As we have in previous editions of the ThreatStats report, we highlight the industry’s top API-related attacks and trends. New to this version, however, is a detailed analysis of API attacks targeting AI-based applications, representing a new and rapidly expanding threat vector. And while we encourage you to download the full report, here are some key observations about what you’ll find within. API threats to AI applications are clearly on the rise In Q1, we saw three potentially damaging, highly concerning potential exploits targeting APIs leveraged by AI applications. While the number may not seem high relative to the overall API threat landscape, they highlight a significant trend of increasing API threats to AI applications and equal the total number identified in all of 2023. With the incredibly rapid acceleration of organizations leveraging AI/LLMs for use in enterprise applications and accelerating the Software Development Lifecycle (SDLC), we see this problem continuing to grow in the immediate future. Know what to look for with AI API threats Although organizations are aware that AI has the potential to introduce new threats, most don’t yet have a clear picture of where those threats will come from or what to look for. Most early hype revolves around issues with AI-generated code, attacks on the embedded Open AI systems (prompt injection attacks, etc.), or AI-generated misinformation. But these are relatively new issues that don’t yet have well-defined…Read More