AI is rewriting how we build software and it’s quietly breaking how we secure it. Traditional AppSec tools were built to scan code. But AI-powered applications don’t just run… they reason, respond, and evolve.
𝗧𝗵𝗮𝘁 𝗺𝗲𝗮𝗻𝘀 𝘀𝗲𝗰𝘂𝗿𝗶𝘁𝘆 𝘁𝗲𝗮𝗺𝘀 𝗻𝗼𝘄 𝗻𝗲𝗲𝗱 𝘃𝗶𝘀𝗶𝗯𝗶𝗹𝗶𝘁𝘆 𝗯𝗲𝘆𝗼𝗻𝗱 𝗰𝗼𝗱𝗲: 👉 Which AI models are in use 👉 What data and prompts shape behavior 👉 What we’re actually shipping to users — via an AI Bill of Materials (AI BoM)
If you’re still relying only on SAST, SCA, and classic scanners, you’re missing a growing part of the attack surface: AI behavior itself.
The future of AppSec isn’t just about finding vulnerabilities in code, it’s about understanding, testing, and governing AI systems end-to-end.
𝗦𝗵𝗮𝗿𝗶𝗻𝗴 𝘀𝗼𝗺𝗲 𝘁𝗵𝗼𝘂𝗴𝗵𝘁𝘀 𝗼𝗻 𝗵𝗼𝘄 𝗔𝗽𝗽𝗦𝗲𝗰 𝗶𝘀 𝗲𝘃𝗼𝗹𝘃𝗶𝗻𝗴 𝗶𝗻 𝘁𝗵𝗲 𝗔𝗜 𝗲𝗿𝗮 👇
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