Malicious actors use prompt injection to hijack autonomous agents. Oridio runs a specialized, edge-optimized classifier model to detect adversarial instructions hidden in user input before the payload reaches your LLM.
Prompt injection is the buffer overflow of the AI era. Attackers embed malicious instructions in documents, web pages, or user inputs that agents consume, hijacking the agent's objective. Oridio mitigates this using a multi-vector defense strategy that separates control instructions from data payloads.
Before an LLM processes an input, Oridio analyzes the prompt structure using a battery of adversarial classifiers. It detects common jailbreak patterns, system prompt leakage attempts, and role-playing exploits. Furthermore, by strictly bounding the agent's output schema and intercepting unexpected tool requests, Oridio neutralizes the impact of an injection even if the LLM's raw output is manipulated.