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As President Trump recently issued an executive order calling on AI companies to voluntarily share their most powerful models with the US government, concerns linger about the lack of concrete safety and security oversight. It's now up to Congress to step in and address the potential risks without stifling innovation or compromising free expression.

Researchers are harnessing the power of machine learning algorithms to crack medieval codes, bringing ancient secrets to life with modern technology. By applying these innovative techniques, they're unlocking the mysteries hidden within historical pencil-and-paper ciphers.

UK banks are now part of an exclusive group gaining early access to OpenAI's cutting-edge GPT-5.5 Cyber model, a powerful AI tool designed to bolster their defenses against sophisticated cyber threats. This move comes as Anthropic's rival program, Project Glasswing, expands to 200 partners, leaving some UK banks to tap into OpenAI's innovative solution instead.

The White House has issued an executive order establishing a voluntary framework for AI oversight, with the NSA at the helm, to assess and benchmark the cyber capabilities of advanced AI models. This move puts the NSA in a central role in shaping the development of AI, sparking debate about the implications of government oversight.

The US has released a revised AI executive order that takes a lighter touch on regulation, embracing a hands-off approach that aims to foster innovation without stifling the industry's growth. This scaled-back directive focuses on a voluntary framework, allowing companies to collaborate with the federal government on AI development.

The White House has issued a new directive requiring companies to give the federal government 30 days' notice before publicly releasing advanced AI systems, a move aimed at balancing innovation with cybersecurity concerns. This change, down from a proposed 90 days, marks a significant shift in federal oversight of AI technology.

OpenAI has upgraded its GPT-5.5 model with a major update, boosting accuracy and conversational style to make interactions feel more human and natural. The new version promises more readable and engaging responses, with a focus on practical help tasks and a more conversational tone.

The US government's new executive order marks a major shift in AI oversight, requiring companies to submit advanced models for review before release, effectively ending the Wild West era of AI development. This move has drawn support from security leaders, who see it as a crucial step towards ensuring AI safety and security.

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Imagine a high-stakes, thousand-mile e-bike race through the harsh Baja Desert - that's where a cutting-edge military AI platform is being put to the test. This innovative technology, developed by GDIT and AWS, is designed to revolutionize energy management in challenging environments.

OWASP's new Agentic Research Council is set to revolutionize AI security by bridging the gap between rapidly evolving AI capabilities and lagging security research, bringing expert-backed solutions to the forefront. By uniting research and practice, the council aims to empower cybersecurity practitioners, developers, and leaders to stay ahead of emerging threats.

As Robinhood rolls out AI-powered trading and credit card features, experts are sounding the alarm on potential accountability and security risks - but the company claims it's prioritizing safety with built-in controls. Can AI agents truly be trusted to make trades and purchases on our behalf?

Anthropic sounded the alarm in April, cautioning that the side that harnesses powerful AI tools like its Mythos model first will gain a significant edge. The company is now preparing to roll out Mythos, but with careful controls in place to mitigate potential security risks.

Snowflake is supercharging its AI security with the acquisition of Natoma, empowering users to tackle everyday tasks like sending emails and checking calendars without leaving Snowflake Intelligence or Coco. This move is part of Snowflake's vision for an "agentic control plane," where AI agents can take actions across business systems while keeping security controls firmly in place.

The US government has made a groundbreaking $2 billion investment in quantum computing, taking a significant stake in nine key companies to cement its lead in this critical technology. This move signals a major shift in Washington's approach, recognizing quantum computing as a vital national asset rather than a speculative bet.

Anthropic is on the cusp of unveiling its game-changing Mythos model, a frontier AI that's poised to revolutionize code reasoning and autonomy with capabilities that far surpass its predecessors. This powerful tool could redefine the cyber landscape, giving a significant edge to those who harness its potential.

Get ready to experience the future of AI: Anthropic is set to unveil its powerful Mythos-class models to the public, bringing cutting-edge technology with enhanced security features to the masses. This highly anticipated release marks a significant milestone in making advanced AI more accessible.

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US Special Ops Forces are leveraging AI to gain a strategic edge in remote warfare, with a focus on harnessing generative AI for tactical operations and resource allocation. They're now pushing to deploy AI capabilities to the tactical edge, enabling faster decision-making in disconnected environments.

President Donald Trump has delayed an executive order aimed at regulating frontier AI models, citing concerns over certain aspects of the proposal, which would have required a 90-day testing and vetting regime for new AI models. The order would have allowed federal agencies to study new models before public release and facilitated access for cybersecurity testers.

Microsoft is taking a major leap forward in AI safety with the launch of RAMPART, an open-source tool that automates red-teaming for agentic AI applications, helping to prevent real-world attacks like prompt injection. By integrating RAMPART into its CI/CD pipelines, Microsoft is turning AI safety from a philosophy into a practical engineering discipline.

OpenAI is reportedly gearing up for a blockbuster IPO, with plans to confidentially file a draft prospectus as early as this week, amid rumors of a potential $1 trillion valuation. The move comes on the heels of a Musk lawsuit dismissal, clearing the way for the AI giant to accelerate its public debut plans.

As AI adoption surges in ANZ enterprises, a concerning gap is emerging: over half of organizations lack confidence in their ability to monitor and govern these new technologies, leaving them vulnerable to an expanding attack surface. AI agents and copilots are rolling out faster than security teams can keep up, creating a visibility blind spot that's hard to ignore.

As federal agencies increasingly integrate AI into their facilities, they're facing a major hurdle: outdated legacy systems that require a fresh, open systems approach to support the technology. This critical upgrade is essential to unlock AI's full potential and drive vital service delivery improvements.

A Department of Justice attorney warned that a faulty AI model in military ops could have disastrous consequences, putting service members' lives at risk. Anthropic is challenging the Pentagon's decision to label it a national security risk, sparking a heated debate in the courts.

Be cautious with agentic AI - a single misstep could have serious consequences if an agent misinterprets its task, oversteps its boundaries, or falls prey to manipulation. Don't give agentic AI unrestricted access to sensitive data or critical systems without careful consideration.