Unlocking Password Security in the Age of AI: Insights from Irregular’s Research
The rise of AI has inadvertently compromised cybersecurity, especially in password generation. New findings highlight the inadequacy of passwords created by large language models (LLMs), raising serious concerns.
Key Findings:
- Predictability: Passwords generated by models like Claude, ChatGPT, and Gemini follow predictable patterns, making them easy to guess.
- Entropy Issues: LLM-generated passwords demonstrate significantly lower entropy (about 27 bits) compared to secure passwords (around 98 bits).
- Common Patterns: Researchers observed specific patterns in outputs, like recurring characters, revealing a lack of randomness.
Recommendations:
- Avoid using LLMs for creating passwords.
- Be cautious when relying on AI tools for sensitive tasks.
The message is clear: prioritize password security by steering clear of LLM-generated options!
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