Attack of the automated ops. [Research Saturday]
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:
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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:
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