Mitsubishi Electric Corporation (TOKYO: 6503) announced today that it has developed the manufacturing industry’s first multi-agent AI technology that leverages an argumentation framework to ...

Intrusion detection systems, long constrained by high false-positive rates and limited adaptability, are being re-engineered ...

F5's Guardrails blocks prompts that attempt jailbreaks or injection attacks, for example, while its AI Red Team automates ...

AI hackers don’t sleep — so our defenses can’t either. Digital twins could finally help us hunt threats 24/7, before they hunt us. I recently gave a presentation at SecTor on proactive threat hunting, ...

Cyber security is under intense scrutiny these days, especially as more adversarial AI-based attacks such as Scattered Spider can use a variety of living-off-the-land methods to spread and speed their ...

A research team at Carnegie Mellon University, working in collaboration with AI company Anthropic, has demonstrated that large language models (LLMs) can autonomously plan and execute complex ...

Adversarial machine learning, a technique that attempts to fool models with deceptive data, is a growing threat in the AI and machine learning research community. The most common reason is to cause a ...

Cybersecurity used to be a much simpler game. Companies built strong firewalls, set up antivirus systems and hoped their networks wouldn’t be breached. That model worked for a while, but today, ...

Ranking Member Raja Krishnamoorthi (D-IL) and Chairman John Moolenaar (R-MI) of the House Select Committee on the Strategic Competition Between the United States and the Chinese Communist Party have ...

Many education institutions have a troubling gap in AI security: AI systems affecting students, including minors, deployed ...

A major new systematic review finds that explainability has become the weakest link in the generative AI ecosystem, with ...