COMPARE / AGNTID VS IAM
AgntID vs Traditional IAM for AI agents
IAM tells you who the actor is. AgntID controls what an AI agent can do the moment it calls a tool. Your IAM stack stays the identity foundation for your users and services. AgntID adds the layer that decides what an agent can do once it starts calling tools.
Identity Foundation
IAM Platform
Execution-time Layer
AgntID
Tool Execution
MCP Tools
The Alternative Options
Do nothing
Run agents under existing service accounts, roles, scopes, or delegated access. This keeps the current IAM model in place. The tradeoff is that access carries across tasks, even when a specific action needs less.
Add a policy engine
Add a general-purpose authorization layer to make runtime decisions. It can evaluate the context supplied with each request. If task, prompt, tool, or argument context should affect the decision, your architecture has to capture and pass it into the policy path. The policy engine only sees the context you provide.
Build custom runtime controls
Build task-aware authorization into the agent runtime. Add tool restrictions, argument checks, credential narrowing, and audit logic around each action. You get full control over the design, but your team owns the integration and maintenance.
Our Difference
Where AgntID differs.
Traditional IAM establishes identity and access before an agent acts. AgntID adds a runtime layer that evaluates each tool call against the task, tool, and arguments before it executes.
Task-aware authorization.
AgntID evaluates the current task, tool, and arguments before deciding whether an action is authorized.
Per-call access narrowing.
Once an action is approved, AgntID narrows access to what that specific call requires instead of carrying broader permissions forward.
MCP-native enforcement.
AgntID evaluates and enforces access in the MCP tool-call path, where the agent's action actually executes.
AGNTID VS. THE ALTERNATIVES
Where each option fits
Each path below fits a real situation. Here's where it holds up, and where AgntID picks up the rest.
AGNTID VS SERVICE ACCOUNTS
Broad Permissions Across Every Task.
Keeping the current IAM model is the simplest path. Agents continue to run under service accounts, roles, scopes, or delegated access. This works well when their access needs are predictable. The tradeoff is that the same available permissions can carry across tasks even when a specific action needs far less. AgntID evaluates the task, tool, and arguments at runtime, then narrows access around the action being performed.
We are best for teams who need to
- Narrow access below an agent's standing permissions.
- Scope each action to the task being performed.
- Stop a compromised agent from acting outside its task.
Service Account
Broad standing permissions
AI Agent
Full account access on every call
Overprivileged by design
AGNTID VS. GENERIC POLICY ENGINES
Policy Only Sees The Context You Pass In.
A general-purpose policy engine can make fine-grained authorization decisions at runtime. It works well for teams that already have authorization infrastructure and want full control over their policy logic. For agent actions, the surrounding architecture has to capture the task, prompt, tool, and argument context and pass it into the decision. AgntID makes that execution context part of the tool-call authorization path.
We are best for teams who need to
- Make task intent part of every authorization decision.
- Evaluate the exact tool and arguments before execution.
- Apply policy directly in the agent-to-tool path.
GENERAL POLICY ENGINE
Evaluates policies you define
MCP TOOL-CALL PATH
AgntID enforces access
Requires custom agent-runtime wiring
AGNTID VS. CUSTOM RUNTIME CONTROLS
DIY Control Means Owning Every Enforcement Decision.
Building your own runtime controls gives you the most flexibility. Your team can add task-aware authorization, tool restrictions, argument checks, credential narrowing, and audit logic around each action. The tradeoff is that you also own the enforcement path, integrations, policy model, testing, and maintenance. AgntID provides that runtime control layer without requiring your team to build and operate it from scratch.
We are best for teams who need to
- Add task-aware controls without building the runtime layer themselves.
- Enforce policy against tools and arguments on each action.
- Keep runtime authorization consistent as agents and tools expand.
IAM Native
Governs agent identity and static access
Build and maintain.AgntID
Adds task-aware controls
No runtime to build.Capability Comparison
Traditional IAM defines who the agent is and what it can access. AgntID adds the runtime layer that decides whether a specific action should be allowed.
| Capability | AgntID | Traditional IAM |
|---|---|---|
Identifies who the actor is AgntID defers identity to your existing IAM; it enforces what the agent can do. | Partial | Yes |
Enforces access at tool-call time Every MCP tool invocation is evaluated independently at execution time. | Yes | No |
Scoped, ephemeral credentials per task Traditional IAM issues standing tokens, not task-scoped ones. | Yes | Partial |
Runtime intent awareness AgntID can evaluate agent intent before granting access to a tool. | Yes | No |
Per-parameter policy enforcement Policies can restrict which arguments an agent may pass to a tool. | Yes | No |
Works with your existing IAM stack AgntID is additive — it does not replace your identity platform. | Yes | Yes |
MCP-native tool discovery AgntID auto-discovers tools and schemas from MCP servers. | Yes | No |
Customer-hosted deployment AgntID runs inside your infrastructure. Not all IAM vendors support on-prem. | Yes | Partial |
Full audit log per tool invocation AgntID logs every decision with full runtime context. | Yes | Partial |
Frequently asked questions.
THE ASK
Request design partner access.
Tell us where your agents are today. We'll follow up to scope a pilot and walk through what changes in your stack.