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Whisper Leak: How Encrypted AI Chats Still Leak Conversation Topics

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Manage episode 523733088 series 3462572
Content provided by Adopting Zero Trust. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Adopting Zero Trust or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

In this episode, we break down Whisper Leak, a newly disclosed side-channel issue affecting encrypted LLM communications. JBO explains how attackers can infer conversation topics using packet size and timing metadata without breaking encryption. The discussion covers how the research team discovered the issue, how vendors (including Microsoft and OpenAI) mitigated it, and what it means for the future of secure AI systems.

01:30 – What Whisper Leak Actually Is
02:30 – Understanding Side-Channel Attacks
04:00 – Why LLMs Are Uniquely Vulnerable
08:00 – Stream Ciphers vs Block Ciphers
13:30 – “Did You Break Encryption?” Clearing Up Misconceptions
16:00 – Fixes & Mitigations Across LLM Vendors
18:30 – Why Some Vendors Were More Vulnerable Than Others
20:00 – Could High-End Adversaries Still Pull This Off?
24:00 – How API Users Can Protect Themselves
25:00 – Designing LLM Systems with Side Channels in Mind

Guests: Jonathan (JBO) Bar Or, Principal Security Researcher, Microsoft Threat Intelligence, who just joined CrowdStrike

Hosts: Elliot Volkman & Neal Dennis

  continue reading

57 episodes

Artwork
iconShare
 
Manage episode 523733088 series 3462572
Content provided by Adopting Zero Trust. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Adopting Zero Trust or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

In this episode, we break down Whisper Leak, a newly disclosed side-channel issue affecting encrypted LLM communications. JBO explains how attackers can infer conversation topics using packet size and timing metadata without breaking encryption. The discussion covers how the research team discovered the issue, how vendors (including Microsoft and OpenAI) mitigated it, and what it means for the future of secure AI systems.

01:30 – What Whisper Leak Actually Is
02:30 – Understanding Side-Channel Attacks
04:00 – Why LLMs Are Uniquely Vulnerable
08:00 – Stream Ciphers vs Block Ciphers
13:30 – “Did You Break Encryption?” Clearing Up Misconceptions
16:00 – Fixes & Mitigations Across LLM Vendors
18:30 – Why Some Vendors Were More Vulnerable Than Others
20:00 – Could High-End Adversaries Still Pull This Off?
24:00 – How API Users Can Protect Themselves
25:00 – Designing LLM Systems with Side Channels in Mind

Guests: Jonathan (JBO) Bar Or, Principal Security Researcher, Microsoft Threat Intelligence, who just joined CrowdStrike

Hosts: Elliot Volkman & Neal Dennis

  continue reading

57 episodes

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