Deploying Agents in your enterprise? We are solving agent trust at Verigrey.com - 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 and monitor after. We found 9x more violations compared to typical benchmark approaches. #AI #Assurance #cybersecuity #agents
Glad to see AI safety is paramount in this expansion to Singapore. Singapore is leading most the world in ensuring independent safety testing of agents.
We’ve opened an office in Singapore—our fifth in the Asia-Pacific region. We’ve also signed an MOU with the Government of Singapore on AI safety and responsible adoption.
You can read more about our new office here: anthropic.com/news/singapore…
When your agents discover they can communicate in ways you never tested for.
Test agent behavior with verigrey.com
Three worries every CISO/AI Steering Committee should have about AI agents
1. Agents are becoming privileged users
Agents aren’t just generating text anymore. They’re getting access to APIs, databases, browsers, internal systems and other agents — and taking actions autonomously.
We spent decades building identity, access controls and monitoring around humans.
Now we’re creating a new class of machine user that can act thousands of times faster.
CISOs need to ask: Do we actually know what our agents can access, what actions they can take, and whether they stay within those boundaries?
🧵 Below 👇
2. A safe agent can become unsafe without being hacked
Cybersecurity traditionally focuses on compromise: Was an attacker able to get in?
With agents, that’s no longer the only question.
An uncompromised agent can still take an unintended action, misuse a legitimate tool, expose sensitive information, violate policy or behave differently when its environment changes.
That means security has to expand from protecting the system to continuously assuring its behavior.
🧵👇
3. Your biggest agent risk may be the agents you don’t know about
Employees are already connecting AI to enterprise data and tools. Vendors are embedding agents inside their products. Business units can deploy agents faster than traditional security reviews were designed to handle.
The result could be the AI equivalent of shadow IT — except this software can act.
CISOs need visibility into what agents exist, what they’re connected to, what permissions they have, and what they’re actually doing.
These aren’t just new vulnerabilities.
Agents change the security model itself.
When software can reason, use tools and take actions at machine speed, we need security and assurance that operate at machine speed too.
Phalgun retweeted
Good Will Hunting GPU Edition
Ep. 2: My Boy's Wicked Smaht
Ben Affleck reveals he writes Python, understands convolutional neural networks, worked extensively with GPUs, and used his celebrity status to get private looks at Google and OpenAI’s video models
“I’ve always been kind of into computers since I was young. Then, when film started to move from analog film to digital, I became more interested in that aspect of it. The visual-effects workflow for many years has included machine learning, so I can write pretty shitty Python scripts and stuff like that.
“With convolutional neural networks, which were the precursors to what the transformer can do, which is much more computation simultaneously, you would do things like look at what’s called a tensor. That’s the numerical translation of a visual image in numbers, like the batch number, the frame number and the red, green and blue values of each pixel in each frame. It’s just that simple. That numeric is called a tensor.
“You’d use a convolutional neural network to identify patterns that reveal what’s called edge detection or feature extraction, which is identifying patterns well enough to know, this is where the window ledge is, so we can more easily take the green-screen image out and replace it with something.
“That was familiar to me early on because, prior to Artists Equity, I had a small visual-effects company. I’ve worked with GPUs a lot too. The visual-effects guys said, ‘Hey, you should see. There are a couple: Google and this other company, OpenAI, are doing really interesting stuff with transformers in video.’
“I’ve learned that I can actually just call up and go, ‘Hey, it’s Ben Affleck. Can I come see what you’re doing?’ Sometimes people say yes, to my astonishment.”
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.
Can find MAS' Safeguards for Agentic Finance at Runtime (SAFR) report here: mas.gov.sg/publications/mono…
1,200 AI agents found a way to secretly communicate.
They exchanged ~70,000 messages, coordinated strategies, and some developed techniques to manipulate the very evidence being used to evaluate them.
The Hugging Face incident is extraordinary. But I think the bigger lesson is being missed.
Giving an AI agent rules is not the same as knowing it will follow them.
As agents gain tools, permissions and autonomy, enterprises need to test not just whether an agent can complete its task — but how it behaves while trying to complete it, especially when things go wrong.
Can it violate policy?
Misuse its tools?
Evade monitoring?
Coordinate in unexpected ways?
Behave differently when the task becomes impossible?
This is why I believe AI Agent Assurance will become a critical layer of the enterprise AI stack.
At @VerigreyHQ , this is exactly the problem we’re working on: independently testing agents for security, policy and behavioral failures before deployment — and monitoring them in production.
The lesson isn’t that enterprises shouldn’t deploy agents.
It’s that autonomy without independent assurance is an unbounded experiment.
Worth watching.
youtube.com/watch?v=X50zezLF…
Check out the full insightful and eloquent speech by Grant Sanderson at Harvey Mudd here: youtube.com/watch?v=W3I3kAg2…
2. Understand Action Precedes Motivation
3. Ask what is possible now that wasn’t possible 10 years ago
4. Appreciate how much power you have to shape the lives of generation what follows you
🧵
Phalgun retweeted
Mars' Olympus Mons, the tallest known volcano in the solar system, has such a gradual slope that someone standing at the base couldn't see the summit because it's beyond the horizon.
Phalgun retweeted
For mathematically ambitious students in India age 14-18: All expenses covered for 6 weeks of exciting mathematics at PROMYS at Boston U in U.S. thanks to @nicknash01 @phalgun @MorphOrg Avi & Sandra Nash. Apply by March 15.
Talented secondary students in India excited by mathematics can apply by March 15 for a Mehta Fellowship to PROMYS, a 6-week immersion at Boston University, July 3–Aug 13, 2022. All costs covered incl. travel to USA. promys.org/mehta-fellowships…
I recently started a Syntopical Book Club with friends - here is how it works: linkedin.com/pulse/introduci…









