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Overview
ActiveFence is an extensive cybersecurity software that offers real-time guardrails and multimodal observability that protect ‘GenAI’ agents from prompt injections and data leaks. While the platform may provide limited mobile app accessibility, its automated red-teaming and model hardening boost pre-launch testing and continuous mitigation.
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Starting Price
Custom
ActiveFence Specifications
Vulnerability Management
Threat Intelligence
Cloud Security
Intrusion Detection
What Is ActiveFence?
ActiveFence software is a cloud-based cybersecurity software that provides continuous safety and security for ‘Generative AI’ by enforcing real-time guardrails, monitoring multi-modal inputs and outputs, and stopping malicious or out-of-policy model behavior. It performs automated red-teaming and model hardening to uncover vulnerabilities for pre-deployment and feeds findings into runtime protections. The platform combines threat intelligence, underground monitoring, and multimodal detection to block fakes, prompt injections, and harmful content while preserving forensic context for compliance and reporting.
ActiveFence Pricing
ActiveFence Integrations
ActiveFence software integrates with a wide range of apps, including:
- AWS Supply Chain
- Databricks
- Nvidia Omniverse
- Openpolicy
- Reality Defender
- Accenture Consulting Services
- Modulate
Who Is ActiveFence For?
ActiveFence is suitable for the following businesses:
- GenAI enterprises
- Digital marketing agencies
Is ActiveFence Right For You?
ActiveFence software is suitable for businesses aiming to deploy ‘GenAI’ or LLM-based products while maintaining brand safety, regulatory compliance, and user trust. It enforces runtime guardrails, delivers automated red-team findings, and provides model hardening and observability to reduce misuse, data leaks, and adversarial manipulation.
Still not sure if ActiveFence is right for you? Contact our customer helpline at (661) 384-7070 for further guidance.
ActiveFence Features
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.
