The DeepScan platform

From an approved objective to proven risk.

A coordinator maps the attack surface, assigns focused missions, validates exploitability, and keeps every action attached to evidence your team can review.

Operating model

One system for exploration, validation, and proof.

DeepScan carries context forward instead of handing isolated alerts between disconnected tools.

01

Scope from an objective

Turn a target and security goal into an explicit test plan and reviewable rules of engagement.

02

Map the live attack surface

Build shared context across applications, endpoints, parameters, identities, and authentication flows.

03

Coordinate specialist agents

Give focused agents discrete missions without losing discoveries or repeating work.

04

Validate exploitability

Move candidates into reproducible evidence, impact, and remediation—or dismiss them before they create noise.

05

Keep operators in control

Approve boundaries, observe actions, pause execution, and steer the coordinator when judgment is required.

06

Package and reuse evidence

Carry methodology, findings, proof, remediation, and retest status into engineering and assurance workflows.

Specialized agents

Focused missions. Shared attack context.

The coordinator selects the next useful action and gives each specialist the evidence it needs.

Agent 01

Reconnaissance agent

Executes a bounded mission, records its actions, and returns evidence to the coordinator.

Agent 02

Browser exploration agent

Executes a bounded mission, records its actions, and returns evidence to the coordinator.

Agent 03

API authorization agent

Executes a bounded mission, records its actions, and returns evidence to the coordinator.

Agent 04

AI security agent

Executes a bounded mission, records its actions, and returns evidence to the coordinator.

Agent 05

Exploit validation agent

Executes a bounded mission, records its actions, and returns evidence to the coordinator.

Agent 06

Reporting and evidence agent

Executes a bounded mission, records its actions, and returns evidence to the coordinator.

How teams operate it

Prompt. Approve. Execute. Report.

A buyer-level workflow that keeps scope and human control visible from the beginning.

  1. 01

    Prompt

    Describe what you want tested and why.

  2. 02

    Approve

    Confirm targets, credentials, safety limits, and timing.

  3. 03

    Execute

    Agents explore, hand off context, and validate impact.

  4. 04

    Report

    Receive evidence, remediation, and retest-ready records.

Mission control

Observe and steer the work while it happens.

See active missions, context handoffs, validation state, and why the coordinator selected the next test. Pause, redirect, or narrow execution whenever operator judgment matters.

Proof lifecycle

Evidence is a product of the system—not a final formatting step.

Specialist agents contribute to one durable record as a candidate becomes a reproduced, independently validated finding ready for remediation and retest.

01

Discover

A focused agent identifies a credible path.

02

Connect

The coordinator preserves context and chains the next useful action.

03

Validate

A separate check confirms exploitability and business impact.

04

Operationalize

One record carries evidence, remediation, and retest state forward.

Governance and safety

Built for controlled execution.

DeepScan keeps autonomy inside approved scope with operator visibility and reviewable evidence.

  • Explicit rules of engagement
  • Scope and rate controls
  • Operator pause and steering
  • Reviewable activity history
  • Evidence redaction
  • Audience controls

Delivery

Use the platform directly or add expert delivery.

DeepScan delivers CREST Certified pentests through CyberImmune.

What context can DeepScan use?

Teams can provide target URLs, credentials, API specifications, documentation, architecture notes, and explicit testing objectives.

How are findings validated?

A candidate is reproduced against the approved target and attached to evidence before it is treated as a confirmed finding.

Can DeepScan support both self-service and expert delivery?

Yes. Teams can operate the platform directly or request a CyberImmune-delivered expert engagement.

Start with proof

Point DeepScan at an approved target.

Start with context, scope, and a concrete security objective.

Start a pentestSee Red Team use cases