SN 1094: AI Patching Shortcomings - Should You Trust AI-Generated Code?

AI-generated code is flooding the industry, but researchers reveal that almost half of it contains critical vulnerabilities. This week, we unpack what happens when the race for automation outpaces security best practices.

• A possible means for preventing prompt injection abuse.
• Clear evidence of Chinese-made router malicious intent.
• A cool before and after SpinRite graph of SSD performance.
• How about adding unpredictable hashes to role tags?
• What did Claude make of last week's podcast?
• Could much better harnesses prevent prompt injection?
• A listener wants us to stop saying AI "thinks".
• AI designers ignore well-understood security concepts.
• Can we explain LLM AI using conventional computer terms?
• A listener strongly dislikes the term "rotating credentials".
• The land of AI is being filled with "meat proxies".
• Researchers exhaustively test frontier model vulnerability remediation. (hint: It does not go well.)

Show Notes - https://www.grc.com/sn/SN-1094-Notes.pdf

Hosts: Steve Gibson and Leo Laporte

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For 16kbps versions, transcripts, and notes (including fixes), visit Steve's site: grc.com, also the home of the best disk maintenance and recovery utility ever written Spinrite 6.

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