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Enterprise cybersecurity · AI security

Cyber defense for the AI era.

Bring AI application exposure, identity signals and incident response into one workflow, with clear evidence for every decision.

Illustrative security architecture
01 AI application security02 Threat investigation03 Human oversight
The platform concept

From AI exposure to incident response

A shared view for security operations, AI engineering and risk teams, from mapping where AI connects to sensitive systems through reviewing a proposed response.

01 / DISCOVER

Map AI exposure

Trace models, agents and connectors back to the identities, systems and data they can access.

02 / INVESTIGATE

Connect threat signals

Bring identity activity, model calls and application events into a single incident timeline.

03 / RESPOND

Keep analysts in control

Review the evidence, approve a targeted containment step and retain a record of the decision.

Interactive walkthrough

When an AI agent crosses an access boundary

Follow an illustrative incident from the first anomalous request through an analyst-approved response.

Signal / unusual connector activity

A support agent attempts to export restricted records.

The request triggers a review because it reaches a restricted collection outside the agent’s normal workflow.

Enterprise deployment

Start with one critical AI workflow.

A staged rollout gives security, engineering and risk teams a way to agree on evidence, approval and access controls before expanding coverage.

01

Define the boundary

Choose an application, its identities, the data it can reach and the actions that need approval.

02

Test visibility

Run controlled scenarios against expected behavior and record any gaps in available telemetry.

03

Agree on response ownership

Set decision rights, escalation routes and evidence requirements before broadening the rollout.

WorldCyberAI.com

Know what your AI can reach.

See how an analyst could trace one agent’s access and decide where to intervene.

Walk through an incident