AgntID FAQs
Answer-first answers to the questions security and platform teams ask about runtime access control for AI agents.
Basics and definitions
It's a control point that sits between an agent and the tools it calls. It evaluates each tool call at the moment it happens. The agent, the user it acts for, the tool, the action, and the parameters all feed one decision. AgntID allows, narrows, or blocks the call before it runs, then logs it.
It's a diagnostic that maps which agents reach which tools and where the risk sits. The scanner surfaces write-capable tools, over-broad permissions, long-lived credentials, and tool calls with no policy check. It hands security a concrete artifact before any enforcement turns on. AgntID uses it as the low-friction way in.
They're credentials issued for one task and expired when the task ends. The agent never holds a long-lived secret. AgntID mints a short-lived credential at runtime, scoped to the action the policy allows. The underlying secret can stay in Vault, a secrets manager, or cloud IAM.
MCP access control governs what an agent can do through MCP tool calls. An MCP gateway approves and routes the tools. Access control decides whether a specific invocation, with its parameters, is allowed for this agent and this task. AgntID enforces at the invocation, not only at the tool surface.
Observability shows you what the agent did. AgntID decides what the agent is allowed to do before it happens. Traces and evals are retrospective and help you improve the agent. They don't stop a bad tool call. AgntID is the preventive control in front of the action.
No. Agent identity answers who the agent is. AgntID answers whether a specific action should happen right now. Identity is an input to that decision, not the decision itself. You need both, and AgntID owns the action decision.
IAM, RBAC, and incumbents
IAM decides who can log in. AgntID decides what an agent can do once it's already authenticated. IAM fires once at the session boundary. AgntID fires on every tool call, with context IAM never sees. You keep your IdP and add the per-action layer for agents.
No. AgntID sits in the call path your IdP never reaches. Your IdP keeps authentication, identity, and lifecycle. AgntID adds per-action authorization for agents on top of that. Nothing gets ripped out.
Partly. IAM handles authentication and coarse entitlement for the agent identity and grants standing access at the app or account level. It doesn't evaluate the specific action an agent takes at runtime, with specific parameters, against a specific task. That gap is where AgntID operates.
Yes, for identity and lifecycle. They register the agent, issue its identity, and manage its role. They authenticate the agent and grant standing entitlement. AgntID takes that identity as an input and decides each tool call from there. The two work together.
No. IAM decides access once, at login, for a session. AgntID decides at call rate, per action, with the tool parameters in front of it. The volume and the context are different. That's a different architecture, not a heavier IAM.
No. Your roles stay. A role authenticates the agent and grants coarse, standing entitlement. AgntID adds the layer a role can't reach, which runs per tool, per action, per parameter, and per resource at call time. Role goes in, scoped credential comes out.
Workload identity proves the caller is authentic. AgntID governs what that caller is allowed to do. Workload identity answers whether the workload is real and can get a credential without a static secret. It doesn't decide whether this agent should take this action right now. AgntID does.
Common misconceptions
AgntID makes the decision in the call path on structured inputs, not as a heavy service round-trip. The credential is issued once per task and reused across that task's calls. Measured p50 and p99 overhead lives on the latency post. We don't publish a number we haven't measured.
The decision isn't AI-first. Deterministic rules run first, machine learning runs next, an LLM enters only for genuine ambiguity, and a human handles the rest. The layer deciding permissions is far more constrained than the agent it governs.
It runs layered, with rules before any model. Rules first, ML next, an LLM only when the call is ambiguous, human last. The intent check is a narrower, lower-risk decision than the agent's own tool selection. It's a constrained check, not another free-roaming agent.
Far fewer than one per action. Policy packs, control-level presets, and intent handle most of the surface. You start from templates, not a blank grid. AgntID cuts the per-agent, per-tool policy count so granularity doesn't explode.
Only if they're handed a direct endpoint. AgntID enforces on the paths you publish. You expose AgntID proxy URLs and never the raw MCP or tool endpoints. Network policy, service mesh, and egress control pin every agent to the governed path.
Because one tool serves many contexts. Hiding tools is coarse. A single tool can be safe for one parameter set and dangerous for another. AgntID does both. It narrows the advertised tool list by policy, then authorizes the specific call with its parameters.
Static scoping breaks at scale. One tool serves many tasks, and agents connect to many MCP servers. Pre-scoping every agent to a fixed tool set is brittle and drifts out of date. AgntID enforces at the invocation, so control follows the parameters, not the tool name alone.
Observability tells you what went wrong after it happened and won't stop the call. Traces are how you improve an agent, not how you control it. Once an agent takes an action you can't undo, the control has to sit in front of the action. That's what AgntID adds.
Prompt injection is one way an agent takes a wrong action, and the control still sits at the tool call. A well-behaved agent with valid credentials can do damage too. AgntID checks the action against policy no matter why the agent chose it. An injected instruction becomes a blocked call instead of tool abuse.
