AIDR vs ITDR: AI Actions Need Identity Context

What is the difference between AIDR and ITDR?

AI detection and response, or AIDR, focuses on harmful activity involving AI applications and agents. That can include sensitive data exposure, malicious instructions, and unsafe tool use. The central question is whether AI activity puts the organization at risk and what action should follow.

Identity threat detection and response, or ITDR, focuses on threats involving human and non-human identities. Its concerns include account takeover, stolen sessions, and misuse of access. It asks whether an identity is being abused and how to contain that abuse.

The categories overlap when AI uses an account, token, or delegated permission to act. Treat these as areas of focus when evaluating products. A category name alone does not establish which applications, identities, or response actions a particular product supports.

Why does AI activity need to be tied to identity?

An AI action has consequences because something gives it access. A browser assistant may act in a signed-in session. A coding agent may use a developer's credentials. A connected AI application may read documents through an OAuth grant. The prompt explains the request. Identity and permissions explain what the actor can reach.

Investigators need to distinguish the person who started a task, the agent that performed it, and the identity used to access a resource. Those can be different actors. AI agent delegation makes that distinction especially important when authority passes between tools and services.

Connecting activity to identity helps answer practical questions. Who owns this agent? Which account approved its access? What data was available? Which permission or session should be revoked? Attribution should preserve uncertainty when the evidence does not establish who initiated an action.

Can an AI incident happen without an account takeover?

Yes. An employee can use a legitimate account to send confidential material to an unapproved AI service. An authorized agent can follow malicious instructions embedded in a document. Neither scenario requires a stolen password or a new sign-in.

Prompt injection illustrates the difference. An agent may have permission to read a document, yet the document may contain instructions that steer it away from its assigned task. Successful authentication does not establish that the resulting action is appropriate.

The reverse also matters. A stolen identity can be abused without any AI involvement. AI controls do not remove the need to investigate identity threats across ordinary business applications. Evaluate both the authority an actor holds and what it does with that authority.

What does a combined investigation look like?

Consider a hypothetical support team using an AI assistant connected to its ticketing system and document repository. An employee asks it to summarize a customer issue. A document contains malicious instructions to include unrelated confidential material in a customer reply.

The AI investigation asks what the assistant read, which instructions influenced the task, and what it attempted to share. The identity investigation asks which account or application accessed the repository, who granted that access, and what permissions remain active.

Together, those facts guide containment. The team may need to pause the assistant, remove the malicious content, revoke the application's grant, or address a compromised user session if evidence supports that conclusion. Resetting the employee's password alone may leave the application's access intact. The investigation should confirm both the affected authority and the result of each response.

Which do you need: AIDR, ITDR, or both?

Prioritize ITDR when the immediate concern is identity compromise across your environment. Prioritize AIDR when the immediate concern is how employees and agents use AI, what data they expose, and which actions they take. Organizations with agents acting through business identities need both perspectives, whether delivered through connected products or a broader platform.

Evaluate the workflow with a representative enterprise task. Ask the provider to demonstrate how an investigator moves from an AI event to the relevant account, agent owner, permission, and affected resource. Then verify that a response reaches the intended target and records its outcome.

Use the comparison below as an evaluation guide. Coverage varies by product, integration, and deployment.

Where Identra fits

Identra brings browser, endpoint and connected provider activity into one identity timeline, where the person is known, with related activity grouped into incidents. Teams can see AI apps and agents, including agents in Microsoft 365 Copilot, Google Workspace and Anthropic with their owners, and review OAuth grants with the app, permissions and grantor. AI agent runs on macOS and Windows are recorded with the user, device, AI client and whether the action was allowed or blocked. Analysts can revoke risky OAuth grants and, with approval, revoke sign-in sessions. Every response records its result.

Frequently asked questions

Related terms

• AIDR vs EDR: Secure the Agent and the LaptopEDR investigates threats on the laptop.→
• AI Agent Identities vs Service Accounts: Access Needs an OwnerA service account gives software an identity for access.→
• Agentic AI Security vs LLM Security: Why Securing the Model Is Not Securing the AgentLLM security protects a model's inputs and outputs: prompt injection, jailbreaks, unsafe responses, and data leakage.→