AI Agents Are Testing the Limits of Zero-Trust Security
TL;DR
This article is brought to you by Queen’s University Belfast. Several teams around the globe are leveraging AI by creating a task force of agents managed by an orchestrator and creating applications to support risk assessment, client profiling, match making, and information yield with a slight overview of decision making. One of the important components for these agents is to ensure that the logs are managed and historic relevance is not being used to avoid skewing towards same decision making.
Nauti's Take
Treat context deletion in agent workflows as a security control that needs adversarial testing. Start by using follow-up prompts designed to recover deleted logs, old customer data, or prior decisions, then inspect the systems that store state outside the visible context.
The article raises a credible risk, but it does not establish how often these attacks work in production.
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