You verify the chosen call against policy before it runs. The agent proposes an action. AgntID checks the action, its parameters, and the task it claims to serve. If the call contradicts the task or the policy, it doesn't go through.
MCP, tool calls, and credentials
Yes. It coexists, it doesn't replace. The gateway approves and routes tools at the edge. AgntID authorizes the specific invocation, issues the scoped credential, and logs it. It sits behind or alongside the gateway.
They answer different questions. A gateway decides which tools are approved. AgntID decides whether a specific tool action, with these parameters, is allowed for this agent and task. Approve the surface versus control the call.
It doesn't store them on the agent. Credentials are brokered and short-lived. AgntID issues a task-scoped credential at runtime and lets it expire when the task ends. The underlying secret stays in your Vault, secrets manager, or cloud IAM.
No. A denied call fails the way a normal MCP failure does. No stack trace and no extra detail leave the gate. The agent sees a failure, not a map of your policy.
On-behalf-of and authorization
The agent inherits the user's access, which is often too broad. Read-only is usually tolerable. Write is where it breaks. AgntID narrows the agent's capability under that delegation without replacing your backend authorization. User identity stays a claim your backend still checks.
No. AgntID narrows what the agent can do and doesn't re-encode the authorization your backend already enforces. Under on-behalf-of access, user identity stays a claim and your backend keeps enforcing user-level visibility. AgntID constrains the agent's capability, not your app's authorization.
It's an authorization gate with optional token exchange, not a vault. AgntID decides the action first. It can then mint or exchange a scoped credential for that action. Storage stays in your existing secrets infrastructure.
No. Policy and credential brokering are separate layers. AgntID can authorize calls without minting anything, using pass-through. Minting is defense in depth that reduces blast radius. It's an option, not a prerequisite.
Token exchange and IdP fit
AgntID falls back to pass-through or claim reduction. Token exchange narrows a broad token to a task-scoped one where your IdP supports it. Where it's unavailable, AgntID passes the token through or provisions a scoped credential just in time.
Okta, Entra, and OIDC-federated AWS today. AgntID uses OAuth token exchange to narrow a broad token down to a task-scoped one. For IdPs without it, pass-through and just-in-time provisioning cover the gap.
Deployment and architecture
Kubernetes is the current focus, and enforcement runs where the agent runs. Serverless and Lambda support are planned, not generally available yet. State that plainly to any buyer asking about non-K8s runtimes.
No. Central proxy interception is the default and works across frameworks. AgntID enforces on the tool path, so it covers LangChain, Vertex, Copilot, and custom code the same way. A slim SDK is optional for prompt and intent signals, not required to enforce.
No. AgentCore gives you gateways and policies inside AWS. AgntID is the per-action authorization brain across platforms. If your agents run on AgentCore, Bedrock, and Vertex, AgntID applies one control model across all three. First-party per-platform versus cross-platform per-action.
A tool gateway. AgntID controls the tool calls an agent makes and doesn't sit between the app and the model. An LLM gateway manages model traffic, routing, and cost. AgntID manages what the agent is allowed to do with tools.
AgntID runs in your environment and evaluates the tool call and its parameters against policy. It's an access-decision point, not a data export. Nothing has to leave your runtime for a decision to happen.
Vendor comparisons
Aembit is strong at workload identity and secretless access for non-human identities. AgntID starts from the agent's task and enforces per action and per parameter in the call path. The two overlap on credentials and diverge on runtime, task-aware authorization.
Okta Cross App Access governs agent-to-app and app-to-app access centrally through your IdP. AgntID takes that identity and decides each tool call from runtime context and parameters. The IdP holds the policy brain, and AgntID enforces in the call path.
Entra Agent ID handles agent identity and lifecycle inside Microsoft's stack. AgntID adds cross-platform, per-action authorization on top of that identity. Identity and lifecycle on one side, the runtime action decision on the other.
Permit.io is a policy engine. AgntID owns the enforcement point inside the agent tool-call path and can call a policy engine as part of the decision. Policy brain versus agent runtime enforcement.
An MCP gateway approves and routes tools. AgntID controls the actual invocation with its parameters. Which tools exist versus what the agent can do with them.
Product stage and design partners
AgntID is pre-customer and running with design partners. Those include a national bank and the platform team at a large private-equity fund, referenced anonymously at this stage. You can request access on the design partner page.
Request access on the design partner page. AgntID is matching early partners who run agents against real systems. You get the scanner to map your tool-call surface first, then enforcement.
On the roadmap
Not today. AgntID's focus is call-time authorization, which narrows what the agent can invoke. Response and output filtering is a separate layer on the roadmap, not a current guarantee.
Not yet. Policies today are action and resource centric. Using the user as a first-class policy variable is feasible and on the roadmap, not yet designed.