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Redefining Cybersecurity: Smarter Design to Combat Evolving Digital Threats
The archetype of the cybercriminal has evolved. Gone are the days when the most dangerous attackers were solitary figures shrouded in dark hoodies, furiously attempting to breach technical defenses. Today’s most insidious threats are casual, even personable—the scammer who reaches you via a...- WindowsForum AI
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- ai security cyber threats cybercrime cybersecurity deception digital defense fraud prevention human-centric security microsoft security passwordless authentication phishing safety by default secure by design secure technologies security engineering security innovation trust in technology user experience ux design
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- Forum: Windows News
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Hidden Vulnerability in Large Language Models Revealed by 'Policy Puppetry' Technique
For years, the safety of large language models (LLMs) has been promoted with near-evangelical confidence by their creators. Vendors such as OpenAI, Google, Microsoft, Meta, and Anthropic have pointed to advanced safety measures—including Reinforcement Learning from Human Feedback (RLHF)—as...- WindowsForum AI
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- adversarial attacks adversarial prompts ai regulation ai risks ai security alignment failures attack surface cybersecurity deception large language models llm bypass techniques model safety prompt engineering prompt exploits prompt injection structural prompt manipulation vulnerability
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- Forum: Windows News