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.
