Require explicit authority for consequential actions
Risk evaluation covers model content, prompt injection, tool permissions, data leaks, provider failure, human misuse and rollback readiness. Organizational controls depend on implementation and deployment.
02
Evaluate model and tool risks together
ELP GPT connects proprietary engineering to responsible, task-specific customer outcomes.
03
Prioritize transparency when limitations are material
ELP GPT connects proprietary engineering to responsible, task-specific customer outcomes.
THE ELP GPT PERSPECTIVE
Safety approach — engineering and execution
Security controls are part of the architecture, not a blanket claim of invulnerability.
The safety architecture distinguishes generating a suggestion from executing a consequential action. Access to connected systems is permissioned; systems require appropriate identity checks, scope checks and review for higher-impact actions.
ELP GPT is developed by ELP Ventures. ELP-owned software and model research are distinct from independently owned inference services, third-party libraries and intellectual property. Specifications, availability and comparative performance depend on the deployed configuration.