Real-time security and governance layer that intercepts prompt injections, tool abuse, and data leaks — without touching your model.
Agent Guard wraps every agent boundary with input and output filters — and streams telemetry to your admin dashboard in real time.
Each threat class is detected by specialized classifiers running at the guard layer in sub-50ms latency.
Occurs when user prompts alter the LLM's behavior in unintended ways — including direct instruction overrides, role-play jailbreaks, delimiter-based injections, Base64-encoded commands, and multi-turn context manipulation.
LLMs risk exposing PII, financial records, API keys, database credentials, and proprietary algorithms through their output. Includes social engineering attempts and training data extraction attacks.
Insufficient validation of LLM outputs before passing them downstream. Detects generated SQL injection, XSS, OS command injection, path traversal, and unsafe deserialization — with and without security warnings.
System prompts may inadvertently reveal API keys, internal rules, permission structures, or filtering criteria. Tests direct requests, translation tricks, Base64 encoding, summarization, and developer mode manipulation.
Run Agent Guard wherever your agents live — fully self-hosted or as a managed cloud API. Same protection, your choice of control.
Deploy Agent Guard directly alongside your agents — on bare metal, VMs, or Kubernetes. Data never leaves your perimeter.
Integrate via a single API endpoint — send agent inputs and outputs, get guard decisions back in milliseconds. No infrastructure to manage.
Track every threat, monitor agent health, and receive real-time alerts — all in a single pane of glass.
Real-time event log from the guard pipeline — every request inspected, every threat flagged.