ARGUS is an enterprise-grade runtime security solution designed to protect generative AI applications, large language models (LLMs), and autonomous AI agents. It operates as a proactive defense layer that integrates into existing AI architectures to provide continuous oversight, behavioral monitoring, and advanced threat detection. The platform applies real-time guardrails to identify abuse, enforce usage policies, and mitigate live threats such as prompt injections and system prompt leaks.
The system features a low-latency architecture engineered for performance-critical applications, capable of blocking malicious inputs in under 100 milliseconds with zero user-facing latency. ARGUS supports multimodal protection across text, image, and audio interactions in over 100 languages. Utilizing an adaptive feedback loop calibrated from red teaming results, the platform contains compromised agents, blocks malicious triggers, and provides comprehensive logging and end-to-end activity tracing for security auditing.
