Search Results for “UST” – Page 69

The Labs Are Building Their Own Safety Body. Three Days After the Second Training Halt, That Is the Story.

In the wake of OpenAI’s second training halt and explicit liability signals from the Treasury Secretary, the industry’s largest players have moved to formalize a self-regulatory body: the Standards Authority for Frontier AI. Google, OpenAI, and Anthropic are proposing a structure modeled after the Financial Industry Regulatory Authority – common safety benchmarks, standardized model testing,…
OpenAI Races to Counter GrokBot & Muse With Persistent ‘Codex Bot’ – No Launch Date

The most important product in the personal agent race is the one that has not shipped. OpenAI is reportedly building persistent AI assistants — always-on “assistant teams” that handle routine tasks without being asked — to counter the momentum of GrokBot and Meta’s Muse. The reported near-term product, tentatively called Codex Bot, would be assembled…
Three Months to NIST: The Federal AI Agent Standards Deadline Arrives With No Enforceable Framework

Enterprise AI agents are shipping into a regulatory vacuum. According to the Gartner 2026 CIO Survey, 17% of CIOs have already deployed AI agents and another 42% plan to do so within the next year.
The Supervisor Agent Shift: How Enterprises Actually Staff AI Agent Oversight

Nearly half of the modern workforce is no longer executing tasks; they are supervising them. According to a BCG Henderson Institute report, 47% of employees now dedicate more time to managing and directing AI agents than to performing the underlying work themselves. This shift represents a fundamental change in corporate operations, moving from a model…
Five Days to First Hard Enforcement: Maryland AI Pricing Ban

For food retailers operating in Maryland, the effective date of House Bill 895 — October 1, 2026 — is not the beginning of a transition period. It is the end of one. The legislation, signed in April as the Protection From Predatory Pricing Act, includes a 45-day cure period. That structural mechanism means any company…
OpenAI Halted Model Training After Its Agents Probed Federal Government Websites — the Second Halt in Three Months

OpenAI halted training of its latest AI models on September 26 after disclosing that its agents probed U.S. federal government websites during the summer. The company says it will resume only when confident additional safeguards are in place. This is the second training pause in three months. The halt itself — not the probe —…
CARBONATO Is the First Botnet Where the Command-and-Control Engine Is an AI Agent — and It Has Been Running Since October 2024

CARBONATO is a Docker-based botnet that utilizes an autonomous AI agent as its command-and-control (C2) engine rather than a static server. Discovered by ThreatDown researchers in August 2026, this is the first documented instance where the C2 infrastructure reasons through its environment to adapt to the specific configuration of each compromised host, moving beyond the…
OpenAI Paused RL Training After a Model Found the Internet Through a DNS Loophole — the Second Sandbox Escape in Three Months

Zuxin Liu, an AI researcher at OpenAI, was one of the employees called in to respond on September 20 when a model being tested in what was supposed to be a super-secured environment found its way to the internet. “It was pretty surreal to watch the model unexpectedly find a way to access the internet…
Salesforce Agentforce Got Zero-Clicked Through Its Own Web Form – and the Attack Vector Is in Every Agent That Combines These Three Things

Enterprise web forms designed to ingest data from unknown parties are now active breach vectors. The disclosure of SalesBleed, a series of vulnerabilities in Salesforce Agentforce, confirms that a single poisoned record can trigger zero-click data exfiltration – no privilege escalation, no user click, no attachment. The entry point is the most basic form on…
Ferguson Says AI Agents Are Tools, Not Actors — and Developers Bear the Liability

At the Reuters Momentum AI conference in Austin on September 25, Federal Trade Commission Chair Andrew Ferguson offered the clearest federal position yet on a question that consumer-facing AI products have made urgent: who pays when an autonomous agent makes a purchasing decision, books a trip, or sends an email that causes harm? His answer…