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Trace every prompt to its source.
Whether a prompt comes from an employee, a service account, or an autonomous AI agent — AccuroAI attributes every interaction to the exact identity, session, and action chain that produced it.
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Feature · User & Agent Attribution — AccuroAI dashboard
Sound familiar?

The problems this exists to solve.

Alerts without an owner
A detection that can't name a user or an agent is a dead end. Investigations stall at 'someone, somewhere, pasted something.'
Agents hide behind service accounts
Autonomous agents share credentials and API keys, so activity blurs into one anonymous identity nobody can hold accountable.
Access reviews can't see AI
Quarterly reviews cover the systems you provisioned. AI usage — human or agent — never makes the list.
Capabilities
Built for enterprise AI.
Human identity attribution
Every employee prompt tied to their SSO identity, team, and role — regardless of which AI app or device they used.
AI agent identity
Service accounts, API keys, and agent identifiers tracked separately. Every autonomous action attributed to the agent and its triggering session.
Full interaction chains
Multi-hop agent workflows — tool calls, RAG retrievals, sub-agent invocations — linked into a single auditable chain.
Immutable audit log
Forensic-grade records with tamper-evident timestamps. Chain of custody for every prompt, every response, every policy decision.
Anomaly detection
Behavioral baselines per user and per agent. Automatic alerts when volume, content, or tool-call patterns deviate.
Incident replay
Reconstruct any interaction exactly as it happened — prompt text, redacted fields, policy outcomes, and downstream agent actions.
In practice

How it works for your team, day to day.

01

Every action has a name on it

Human activity attributes to SSO identity; agent activity attributes to a distinct agent identity rather than a shared service account. Every prompt, tool call, and policy decision lands in the record with an owner attached — which is the difference between an alert and an answer.

Human attribution via your Okta or Entra identity
Agents carry first-class identities, not shared keys
Every event carries user, tool, and policy context
02

From event to full session in one pivot

Attribution makes investigation linear: start from any event and pivot into the complete session timeline — what was asked, what was retrieved, what was redacted or blocked, and what happened next. Forensic replay for agents reconstructs the full action sequence.

Session timelines for humans and agents
Forensic replay of agent action sequences
Investigation time measured in minutes, not meetings
03

Attribution powers policy, not just forensics

Because identity is first-class, policy can be too: groups carry different rules, agents carry scoped permissions per tool call, and access reviews finally have an AI column — who used what, when, and under which policy.

Per-group policies mapped to SSO groups
Capability-scoped agent permissions
AI usage data ready for access-review cycles
FAQ

The questions we hear most.

How does identity mapping work?

Through your existing IdP — Okta or Entra. Users are attributed via SSO; no separate identity store to maintain.

What about shared machines or contractors?

Attribution follows the authenticated identity, not the device — a shared workstation still yields per-person records as long as sessions are authenticated.

How are agent identities established?

Agents register distinct identities with scoped credentials, so two agents built on the same framework remain separately attributable in every log.

What does this mean for employee privacy?

Attribution is metadata-first: who used which tool under which policy. Content access is role-gated and every access to it is itself logged.

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