For decades, security relied on a clean separation between instructions and data. A parameterized query keeps user input from becoming code. Language models erase that line. System prompt, user input and retrieved documents arrive as one undifferentiated token stream with no privilege boundary. That single fact is the root of prompt injection, and it is a vulnerability class, not a bug you can close.
The blast radius grows once a model can act. Agents call tools, browse data and trigger workflows. A poisoned tool description the user never sees, a planted memory, or an instruction hidden in a retrieved web page can quietly redirect what the agent does. Traditional scanners were never designed to see any of this.
Cyron AI Security exists to close that gap, with probabilistic guardrails and structural controls working together. No single AI defense is enough on its own, so we treat guardrails as a layer, not a perimeter.