The legal questions raised by agentic AI hacks
Experts and policymakers want AI companies to face consequences for agentic hacks. There may not be a clear-cut answer under existing laws and regulations.
Experts and policymakers want AI companies to face consequences for agentic hacks. There may not be a clear-cut answer under existing laws and regulations.
Months after police seized its servers and arrested an alleged operator, the Kimwolf botnet is running code that disguises attacks as Chrome traffic and fetches its orders from the Ethereum blockchain.
The bill empowers the FTC to create a registry for sellers of AI agent software certifying their privacy and cybersecurity protections.
Outsider provided phishing kits and infrastructure for cybercriminals to scam victims with lures claiming they missed packages, had unpaid tolls or parking violations.
AI is breaking things faster than anyone can fix them. Security leaders across the industry are racing to figure out what comes next.
The campaign hit major registries and hid behind legitimate-looking release signatures, showing how attackers can weaponize the software update process itself.
The woman’s lawyer told CyberScoop they believe the company edited her video to suggest she was a “friend with benefits” and intentionally geofenced it to men around her.
Anthropic recently announced that it would not release Mythos, its most powerful AI model, to the public. The model discovered thousands of previously unknown software vulnerabilities — flaws that had sat undetected in major operating systems and web browsers for as long as nearly three decades. Anthropic said the model was too dangerous to deploy […]
Greg Barbaccia told CyberScoop that Anthropic’s Mythos shows real promise for federal cyber defense, but warns that laboratory results and live network conditions are two very different things.
Chatrie v. United States asks whether a single warrant can justify a location-data dragnet — and what “probable cause” means when the search starts with basically everyone nearby.