The Leadership Playbook for LLM Defense
Defend the application around the model: the inputs it trusts, the data it reaches, and the actions it can take.
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Connect model behavior to application controls. Focus on the data, tools, and business actions that turn a bad answer into a consequential incident.
What could a manipulated answer actually cause?
Defend the application around the model: the inputs it trusts, the data it reaches, and the actions it can take.
Give employees a useful approved route for AI work, with clear boundaries for data, integrations, and consequential decisions.
Voice impersonation changes what a familiar call can prove. Build verification into urgent payments, access changes, and sensitive requests.