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The AI Didn’t Break the Rules. It Found the Gap.
Google put Gemini into a cybersecurity test. The targets were fake. The companies it hacked were not. During a cybersecurity evaluation in May, Gemini gained unauthorized access to systems belonging to three real companies. In one case it guessed credentials. In others, it found credentials through publicly available information and used them against systems that…
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The AI–Quantum Threat Has Broken MFA. We Need a Fourth Factor: Provenance.
For decades, digital security has rested on a simple, three-pronged triad: Layer a second factor on, call it multi-factor authentication (MFA), and you were considered “secure.” That worked when compute was expensive, attackers were mostly human, and deepfakes were science fiction. It fails fundamentally in a world where: The old security triad isn’t bending. It’s…
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AI vs AI: Why Attackers Still Have the Advantage
Cybersecurity keeps making headlines — not because attackers are getting clever, but because attacks are constant, bigger, and bolder. And yet, in boardrooms and IT shops everywhere, leaders are telling themselves the same comforting lie: “We’re safe. We’ve got the tools.” A few years ago, that tool was EDR. Today, it’s AI. Both promised to…
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When AI Learns to Lie: What ‘The Traitors’ Study Reveals About Deception, Trust, and the Future of Language Models
AI isn’t just answering our questions anymore — it’s starting to play games with us. Literally. In a groundbreaking new study called The Traitors, researchers from the University of Amsterdam created a simulation where large language models (LLMs) take on roles in a deception-based social game. The goal? Measure how well these models can lie…