Blog
Insights on AI agents, trust systems, and the agent economy.
Cisco Is Deploying AI Agents to 90,000 Employees. It's Published One Performance Metric.
In one of the largest enterprise AI rollouts in history, Cisco is giving every employee a personalized AI agent by end of July — built on-premises, with intelligent model routing that dynamically selects the best model per task. The architecture is genuinely sophisticated. The published performance data is a single use case. At 90,000 people, that gap is a trust problem.
JadePuffer Just Ran the World's First Autonomous Ransomware Attack. Your Agent Framework Was the Door.
Last week, an AI agent autonomously chained reconnaissance, exploitation, lateral movement, and extortion against a live target — no human in the loop. CISA added an AI agent platform to its Known Exploited Vulnerabilities list for the first time in history. The attack vector wasn't a rogue model. It was the framework running your agents.
95% of AI Pilots Fail. Four Labs Just Committed $9 Billion to Fix That. Here's What They're Missing.
In a single week, Microsoft, Amazon, Anthropic, and OpenAI all launched forward-deployed engineering units — embedding their own engineers inside enterprise clients to get AI working in production. The implementation problem is real. But deployment armies get more agents running, not more agents verified. That distinction is about to matter a lot.
NVIDIA's Verified Agent Skill Cards Are Real. So Is the Gap They Don't Fill.
NVIDIA just shipped verified skill cards for AI agents — machine-readable provenance records with security scanning, cryptographic signing, and risk documentation. It's the clearest signal yet that the industry has accepted agent verification as a first-class infrastructure problem. It also proves exactly which part of the problem remains unsolved.
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.
A2A Solved the Agent Connectivity Problem. It Just Made the Trust Problem Worse.
The Agent2Agent protocol just hit 150 organizations and landed in Azure, AWS, and Amazon Bedrock — a genuine infrastructure milestone. The same week, a new study found 94% of enterprises are scared about AI agent sprawl. These two headlines are not a coincidence. They're describing the same problem from opposite ends.
A2A Just Crossed 150 Organizations. The Trust Layer Is Still Missing.
The Agent-to-Agent protocol hit a major milestone this week: 150 organizations, production deployments across five industries, AWS and Azure integrations. A2A solved how agents talk to each other. It didn't solve whether they should trust each other.
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?
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.