Agentic AI Security 101
Agentic security is the practice of controlling what AI agents can reach and do inside a company's systems. These short explainers answer questions IT and security teams ask us about AI agent access.
Back to Knowledge HubAgent visibility and risk
What Are the Security Risks of Autonomous AI Agents?
Four security risks come up most often with autonomous AI agents: agents running with more access than their task needs, instructions hidden in content they read, tools that change after they're approved, and logs that can't show which agent acted.
Why Do You Need a List of All AI Agents and the Data They Can Reach?
A list of AI agents, often called an AI agent inventory, shows IT which agents can reach company data and whose access each one uses. Here are the risks of running agents without one, and what each record needs.
How Do You Find the AI Agents Already Running in Your Systems?
AI agent discovery is the process of finding the AI agents that have access to a company's systems. Here's where agents get access, the risk in each place, and where IT can look to find them.
How Do You Keep Control of AI Agents That Business Teams Build?
Teams that keep control without slowing adoption put a few checkpoints on every agent. They find agents where they turn up, record who is responsible for each agent before access is granted, keep the ability to shut off one agent alone and record who each action was for. Business teams keep building, and security can answer who acted and for whom.
Agent identity and authentication
How Does AI Agent Authentication Work?
AI agent authentication works the way an app signs in. An agent can't type a password or answer an MFA prompt, so it presents a credential issued to it, such as an API key or a token that expires after a short time. When it acts for a person, the request also carries that person's identity, so each system knows which agent acted and for whom.
How Is an AI Agent Identity Different from a Service Account?
Treat an AI agent like a service account with two additions. Give each agent its own identity so teams can trace and retire it, and carry the requesting user on each request so the agent can reach only what that person can. Without the second part, everyone who uses the agent gets the account's full access.
How Are Enterprises Handling Agentic AI Security?
Most enterprises treat AI agents like other non-human identities, relying on the identity and AI platform controls they already have. Those controls were built for software that runs the same job every time. AI agents are non-deterministic, so the same access can lead to different actions. Without a check on each action, security teams tend to be cautious and limit agents to low-risk work, which slows adoption.
Agent access control
What Is AI Agent Access Control?
AI agent access control is the policy that decides which tools and data an AI agent can use, and what it can do with them. Rules built for people don't fit agents that run at machine speed, so here's what to check on every action instead.
How Much Access Should You Give an AI Agent?
An AI agent should get the smallest set of permissions that still lets it finish its task, for only as long as the task runs. Here's how to decide how much access an agent needs, why agents often end up with more, and how to limit it.
What Is an MCP Gateway?
An MCP gateway is a control point between your AI agents and your MCP servers, so security teams can see and manage every agent's tool access in one place instead of on every laptop. It combines many MCP servers behind one URL and handles sign-in and logging. Some MCP gateways, such as SecureAuth MCP Authority, also authorize every tool call against the agent and the person it acts for.
What Are the Best MCP Gateways in 2026?
The best MCP gateways in 2026 connect to your identity provider and check every tool call against both the delegating user and the agent, so access ends on the agent's next call. Most gateways already cover routing and SSO, so compare how they behave after sign-in. Two quick tests show the difference.