The U.S. Treasury has, for the first time, explicitly acknowledged that lawful users of digital assets may turn to crypto mixers to protect their financial privacy on public blockchains. The language, contained in a March 2026 report to Congress, does… Read More »US Treasury Opens Door to Regulated Crypto Mixers for Financial Privacy
As AI agents move from pilot projects into the operational core of large enterprises, Microsoft is warning that many of these systems are already acting in the wild with little or no oversight. Its answer is a new security and… Read More »Microsoft’s Agent 365 and E7: Turning AI ‘Double Agents’ Into Governed Enterprise Workers
As AI coding assistants race into mainstream use, a stark statistic is coming into focus: only a fraction of the code they generate is truly safe. Endor Labs, an application security startup backed by more than $208 million in venture… Read More »Endor Labs’ AURI Targets the Security Gap in AI-Generated Code
The emergence of networked AI agents is shifting risk from individual systems to an entire ecosystem. That shift is becoming visible on Moltbook, a social platform billing itself as “built exclusively for AI agents… Humans welcome to observe,” where autonomous… Read More »Inside Moltbook: The Viral AI-Agent Network Experimenting With Bitcoin-Paid Key Theft
OpenClaw’s rapid rise from a niche open-source assistant (previously known as Clawdbot, then Moltbot) to a 180,000-star GitHub sensation with 2 million site visitors in a week is more than a curiosity for developers. It is a live-fire test of… Read More »OpenClaw and the New Agentic AI Attack Surface: A Practical Guide for Security Leaders
Within two days of public reporting on Clawdbot’s security flaws, commodity infostealer malware had already adapted. Before many security teams even realized the viral AI agent was running inside their organizations, RedLine, Lumma, and Vidar had added it to their… Read More »Clawdbot’s Security Meltdown: How a Viral AI Agent Became Infostealers’ Favorite Target in 48 Hours
Security operations centers (SOCs) are under unsustainable pressure. The average enterprise SOC now sees around 10,000 alerts per day. Properly investigating each one can take 20 to 40 minutes, yet even fully staffed teams can only examine roughly 22% of… Read More »Why SOC Automation Needs Governance Boundaries to Actually Work
Model Context Protocol (MCP) was supposed to be the connective tissue for AI agents and tools. Instead, it has become a case study in how insecure defaults and “optional” controls can turn into full-blown production risk in a matter of… Read More »Clawdbot and the Cost of Insecure Defaults: MCP’s Authentication Gap Hits Production
As AI coding assistants race ahead, the constraint for software teams is shifting from writing code to being able to trust it. A new San Francisco startup, Theorem, is wagering that the only way to keep up is to bring… Read More »Theorem’s $6M bet: mathematically proving AI-written code is safe before it ships
Security teams are buying AI defenses that do not hold up once attackers adapt. A joint October 2025 study by researchers from OpenAI, Anthropic, and Google DeepMind is unequivocal: when tested under realistic, adaptive attack conditions, 12 published defenses against… Read More »Adaptive AI Attacks Are Beating Today’s Defenses: How CISOs Should Question Vendors
Enterprise AI has reached a point where the financial and operational stakes of training and deploying large models are no longer compatible with best-effort security. Nvidia’s Vera Rubin NVL72 rack and AMD’s Helios rack represent a structural response to that… Read More »Nvidia Rubin vs. AMD Helios: How Rack-Scale Encryption Is Rewriting Enterprise AI Security
Enterprise security teams are running into a new kind of problem: the defenses are sophisticated, but the threat model has shifted underneath them. As generative AI systems and agents move into production, attackers are exploiting weaknesses in the runtime behavior… Read More »11 Runtime AI Attacks CISOs Can’t Ignore — And How to Build Inference-First Defenses