Securing AI together: GitLab’s partnership with security researchers
Table of Contents
- The AI security challenge
- Our commitment to transparent collaboration
- Why external research matters for AI security
- Real-World Testing
- Our ongoing commitment
1. The AI security challenge
AI-powered platforms pose security risks such as prompt injection attacks, and GitLab is focused on addressing these to ensure secure AI development.
2. Our commitment to transparent collaboration
GitLab's AI Transparency Center demonstrates our dedication to ethical AI use, including collaborating with security researchers to identify and mitigate threats promptly.
3. Why external research matters for AI security
AI systems present unique security challenges that require diverse expertise, and external research helps us stay ahead of emerging threats and attack patterns.
4. Real-World Testing
External researchers test GitLab systems to simulate real attack scenarios, providing valuable insights into our defense mechanisms' performance under pressure.
5. Our ongoing commitment
GitLab remains committed to providing clear guidance to researchers, swift responses to security disclosures, and sharing learnings with the community to enhance AI security.
The future of AI security relies on collaboration between organizations like GitLab and the security research community. Together, we can harness AI's potential for innovation while safeguarding customers and users. GitLab appreciates the partnership with security researchers and welcomes those interested in contributing to our security efforts. Contact me through the Black Hat mobile app or on LinkedIn to get involved.