AI Security Vulnerabilities in SaaS Products

This technical report discusses the security vulnerabilities associated with AI integration in Software as a Service (SaaS) products. It outlines how the shift from traditional software security to AI-driven systems alters the product threat model. The report identifies various AI security risks, including input manipulation, sensitive data leakage, and permission mismatches. It emphasizes the need for teams to understand the new attack surface introduced by AI, which encompasses not only code and infrastructure but also user interactions and system behavior. The document further details the importance of designing workflows that incorporate AI security considerations, such as operational monitoring and user guidance. It highlights the necessity of building practical guardrails across product development, UX, engineering, and quality assurance processes. The report is based on insights from a webinar hosted by Glorium Technologies, featuring discussions on real-world AI security risks and strategies for enhancing product security in AI applications.