CHEAT SHEET: OWASP's LLM AI Cybersecurity & Governance Checklist

Inspired by the OWASP's LLM AI Cybersecurity & Governance Checklist

Artificial Intelligence (AI) is revolutionizing industries, but it also brings significant security and governance challenges. To navigate these complexities, OWASP (Open Web Application Security Project) has released a comprehensive checklist for AI cybersecurity and governance, specifically focusing on Large Language Models (LLMs) like ChatGPT. Companies like BoxyHQ offer solutions that align with these guidelines, enhancing your AI security posture. Here's a streamlined cheat sheet inspired by the OWASP LLM AI Cybersecurity & Governance Checklist.

Why You Need This Checklist

Implementing AI solutions without robust security measures can expose organizations to various risks, including data breaches, compliance issues, and reputational damage. The OWASP checklist helps organizations mitigate these risks by providing actionable steps to secure and govern AI applications effectively.

1. Understand the Basics

• Responsible and Trustworthy AI: Ensure your AI models are ethical, transparent, and accountable.
• Audience: This checklist is essential for executives, tech leaders, cybersecurity teams, and legal advisors.
• Why a Checklist?: It improves accuracy, defines objectives, and promotes deliberate work, reducing oversights.

2. Key Challenges with LLMs

• Non-deterministic Outputs: LLMs can produce different results for the same input, complicating control and data security.
• Adversarial Risks: LLMs can be manipulated by malicious inputs leading to vulnerabilities like data leaks and biased outputs.

3. Critical Threat Categories

• Data Integrity: Ensure the data used for training and inference is protected and accurate.
• Privacy Violations: Implement measures to prevent unauthorized access to sensitive information.
• Adversarial Attacks: Protect against techniques like prompt injection and model poisoning.

4. Governance and Legal Considerations

• AI Policy: Develop a comprehensive AI policy that includes data governance, usage limitations, and risk management.
• Compliance: Stay ahead of regulations like the EU AI Act and GDPR, ensuring your AI practices meet legal standards.
• Legal Contracts: Review and update EULAs, warranties, and indemnification clauses to cover AI-related liabilities.

5. Security and Privacy Training

• Employee Training: Educate employees about AI security, privacy concerns, and responsible use.
• Specialized Training: Provide specific training for roles like developers, data scientists, and security professionals.

6. Deployment Strategy

• Public vs. Private Models: Decide between leveraging public AI services and developing proprietary models based on your security needs.
• Continuous Monitoring: Implement rigorous monitoring to detect and respond to security incidents promptly.

7. Testing and Validation

• TEVV (Testing, Evaluation, Verification, and Validation): Continuously test AI models throughout their lifecycle to ensure security and reliability.
• Red Teaming: Regularly simulate adversarial attacks to identify and fix vulnerabilities.

8. Documentation and Transparency

• Model Cards: Maintain detailed documentation of your AI models, including performance metrics, potential biases, and limitations.
• Risk Cards: Document potential risks and mitigation strategies associated with AI models.

9. AI Red Teaming

• Adversarial Testing: Simulate attacks to identify vulnerabilities in AI systems and improve defenses.

10. Resources and Tools

• OWASP AI Security and Privacy Guide: A comprehensive resource for securing AI systems.
• MITRE ATT&CK: Use the ATT&CK framework to map out and address potential threats to AI systems.

Conclusion

AI offers immense potential, but it comes with significant security and governance challenges. By following the OWASP LLM AI Cybersecurity & Governance Checklist, organizations can implement robust security measures, ensure compliance, and promote responsible AI use. Stay ahead of the curve by incorporating these best practices into your AI strategy today.

Ready to explore and assess your AI security initiatives? Book a conversation with us today to see how BoxyHQ can help secure your AI applications.

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