Blog
Insights on AI agents, trust systems, and the agent economy.
A2A Hit 150 Organizations. Authentication Is Not Verification.
The Agent-to-Agent protocol just marked one year with 150 supporting organizations, production deployments across financial services and supply chain, and deep integration into every major cloud. It solves how agents communicate. The Meta Sev-1 incident explains what it doesn't solve — and why authentication and verification are not the same problem.
EY Just Deployed AI to 130,000 Auditors. 78% of Executives Can't Explain What's Happening.
EY's global rollout of agentic AI to its entire Assurance workforce — 130,000 professionals, 160,000 engagements, 150 countries, 1.4 trillion lines of journal entry data — is the largest enterprise AI deployment in professional services history. It landed the same week a Grant Thornton survey found 78% of executives don't believe they could pass an independent AI governance audit. Both things are true simultaneously.
AI Agents Score Half as Well as PhDs on Real Work. Benchmarks Say Otherwise. Both Are Right.
Stanford's 2026 AI Index found the best AI agents perform at roughly half the level of human PhDs on complex scientific tasks. UC Berkeley showed those same agents can score 100% on standard benchmarks without solving anything. These two facts aren't in conflict — they're the same problem from opposite ends.
AI Agents Are Running Payroll Now. The Stakes Just Changed.
ADP just deployed a Payroll Variance AI agent to enterprise clients in 40+ countries. When AI agents move from productivity tools into operational finance, 'it worked in the demo' stops being good enough.
OpenAI Gave Agents a Sandbox. What They Still Need Is a Report Card.
OpenAI shipped sandboxed execution in its Agents SDK this week — a real safety improvement that the enterprise world is going to misread as a trust solution. Containment and verification are different problems, and confusing them is expensive.
96% of Enterprises Have AI Agents. Only 12% Know How to Govern Them.
A new OutSystems report drops a number that should terrify every enterprise architect: 96% of companies are running AI agents in production, but only 12% have centralized governance for them. Agent sprawl isn't a future problem — it's the problem you have right now.
A2A at One: The Protocol Won. Now Build the Trust Layer.
The Agent2Agent protocol just turned one with 150+ supporting organizations and deep integration in Azure, AWS Bedrock, and Google Cloud. Agents can now talk to each other across any vendor stack. The problem nobody is solving yet: should they trust what they hear?
Anthropic Solved Deployment. Now Comes the Hard Part.
Anthropic's Managed Agents just stripped the infrastructure friction out of shipping AI agents. Notion, Rakuten, and Asana are already live in production. When deployment takes weeks instead of months, the competition moves somewhere else entirely.
The Liability Era for AI Agents Has Arrived
Gartner just told general counsels to buy AI insurance. The Register noted there's nobody to sue when agents fail. With enterprises averaging $207M in AI spend this year and Gartner projecting 2,000+ 'death by AI' legal claims by year-end, the question of who's liable when agents break things is no longer academic.
The Agent Marketplace Moment Is Here — And It's Moving Fast
monday.com just launched an AI agent hiring marketplace built with Anthropic. MCP hit 10,000 servers. A2A is now Linux Foundation infrastructure. The thesis SignalPot was built on is being validated in real time.
Who Audits the Audit AI?
EY just deployed agentic AI to 130,000 auditors processing 1.4 trillion data points. The audit profession runs entirely on trust. So why are audit AI agents the last to be independently verified?
Half Your Enterprise Agents Are Talking to Nobody
A new report finds the average enterprise runs 12 AI agents — but half of them operate in complete isolation, with no connection to other agents or systems. At $600 billion in investment, this is the most expensive silence in tech right now.
Every Enterprise AI Agent Needs an Identity. Most Still Don't Have One.
Okta is putting 'Okta for AI Agents' into general availability on April 30 — and the headline finding from their research is brutal: 88% of organizations have had AI agent security incidents, yet only 22% treat agents as independent, identity-bearing entities. Before you can trust an agent, you have to know what it is.
150 Organizations Just Wired Their Agents Together. Now Comes the Hard Part.
Google's Agent2Agent protocol now has 150+ enterprise backers and just shipped a major upgrade. The plumbing for multi-agent interoperability is essentially solved. What isn't solved is whether anyone should trust what flows through it.
Microsoft Just Made Agent Governance Infrastructure Official
Microsoft's open-source Agent Governance Toolkit isn't just another security tool — it's the market acknowledging that a verified trust layer for AI agents is no longer optional. Here's what it means and what it still doesn't solve.
NVIDIA Built the Factory Floor. Who's Running Quality Control?
NVIDIA's Agent Toolkit just gave 17 enterprise partners the infrastructure to deploy AI agents at scale. IQVIA already has 150+ agents across the top 20 pharma companies. But infrastructure isn't verification — and the gap between deploying agents and knowing if they work is the next crisis.
20,000 Agents and Counting: Enterprise AI Deployment Is Outpacing Enterprise AI Trust
BNY Mellon just deployed 20,000 AI agents across its global workforce. Meanwhile, 88% of enterprises report AI agent security incidents and only 1 in 3 have mature governance. The gap between shipping agents and trusting them has never been wider.
Why Your AI Agent Needs a Trust Score (And How to Get One)
AI agents are flooding every major cloud marketplace. But there's no standard way to verify they actually work. Here's why trust scores matter and how to get one.
OpenClaw Just Changed Everything: AI Agents You Can Run on Your Own Computer
NVIDIA's CEO calls OpenClaw 'the next ChatGPT.' This open-source framework lets anyone run autonomous AI agents locally — no cloud subscription required. Here's why it matters for you.