cyberark agents defenses

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-security firm CyberArk. His team developed an approach based on instruction detection and history-aware validation to protect against … Read more