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Attack of the automated ops. [Research Saturday]

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Manage episode 517063764 series 2394076
Content provided by N2K Networks, Inc. and N2K Networks. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by N2K Networks, Inc. and N2K Networks 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.

Today we are joined by Dario Pasquini, Principal Researcher at RSAC, sharing the team's work on WhenAIOpsBecome “AI Oops”: Subverting LLM-driven IT Operations via Telemetry Manipulation. A first-of-its-kind security analysis showing that LLM-driven AIOps agents can be tricked by manipulated telemetry, turning automation itself into a new attack vector.

The researchers introduce AIOpsDoom, an automated reconnaissance + fuzzing + LLM-driven telemetry-injection attack that performs “adversarial reward-hacking” to coerce agents into harmful remediations—even without prior knowledge of the target and even against some prompt-defense tools. They also present AIOpsShield, a telemetry-sanitization defense that reliably blocks these attacks without harming normal agent performance, underscoring the urgent need for security-aware AIOps design.

The research can be found here:

Learn more about your ad choices. Visit megaphone.fm/adchoices

  continue reading

3455 episodes

Artwork
iconShare
 
Manage episode 517063764 series 2394076
Content provided by N2K Networks, Inc. and N2K Networks. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by N2K Networks, Inc. and N2K Networks 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.

Today we are joined by Dario Pasquini, Principal Researcher at RSAC, sharing the team's work on WhenAIOpsBecome “AI Oops”: Subverting LLM-driven IT Operations via Telemetry Manipulation. A first-of-its-kind security analysis showing that LLM-driven AIOps agents can be tricked by manipulated telemetry, turning automation itself into a new attack vector.

The researchers introduce AIOpsDoom, an automated reconnaissance + fuzzing + LLM-driven telemetry-injection attack that performs “adversarial reward-hacking” to coerce agents into harmful remediations—even without prior knowledge of the target and even against some prompt-defense tools. They also present AIOpsShield, a telemetry-sanitization defense that reliably blocks these attacks without harming normal agent performance, underscoring the urgent need for security-aware AIOps design.

The research can be found here:

Learn more about your ad choices. Visit megaphone.fm/adchoices

  continue reading

3455 episodes

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