Context is the central plank of AI in general, and agentic AI in particular. If an AI system doesn’t have the correct context, it cannot make the correct decisions.
Security is moving toward reliance on the autonomous and automatic action of agentic AI. It has little choice. The increasing speed, volume and efficiency of attacks automated by adversarial use of both generative and agentic AI will only be matched by defensive AI with as little slow human intervention (the proverbial man-in-the-loop) as possible.
But defensive agentic AI can get it wrong and make bad decisions through lack of context. We’re not yet ready for fully autonomous AI.
Emanuel Salmona, CEO at Nagomi Security
“The problem that keeps me up at night is simple: an agent is only as good as the context it operates on,” explains Emanuel Salmona, CEO and co-founder at Nagomi Security. “Give it an accurate, correlated view of your environment – your assets, your controls, your exposures, your threat landscape – and it can make decisions that genuinely reduce risk. Give it incomplete data and it will still act. Confidently. Quickly. Incorrectly. Automation without verified context is just a faster way to be wrong at scale.”
