AI Penetration Testing

Bugcrowd's AI Penetration Testing helps organizations uncover application security flaws in AI systems. It uses a testing methodology based on the open-source Vulnerability Rating Taxonomy (VRT).

Key features include:

• Vetted Pentesters: Access to trusted, skilled pentesters.
• 24/7 Visibility: Real-time insights into timelines and findings.
• OWASP Top 10: Testing methodology based on OWASP Top 10 for LLMs.
• Complex Applications: Ability to handle intricate AI applications.
• Standalone & Outsourced LLM: Methodologies for both Standalone LLM and Outsourced applications.
• Detailed Reporting: Comprehensive final reports with retesting.

Use cases include:

• Identifying prompt injection vulnerabilities.
• Detecting data poisoning attempts.
• Preventing model inversion attacks.
• Addressing traditional vulnerabilities in AI applications.