AI has certainly disrupted the cyber landscape, unlocking avenues for task automation and process optimization. But as companies and SaaS providers embrace these capabilities, the surge in associated cyber risks raises a pressing question: How prepared are we to navigate the potential threat of AI and LLMs?
Joseph Thacker, Sr. Offensive Security Engineer with AppOmni Labs, the industry leading SaaS threat research unit, says: “The biggest security risk of implementing AI and LLM features into applications is exposing them to sensitive data or state-changing actions. The hard thing about that, though, is the fact that there is a huge financial incentive to do so.”
If a SaaS provider incorporates AI into their features, malicious actors can perform prompt injection attacks. They can deceive the AI to deviate from the intended actions as dictated by the system’s backend and gain access to sensitive company data.
Security and IT teams must discuss and configure new methodologies for how to secure AI and LLMs. Given the unique features of these systems, relying solely on writing code to give AI instructions on navigating security threats is insufficient. Instead, security and…
