- Basic security testing
- Single-turn vulnerability detection
- Email support
- Up to 5 AI agents
- Weekly reports
AgentFence is an AI agent security and governance platform that integrates with LLM-driven applications. It enforces customizable policies, real-time monitoring, and comprehensive audit logging to ensure data privacy and compliance. Developers can manage agent permissions, track interactions, and detect anomalies in production environments, reducing operational risk and improving transparency.
Promote this Tool
Update this Tool
AgentFence
AgentFence is an AI agent security and governance platform that integrates with LLM-driven applications. It enforces customizable policies, real-time monitoring, and comprehensive audit logging to ensure data privacy and compliance. Developers can manage agent permissions, track interactions, and detect anomalies in production environments, reducing operational risk and improving transparency.
Ads
What is AgentFence?
AgentFence provides a unified security layer for AI agents, covering policy enforcement, access control, and anomaly detection. It offers SDKs for Python, Node.js, and REST APIs to easily integrate with your LLM applications. With real-time monitoring dashboards and detailed audit trails, compliance teams gain full visibility into agent behavior. Customizable policies let you define allowed actions, data use rules, and user roles. Automated alerts notify stakeholders of policy violations, while historical logs support forensic analysis and regulatory reporting.
Who will use AgentFence?
- AI Developers
- DevOps Engineers
- Security & Compliance Teams
- Enterprise Architects
- Product Managers
How to use the AgentFence?
- Step1: Sign up for an AgentFence account on the web portal
- Step2: Install the AgentFence SDK or configure the REST API in your application
- Step3: Define security and usage policies via the dashboard
- Step4: Integrate policy enforcement hooks into your AI agent workflows
- Step5: Monitor real-time dashboards and set up alerts
- Step6: Review audit logs and compliance reports regularly
Platform
- Web
AgentFence's Core Features & Benefits
The Core Features
- Policy engine for custom rules
- Real-time monitoring and dashboards
- Detailed audit logging
- Access control and role management
- Anomaly detection and alerts
- SDKs for Python and Node.js
The Benefits
- Ensure regulatory compliance
- Reduce security and privacy risks
- Improve transparency into agent behavior
- Accelerate secure AI deployment
- Centralize governance across applications
AgentFence's Main Use Cases & Applications
- Securing customer support chatbots in finance
- Governance for enterprise LLM applications
- Ensuring compliance in healthcare AI assistants
- Monitoring AI-driven HR recruitment bots
- Auditing automated trading agents
AgentFence's Pros & Cons
The Pros
Comprehensive security and functional testing for AI agents
Real-time monitoring of AI systems
Customizable and detailed reporting
Supports multiple AI agents and integrations with popular AI platforms
Open source availability
The Cons
Pricing may be expensive for small projects or startups (starting at $99/month)
Limited public information on potential limitations or drawbacks
AgentFence's Pricing
| Has free plan | No |
|---|---|
| Free trial details | |
| Pricing model | Paid |
| Is credit card required | No |
| Paid from | 99 USD |
| Has lifetime plan | No |
| Billing frequency | Monthly |
Details of Pricing Plan
Starter
99 USDProfessional
299 USD- Advanced security testing
- Multi-turn AI security testing
- Continuous monitoring
- Up to 20 AI agents
- Priority support
- Daily reports
Enterprise
Custom USD- Enterprise-grade security reports
- Advanced attack simulations
- Unlimited AI agents
- Dedicated account manager
- Custom integrations
- SLA guarantees
- On-premise deployment options
FAQs of AgentFence
AgentFence Company Information
- AgentFence
AgentFence Reviews
5/5
AgentFence's Main Competitors and alternatives?
LangChain Guardrails
IBM Watson OpenScale
PromptLayer
Microsoft Azure AI Policy
You may also like:
Run coding agents in a persistent cloud workspace with shared files, previews, team context, and no local setup required.
Diagrid keeps AI agent workflows running through crashes, preserves state, and cryptographically proves every completed execution step.
Run coding agents locally with swappable models, tools, sandboxes, and session logs through a TypeScript plugin runtime.
Loopa is an AI agent platform that automates research, content creation, analysis, and workflow execution.
An autonomous AI agent that executes long tasks across apps, websites, and cloud computers end to end.
Hosted OpenClaw agent: one-click deploy, 500+ models, secure infrastructure, and automated agent management for teams and developers.
Enterprise-ready agent runtime that unifies Discord, web, and terminal with secure RAG, memory, and tool execution.
OpenClaw is an open-source, locally-run personal AI assistant that automates tasks via chat apps and plugins.
Managed Openclaw workspace to deploy local-first AI agents, hire AI staff, and join the Moltbook ecosystem.
CoTester is an enterprise-grade AI testing agent that reliably generates, runs, and self-heals automated tests.
Conversational AI assistant automating research, browser tasks, web scraping, and file management through natural language.
Gobii lets teams create 24/7 autonomous digital workers to automate web research and routine tasks.
AI design agent automates workflow creating images, videos, 3D models up to 10x faster.
SJinn is an AI-powered agent creating image, video, audio, and 3D content from descriptions.
Eigent is an open-source AI workforce platform managing complex workflows via multi-agent collaboration.
NVIDIA Omniverse Audio2Face transforms 3D character animations with AI-driven facial and emotional expressions.