AI-Native vs. AI-Washed: How to Tell the Difference in AppSec Tooling

In 2024, the FTC initiated fines for companies falsely claiming to use AI, targeting deceptive practices like "AI-powered" tools that had little to no real AI integration. This crackdown highlights the trend of "AI-washing," where products are superficially labeled as AI-enhanced without substantial changes to their underlying technology. The text discusses the importance of distinguishing between genuinely AI-native tools, which have AI integrated into their core functions such as detection and analysis, and those that merely use AI for superficial features like user interfaces. It emphasizes the need for rigorous evaluation of AI claims, particularly in application security, where AI-native solutions are essential for addressing the unique challenges posed by AI-generated code. The text advises asking specific questions to determine if AI is integral to a product's architecture or merely a decorative feature, encouraging buyers to ensure that AI truly enhances the tool's capabilities rather than just serving as a marketing gimmick.

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