What are the key steps for securing AI citations from platforms like Gemini?

Key steps for securing AI citations from platforms like Gemini include:

Understanding and Mitigating Safety Risks: Assess potential harms, such as generating offensive content, and adjust model outputs to align with acceptable standards. Consider providing input methods that facilitate safer outputs and blocking unsafe inputs. (Gemini API - Google AI for Developers)
Implementing a Zero-Trust Architecture: Establish separate security domains for Gemini, isolating it from direct access to sensitive repositories. Implement proxy layers for authentication, authorization, and logging, and apply content filters to both inputs and outputs. (metomic.io)
Building Specialized Detection for AI-Specific Threats: Develop custom detection rules for unusual AI interaction patterns and implement specialized forensic capabilities for AI incidents. (metomic.io)
Redesigning Access Controls: Implement granular control over data flows and ensure continuous verification at every interaction point. (metomic.io)
Data Governance: Implement strong data governance by enforcing strict access controls, maintaining detailed records, and continuously validating inputs to prevent data poisoning attacks. (mindgard.ai)

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