Have you established your Generative AI Security Policy for 2024?

1. Risk Assessment: Identify specific risks associated with generative AI in your organisation. This includes data privacy, model misuse, and potential biases.
2. Data Governance: Ensure robust data governance policies. This includes secure data handling, processing, and storage, especially for private data used by AI models.
3. Access Control: Implement strict access controls. Limit who can interact with the AI systems under what conditions and how it can infiltrate your own company systems or supply chains.
4. Ethical Guidelines: Develop clear ethical guidelines for AI usage, focusing on fairness, accountability, and transparency.
5. Monitoring and Auditing: Regularly monitor AI activities for any security breaches or ethical violations. Audits should be conducted periodically.
6. Incident Response Plan: Have a plan for responding to security incidents related to AI, including containment and mitigation strategies.
7. Compliance and Legal Considerations: Stay updated with laws and regulations related to AI and cybersecurity.
8. Continuous Education: Keep your team informed about the latest developments in AI and cybersecurity.

Any AI or security policy should remain dynamic, evolving with emerging AI trends and threats, and how this can affect your company's robustness and security.