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Zero Trust for AI Agents
Description
As autonomous AI models accelerate the speed of cyber threats, traditional security perimeters are failing, requiring organizations to adopt a Zero Trust architecture specifically designed for agentic systems. This framework adapts core Zero Trust principles to address novel vulnerabilities—such as prompt injection, tool hijacking, and memory poisoning—by enforcing strict identity-based isolation and shifting from traditional "least privilege" to "least agency". By implementing hard cryptographic barriers, automated incident response, and continuous behavioral monitoring, organizations can effectively contain an attacker's blast radius and operate securely even when a breach inevitably occurs.
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