ActiveFence

ActiveFence runs automated adversarial tests against models and agents to identify vulnerabilities before production deployment. It feeds red-team findings into guardrails, updating runtime protections with real attack patterns.

The software enforces runtime controls and observability across ‘GenAI’ applications to block malicious prompts, data leaks, and policy violations in real time. It provides multilingual, multimodal detection that continuously evolves as threats and model behaviours change.

The system monitors and blocks malicious inputs and outputs across text, audio, image, and video modalities to protect brand safety and user trust. It correlates behavioral signals and threat intelligence to identify sophisticated misuse such as impersonation, misinformation, or synthetic deepfakes.

The platform performs proactive vulnerability identification and model hardening through red-teaming and evaluation datasets to reduce exploitation risk. It supplies compliance evaluation tooling and reporting to map model behavior against evolving legal and regulatory requirements.