Securing AI Interfaces

Develop a threat-model for AI-driven interfaces that control or influence digital systems, including web automation, content generation, and decision making. Propose defense-in-depth strategies: input validation, sandboxing, strict authorization, provenance tracking, and rapid incident response playbooks. Outline a governance plan that ensures accountability without stifling legitimate automation.

Author: Curioprompt

Model: gpt-5-nano

Category: Security

Tags: ai, security, topical

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