Abstract: Software vulnerabilities pose critical risks to the security and reliability of modern systems, requiring effective detection, repair, and explanation techniques. Large Language Models (LLMs ...

Microsoft and Palo Alto Networks have separately reported significant results after turning AI on their own code to find ...

The exploit code was almost too neat. When Google’s Threat Intelligence Group flagged a previously unknown software ...

Microsoft Threat Intelligence said attackers placed malicious code inside a Mistral AI download distributed through a Python ...

Google's GTIG identified the first zero-day exploit developed with AI and stopped a mass exploitation event. The report documents state actors using AI for vulnerability research and autonomous ...

Google says attackers are using AI for zero-day research, malware development, reconnaissance, and access to premium AI tools ...

Google found the first known zero-day exploit it believes was built using AI. The exploit targets two-factor authentication (2FA) on an open-source admin tool. State sponsored hackers from China and ...

Criminal hackers have used artificial intelligence to develop a working zero-day exploit, the first confirmed case of its ...

Google Threat Intelligence Group details how cybercriminals attempted to launch a campaign based around an AI-developed ...

Fake OpenAI Privacy Filter hit #1 on Hugging Face with 244,000 downloads, spreading infostealer malware to Windows users.

Google threat intelligence claims to have identified the first known case of cyber attackers using AI to help develop a zero-day exploit. Elsewhere, LLMs are being used to hide malware and create ...

A malicious repository on Hugging Face impersonated OpenAI’s “Privacy Filter” project and briefly reached the platform’s top trending position before removal ...