On Wednesday, the White House released "Winning the Race: America's AI Action Plan," a 25-page document that outlines the Trump administration's strategy to "maintain unquestioned and unchallenged global technological dominance" in AI through deregulation, infrastructure investment, and international partnerships. But critics are already taking aim at the plan, saying it's doing Big Tech a big favor.

Assistant to the President for Science and Technology Michael Kratsios and Special Advisor for AI and Crypto David Sacks crafted the plan, which frames AI development as a race the US must win against global competitors, particularly China.

The document describes AI as the catalyst for "an industrial revolution, an information revolution, and a renaissance—all at once." It calls for removing regulatory barriers that the administration says hamper private sector innovation. The plan explicitly reverses several Biden-era policies, including Executive Order 14110 on AI model safety measures, which President Trump rescinded on his first day in office during his second term.

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The incident's legacy extends far beyond CrowdStrike. Organizations now implement staged rollouts and maintain manual override capabilities.Read More

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Discover OpenAI's red team blueprint: How 110 coordinated attacks and 7 exploit fixes created ChatGPT Agent's revolutionary 95% security defense system.Read More

On Thursday, OpenAI launched ChatGPT Agent, a new feature that lets the company's AI assistant complete multi-step tasks by controlling its own web browser. The update merges capabilities from OpenAI's earlier Operator tool and the Deep Research feature, allowing ChatGPT to navigate websites, run code, and create documents while users maintain control over the process.

The feature marks OpenAI's latest entry into what the tech industry calls "agentic AI"—systems that can take autonomous multi-step actions on behalf of the user. OpenAI says users can ask Agent to handle requests like assembling and purchasing a clothing outfit for a particular occasion, creating PowerPoint slide decks, planning meals, or updating financial spreadsheets with new data.

The system uses a combination of web browsers, terminal access, and API connections to complete these tasks, including "ChatGPT Connectors" that integrate with apps like Gmail and GitHub.

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Clearwater Analytics CISO Sam Evans dodged a bullet by blocking shadow AI from exposing data integral to $8.8 trillion under management.Read More

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Dust AI startup hits $6M revenue building enterprise agents that automate workflows and take real actions across business systems using Anthropic's Claude models and MCP protocol.Read More

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AI inference attacks drain enterprise budgets, derail regulatory compliance and destroy new AI deployment ROI.Read More

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AI models are under attack. Traditional defenses are failing. Discover why red teaming is crucial for thwarting adversarial threats.Read More

In the AI world, a vulnerability called a "prompt injection" has haunted developers since chatbots went mainstream in 2022. Despite numerous attempts to solve this fundamental vulnerability—the digital equivalent of whispering secret instructions to override a system's intended behavior—no one has found a reliable solution. Until now, perhaps.

Google DeepMind has unveiled CaMeL (CApabilities for MachinE Learning), a new approach to stopping prompt-injection attacks that abandons the failed strategy of having AI models police themselves. Instead, CaMeL treats language models as fundamentally untrusted components within a secure software framework, creating clear boundaries between user commands and potentially malicious content.

The new paper grounds CaMeL's design in established software security principles like Control Flow Integrity (CFI), Access Control, and Information Flow Control (IFC), adapting decades of security engineering wisdom to the challenges of LLMs.

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