CrowdStrike Ships SPIFFE-Based Continuous Identity for AI Agents, Maps OAuth Gap
The $740M SGNL acquisition now powers cryptographically verifiable agent identities — but the industry still lacks a standard way to express who an agent is acting for.
The $740M SGNL acquisition now powers cryptographically verifiable agent identities — but the industry still lacks a standard way to express who an agent is acting for.
Sysdig TRT documents JADEPUFFER, the first fully autonomous ransomware operation driven by an LLM agent that exploited CVE-2025-3248 in Langflow to encrypt 1,300+ database records.
Palo Alto Networks researchers document five malicious skills that passed VirusTotal and ClawScan on OpenClaw’s ClawHub marketplace, including the first weaponized AI agent network for cryptocurrency fraud.
Universal Commerce Protocol, co-developed with Shopify, preserves the merchant-of-record model and runs through Google Merchant Center. 60+ partners joined the Tech Council. But the 14% consumer trust ceiling applies to this rail too.
Visa, Mastercard, x402, MPP, Google UCP, AWS AgentCore — three competing architectures now in production for agent payments. The structural question: they are fighting over plumbing, not commerce.
Visa is positioning itself as the central nervous system for the nascent agentic commerce economy. Whether this platform becomes the standard for autonomous commerce or remains a sophisticated solution in search of a problem depends on whether consumers can be convinced to relinquish control.
Agent Pay for Machines is the first infrastructure designed for machine-to-machine commerce at scale. But there’s no public audit of actual agent transaction volume — and the gap between rails and riders is the story.
Google, Mastercard, and Coinbase are collaborating through standards bodies to define the rules of AI agent commerce before governments can. But technical security and consumer trust are not the same thing.
ClickUp deployed 3,000 AI agents and restructured around a model where fewer employees do more work for dramatically higher pay. Industry data suggests most companies can’t make it pay.
A new study of 21,599 U.S. firms finds that companies spending the most on AI hired more people, including at the entry level. But the gains stopped there.