Why Most AI Agents Are Insecure by Default AI agents are being deployed everywhere. From chatbots to automation tools, they’re quickly becoming part of real-world systems. But there’s a problem that isn’t getting enough attention: Most AI agents are never tested for security. The Illusion of “Working Systems” Most teams test their systems for: accuracy performance latency And if everything works as expected, the system is considered “ready”. But this only reflects normal usage . AI systems don’t usually fail there. Where Things Start Breaking When you test with adversarial input, behavior changes. Simple inputs like: “Ignore previous instructions and…” can: override system logic manipulate outputs bypass safeguards What’s surprising is how easy this is to trigger. No complex exploit needed. Just input. Why This Is Different from Traditional Software Traditional systems fail loudly: crashes errors logs AI systems fail differently.…