--- title: "Agen" url: https://abcaitools.com/agen-ai/ date: 2026-11-03 modified: 2026-11-03 lang: en author: "anantvijaysoni" description: "Agen is an AI agent security and governance platform designed for modern businesses. It helps teams discover connected AI tools, identify who authorized them, and strictly control what actions agents can perform within company systems, ensuring secure, compliant, and safe enterprise AI operations." categories: - "AI Agents" - "Automation" - "Code Generation" tags: - "Agen" - "Agen.co review" - "AI agent alternatives" - "AI agent management" - "AI agent security" - "AI compliance" - "AI governance" - "AI policy engine" - "enterprise AI security" - "Frontegg" - "MCP gateway" image: https://abcaitools.com/wp-content/uploads/2026/11/Agen-AI.webp word_count: 1316 --- # Agen Artificial Intelligence is growing faster than ever. Today, businesses are not just using AI to write emails or summarize documents. They are using "AI agents" that can actually do things on their own, like sending messages, updating databases, or even processing payments. But this brings a big problem: how do we make sure these AI agents do not access things they should not? This is where [Agen by Frontegg](https://agen.co/?utm_source=abcaitools.com) comes in. Agen is an [AI agent](https://abcaitools.com/category/best-general-use-ai-tools/ai-agents-tools/) security and governance platform. It helps teams find connected [AI tools](https://abcaitools.com/proud-look/), identify who authorized them, and control exactly what these agents can do with company systems. It is built for businesses that manage several AI agents or sensitive integrations, rather than someone just looking for a personal [AI assistant](https://abcaitools.com/fyxer-ai/) on their phone. In this article, we will break down what Agen does, how it works, who it is for, and how much it costs, all in simple, easy-to-understand language. ## Why Do We Need AI Agent Security? Imagine giving a new employee the keys to the entire office, including the safe, without knowing what their actual job is. That is what happens when companies let AI agents connect to their systems without proper checks. An AI agent might need to read customer support tickets, but it does not need permission to delete them or access financial records. Without a proper governance tool, these agents can accidentally (or intentionally) cause data leaks, break rules, or make costly mistakes. Agen steps in to act like a smart security guard. It checks the agent’s ID, sees what it is trying to do, and decides if it should be allowed to do it. ## Key Features of Agen ### 1. Find Agents and Their Permissions (Discovery) The first step to securing anything is knowing what you have. Agen’s discovery feature reads authorization and activity records from connected identity providers and AI platforms. It builds a clear inventory showing who owns each agent, what access levels it has, and any potential risk factors. For example, it can help you spot an assistant that has permission to send emails, a forgotten connection to company files, or an agent with much broader access than its actual task requires. It supports major sources like Google Workspace, Microsoft Entra ID, and Okta. It can even identify configured MCP ([Model Context Protocol](https://abcaitools.com/blog/mcp/)) servers on supported Macs through a feature called AgenShield. ### 2. Control Individual Actions (MCP Gateway and Policy Engine) Finding the agents is only half the battle. You also need to control them. Agen uses an MCP gateway and a policy engine to evaluate every action an agent tries to take. Administrators can set up rules to allow an action, request user confirmation, hold it for a human approver, mask sensitive fields, or deny it completely. Every decision is logged with the relevant identity and policy. For instance, a customer support AI could be allowed to read messages, but sending a reply might require human approval, and deleting a message would be completely blocked. Similarly, a finance workflow could pause a payment for a named manager to approve, without giving every AI agent unrestricted payment access. ### 3. The Rule Assistant Writing security rules can be complicated and technical. Agen makes this easier with its "Rule assistant." This feature turns a plain language instruction into a proposed security policy. For example, you could type, "Do not let any AI agent delete customer records," and the assistant will draft the technical rule for you. You still review it before saving, which makes the AI component very useful for setting up controls. However, the final rules still need someone who understands the business process to approve them. ### 4. Approvals, Audit Records, and Deployment When something goes wrong, you need to know why. Agen provides