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How CyberArk Protects AI Agents with Instruction Detectors and History-Aware Validation

To prevent agents from obeying malicious instructions hidden in external data, all text entering an agent's context must be treated as untrusted, says Niv Rabin, principal software architect at AI-sec

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infoq.com
Political Correspondent
Published: 1/20/2026
Updated: 1/21/2026
8 min read
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infoq.com reports on How CyberArk Protects AI Agents with Instruction Detectors and History-Aware Validation

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To prevent LLMs and agents from obeying malicious instructions embedded in external data, all text entering an agent's context, not just user prompts, must be treated as untrusted until validated, says Niv Rabin, principal software architect at AI-se...

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Mike Chen2 hours ago

Finally some real action on climate change. This legislation is long overdue and I hope it passes quickly despite the opposition from oil-dependent provinces.

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Jennifer Walsh3 hours ago

As someone who works in Alberta's energy sector, I'm concerned about the economic impact. The transition fund sounds good in theory but will it actually help workers like me?