSTRUMENTATION: We wrap Claude Code with the Sondera harness to intercept tool calls at the execution layer.

→ ADVERSARIAL SIMULATION: We generate the specific risks a coding agent poses to your environment before you ship.

→ AUTO-FORMALIZATION: Natural language rules are converted automatically into Cedar policy-as-code.

→ REAL-TIME ENFORCEMENT: We stop the lethal trifecta (sensitive access + untrusted input + state change) in real-time.

→ IMMUTABLE TRAJECTORY LOGS: We generate the audit trail that proves compliance through every step of the agent's journey.

Our goal is to steer, not block. Our new developer TUI gives engineers the context they need to retool and redirect agents immediately when they hit a control. This reduces wasted tokens and eliminates the friction that often slows down agent adoption.

Minimizing the gap between security, GRC, legal, and AI platform teams is the only way to move agents out of POCs and into production.

If you are looking to build and deploy agents with an enterprise-grade standard of care, we would love to chat.

Reach out here: sondera.ai

Subscribe to our Substack: blog.sondera.ai

Watch the full demo from Graph the Planet here: