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HiddenLayer finds decision models open to indirect prompt injection

Original: Decision Models Vulnerable to Indirect Prompt Injection Attacks Researchers at HiddenLayer discovered that decision mode

Researchers at HiddenLayer report that decision models, such as System One, are vulnerable to indirect prompt injection attacks, facing similar risks to autoregressive language models. A simulated test demonstrated how attackers could manipulate these systems' outputs without direct access. The findings suggest that a broader range of AI architectures share security weaknesses previously associated mainly with generative models, prompting renewed concern about deployment safeguards.

Why now: New security research showing a wider class of AI systems can be manipulated raises fresh concerns about AI safety and reliability.

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Evidence

• Decision Models Vulnerable to Indirect Prompt Injection Attacks Researchers at HiddenLayer discovered that decision models, like System One, are surprisingly vulnerable to indirect prompt injection attacks, facing similar risks as autoregressive models. A simulated test even… · Analyst207 · 2

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