Latest Internet & Cybersecurity News
Trump expected to sign AI and cybersecurity executive order
US President Donald Trump is expected to sign an executive order on AI and cybersecurity as soon as Thursday, responding to pressure for tighter oversight of frontier models. The order would create a voluntary framework asking AI developers to share covered models with the government 90 days before public release and provide early access to critical infrastructure providers such as banks .
Frontier AI models may face pre-release federal review
The reported order would focus on so-called covered frontier models, adding a review layer before public release rather than imposing immediate mandatory regulation. Industry advocates said they want the Commerce Department’s Center for AI Standards and Innovation to lead the response and that companies are willing to engage voluntarily .
AI security scrutiny expands to banks and critical infrastructure
The proposed framework would extend early access to certain unreleased AI models for critical infrastructure operators, including banks, reflecting concern that advanced models could affect vital services. The move signals that AI safety is increasingly being treated as part of national cybersecurity planning .
AI penetration testing rises as a top cybersecurity training priority
New research from Hack The Box shows AI penetration testing has become one of the most important global cybersecurity training priorities. The findings suggest security teams are rapidly building skills around prompt injection, agentic AI, and AI-driven attack scenarios .
Enterprises accelerate AI security training amid rising threats
Hack The Box and ISC2 both report that organizations are investing more heavily in AI security capabilities while also worrying about the risks AI introduces. Training completion rates reached 64% in late 2025 in enterprise-led programs, showing a clear shift toward hands-on preparedness .
AI seen as both a security enhancer and a security risk
ISC2’s workforce research found AI is viewed as the technology most likely to improve security, but also one of the most likely to increase risk. That tension is pushing CISOs to prioritize continuous training, broader talent pipelines, and more advanced defensive tooling .
Verizon says AI is accelerating cyberattacks and breach timelines
A new Verizon report highlighted that AI-driven cyberattacks are speeding up the pace of compromise, with data breaches occurring within an hour in some cases. The report underscores how attackers are using automation to compress response windows and make detection harder .
Cyber defenders face shorter reaction times as AI attack methods mature
The Verizon findings reinforce a broader trend: security teams now have less time to identify and contain intrusions because AI tools can automate reconnaissance and exploitation. That makes rapid monitoring, incident response, and threat hunting more important than ever .
US policy push signals a more coordinated AI cybersecurity approach
The reported White House plan would use a voluntary engagement model rather than a hard regulatory regime, but it still expands federal involvement in AI release processes. That suggests the US is moving toward more structured AI security coordination across government and industry .
Big tech faces new compliance and review expectations around frontier AI
Even without mandatory rules, the proposed order would add another layer of scrutiny for major AI developers releasing advanced models. Companies could face new expectations around pre-release sharing, security testing, and coordination with federal agencies .
Cybersecurity workforce priorities shift toward AI risk management
The latest workforce research shows organizations are redirecting training and hiring toward AI-related security skills, especially as prompt injection and agentic AI become mainstream concerns. This reflects a broader rebalancing of cybersecurity priorities toward managing AI-specific threats .
AI cyber policy momentum grows amid political pressure
The executive-order effort comes as pressure builds from parts of Trump’s political base and the tech policy community to address the risks posed by advanced AI models. The result is a fast-moving policy debate that could influence how AI systems are tested, shared, and deployed in critical sectors .