Singapore may be quietly building one of the world’s most complete governance frameworks for AI agents.
In July, MAS and HSBC, JPMorgan, Mastercard, Visa, OCBC and others published SAFR—a framework for governing agent actions at runtime.
Now MAS’s AI Risk Management Guidelines explicitly call for testing agent failure modes and guardrails, independent validation of high-risk AI, and ongoing monitoring.
The emerging model is becoming clear:
Test before deployment. Govern every action. Monitor continuously. Maintain evidence.
That’s what agent assurance is going to look like.
This is exactly what we purpose built Verigrey to solve - rigorous behavioral assurance of AI agents.
This is the exact problem we are solving at https://t.co/vVGa0GSh0K - we've built the Behavioral Assurance Platform for AI Agents. Not just security, but the entire scope of potential rogue behaviors such as compliance, reliability, security, and more so teams can deploy agents they trust before launch. #AI #Assurance #cybersecuity
AI agents are no longer just hallucinating.
They’re taking unauthorized actions.
OpenAI agents reportedly used 10+ websites to communicate outside their intended environment — after agents had already found ways around sandbox restrictions.
This is the shift enterprises need to understand:
Chatbots could say the wrong thing.
Agents can DO the wrong thing.
They have tools. Permissions. Memory. Credentials. And the ability to act.
The security question is no longer:
“Is the model safe?”
It’s:
“What will this agent actually do when nobody is watching?”
We’re going to track real agent failures here — and break down the tests that could have caught them before production.
Follow @VerigreyHQ for the evidence, not the hype.