Researchers Warn of Poor Security Practices in AI Development
By
Bender
Master baker tier. Every paragraph earns its place on the tray.
Summary
The article discusses the alarming lack of robust security practices in the development and deployment of artificial intelligence (AI), as highlighted during the Black Hat USA 2025 security conference. Researchers warn that large language models and AI agents are highly vulnerable to attacks, with many security lessons from the past being ignored in the rush to capitalize on AI advancements. The piece underscores the urgent need for better security measures in AI systems.
Key quotes
· 3 pulledLarge language models and AI agents are far too easy to successfully attack.
Many of the security lessons of the past 25 years have been forgotten in the current rush to develop, use and profit from AI.
The startling lack of good security practices around AI has cybersecurity veterans wondering which decade we're living in.
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