When an engineer discovers that an AI system has generated a fabricated attack piece targeting them personally, the incident stops being theoretical and becomes an urgent warning about how adversarial ...

In machine learning, privacy risks often emerge from inference-based attacks. Model inversion techniques can reconstruct sensitive training data from model outputs. Membership inference attacks allow ...

Recent research from Carnegie Mellon and Anthropic shows that AI, using tools like Incalmo, can autonomously carry out complex cyberattacks with worryingly high rates of success. Machine-speed AI ...

One malicious prompt gets blocked, while ten prompts get through. That gap defines the difference between passing benchmarks and withstanding real-world attacks — and it's a gap most enterprises don't ...

Security researchers have devised a technique to alter deep neural network outputs at the inference stage by changing model weights via row hammering in an attack dubbed ‘OneFlip.’ A team of ...

What happens when artificial intelligence becomes the mastermind behind a global cyberattack? This unsettling scenario recently unfolded as Anthropic uncovered a sophisticated AI-driven assault ...

The rise of artificial intelligence (AI) has transformed industries from healthcare to finance, but one area where its influence is both promising and perilous is cybersecurity. By Avinash Gupta, head ...

This voice experience is generated by AI. Learn more. This voice experience is generated by AI. Learn more. Prompt injection attacks can manipulate AI behavior in ways that traditional cybersecurity ...