How to protect against hidden attacks on AI systems

𝗜𝗻𝗱𝗶𝗿𝗲𝗰𝘁 𝗣𝗿𝗼𝗺𝗽𝘁 𝗜𝗻𝗷𝗲𝗰𝘁𝗶𝗼𝗻 𝗵𝗮𝘀 𝗯𝗲𝗰𝗼𝗺𝗲 𝗼𝗻𝗲 𝗼𝗳 𝘁𝗵𝗲 𝗺𝗼𝘀𝘁 𝗰𝗼𝗺𝗺𝗼𝗻 𝗮𝘁𝘁𝗮𝗰𝗸 𝗽𝗮𝘁𝘁𝗲𝗿𝗻𝘀 𝘄𝗲 𝘀𝗲𝗲 𝗮𝗰𝗿𝗼𝘀𝘀 𝗿𝗲𝗮𝗹 𝗔𝗜 𝗱𝗲𝗽𝗹𝗼𝘆𝗺𝗲𝗻𝘁𝘀. The reason is simple. These attacks enter through the places teams rarely look. Hidden instructions sit inside the data your AI consumes every day. Webpages. PDFs. Emails. #MCP metadata. #RAG documents. Memory stores. Code comments. Once the model reads the poisoned content, the instructions blend into its context and shape behavior without any user interaction. Here is what the lifecycle actually looks like: 1️⃣ 𝗣𝗼𝗶𝘀𝗼𝗻 𝘁𝗵𝗲 𝘀𝗼𝘂𝗿𝗰𝗲 2️⃣ 𝗔𝗜 𝗶𝗻𝗴𝗲𝘀𝘁𝘀 𝘁𝗵𝗲 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 3️⃣ 𝗜𝗻𝘀𝘁𝗿𝘂𝗰𝘁𝗶𝗼𝗻𝘀 𝗮𝗰𝘁𝗶𝘃𝗮𝘁𝗲 4️⃣ 𝗧𝗵𝗲 𝗺𝗼𝗱𝗲𝗹 𝘁𝗿𝗶𝗴𝗴𝗲𝗿𝘀 𝗵𝗮𝗿𝗺𝗳𝘂𝗹 𝗯𝗲𝗵𝗮𝘃𝗶𝗼𝗿 We have published a full breakdown of how these attacks unfold in practice, why #agentic systems amplify the impact, and which architectural controls help reduce the risk. If you are building or securing #GenAI applications, this is a pattern worth understanding early. 🔗 𝗟𝗶𝗻𝗸 𝘁𝗼 𝘁𝗵𝗲 𝗳𝘂𝗹𝗹 𝗮𝗿𝘁𝗶𝗰𝗹𝗲 𝗶𝗻 𝘁𝗵𝗲 𝗰𝗼𝗺𝗺𝗲𝗻𝘁 𝗯𝗲𝗹𝗼𝘄 👉 𝘐𝘯𝘥𝘪𝘳𝘦𝘤𝘵 𝘗𝘳𝘰𝘮𝘱𝘵 𝘐𝘯𝘫𝘦𝘤𝘵𝘪𝘰𝘯: 𝘛𝘩𝘦 𝘏𝘪𝘥𝘥𝘦𝘯 𝘛𝘩𝘳𝘦𝘢𝘵 𝘉𝘳𝘦𝘢𝘬𝘪𝘯𝘨 𝘔𝘰𝘥𝘦𝘳𝘯 𝘈𝘐 𝘚𝘺𝘴𝘵𝘦𝘮𝘴 👉