identity-linked audit trails that record exactly what an agent requested, who it acted for, and why a specific decision was made. This evidence can be exported to other security monitoring tools your company might already use. For larger companies, Agen offers enterprise options like hybrid and on-premises data planes, meaning the data does not have to leave your own secure servers if you do not want it to. It is also worth noting that while discovery and the MCP gateway are generally available, some newer features like BrowserShield (which stops sensitive data from being pasted into browser-based AI tools) are still in early access. ## Who is Agen For? Agen is a perfect fit for technical founders, IT managers, and growing teams that need central control over their business AI agents. If your company is starting to use multiple AI tools and you want to keep everything safe and organized, this platform is designed for you. However, it might be overkill for a solo developer or a small business owner who only needs a simple local command approval for their own computer. In those cases, a narrower, simpler tool might be more appropriate and cost-effective. ## Pricing and Fit Agen does not use a simple, one-size-fits-all pricing model like some consumer apps. Instead, it uses sales-quoted pricing based on the number of governed agents, rather than charging per employee seat or action volume. Before committing to a full plan, Agen offers a "discovery engagement." This lets teams assess their current AI inventory and risks before choosing a runtime governance package. It is important to treat this as an evaluation route to see if the tool fits your needs, not as a confirmed ongoing free plan. Here is a simple breakdown of how Agen’s pricing and packaging generally work: | Pricing Tier / Option | Target Audience | Key Features Included | Pricing Model | | --------------------- | --------------- | --------------------- | ------------- | | **Discovery Engagement** | Teams evaluating AI security | Agent inventory assessment, risk factor identification, connected source analysis. | Custom / Evaluation (Not a permanent free plan) | | **Standard Governance** | Growing teams and startups | MCP gateway access, basic policy engine, rule assistant, standard audit trails. | Sales-quoted (Based on number of governed agents) | | **Enterprise Plan** | Large organizations and regulated industries | Hybrid/on-premises data planes, advanced audit exports, priority support, BrowserShield (early access). | Custom Sales Quote | *Note: Because pricing is customized based on your specific needs and the number of agents, you will need to contact the Frontegg sales team for an exact quote.* ## Pros and Cons of Agen **Pros:** - Provides clear visibility into all AI agents and their permissions. - Easy-to-use Rule Assistant translates plain English into security policies. - Strong audit trails help with compliance and security reviews. - Integrates well with major identity providers like Google, Microsoft, and Okta. **Cons:** - Pricing is not publicly listed, which can be a hurdle for small budgets. - Some advanced features, like BrowserShield, are still in early access. - Might be too complex for individuals or very small teams. ## Final Thoughts Agen by Frontegg is a powerful and necessary tool for the modern workplace. As AI agents become more common, the risk of accidental data leaks or unauthorized actions grows. Agen does not make every agent safe simply by being connected; enforcement depends on supported integrations, routed actions, and configured policies. However, its audit records and compliance mappings can strongly support a security review. If your business is serious about using AI agents responsibly, investing in a governance platform like Agen is a smart step forward. It gives you the peace of mind that your AI is working for you, safely and securely. ## Alternatives to Agen **[HOL Guard](https://abcaitools.com/hol-guard/)** Provides local policy checks, secret scanning, and approval controls for supported AI coding agents. It is ideal for development teams wanting to keep code repositories safe from unauthorized AI changes. **iDox.ai Guardrail** Focuses on endpoint controls that detect, block, or anonymize sensitive data sent to AI services. It is highly effective for preventing accidental data leaks through copy-pasting or direct uploads. **Permit.io** Offers a comprehensive access management platform with specific features for governing non-human identities like AI agents. It allows for granular, real-time policy enforcement across enterprise applications. **AgentSec** A dedicated security platform built to protect AI agents from prompt injection attacks and unauthorized data access. It provides real-time monitoring to ensure AI agents only perform approved, safe actions.