Adversary emulation
Turn approved objectives into repeatable attack scenarios across identity, application, API, cloud, and AI surfaces.
Built for offensive teams
Give your Red Team more validated shots on goal.
DeepScan coordinates autonomous agents across approved objectives, proves exploitability, and returns complete attack evidence—without taking judgment away from the operator.
Red Team capacity
Scale offensive depth, not coordination overhead.
Assign more approved objectives in parallel while the coordinator preserves discoveries, evidence, and operator direction.
Exploit validation
Reproduce high-risk findings and prove impact before the team spends time escalating or remediating them.
Business-logic testing
Follow multi-step workflows, state changes, and trust boundaries that signature-based scanners rarely understand.
Identity and tenant boundaries
Test roles, authorization, object ownership, administrative workflows, and cross-tenant exposure.
AI and LLM red teaming
Assess prompt injection, retrieval boundaries, unsafe tool use, sensitive context, and excessive agency.
Continuous retesting
Replay the original proof path after remediation and keep closure evidence attached to the finding.
Controlled offensive workflow
One traceable path from objective to report.
Every mission stays connected to its scope, decisions, evidence, and validation state.
- 01
Scope
Set objectives, targets, credentials, and safety boundaries.
- 02
Discover
Map applications, APIs, identities, workflows, and exposed paths.
- 03
Coordinate
Assign focused missions while preserving shared context.
- 04
Attack
Explore and chain weaknesses inside the approved scope.
- 05
Validate
Independently reproduce exploitability and business impact.
- 06
Report
Package evidence, remediation, and retest status.
Operator attack trace
Follow the chain. Inspect the evidence. Keep control.
Use the technical view as an offensive workbench: review each decision and reproduction step, then switch to the outcome view without creating a second source of truth.
Confirmed finding
High · CVSS 8.1Broken object-level authorization exposes customer records
Business view
Endpoint discovered
The API agent mapped an object endpoint used by the customer workspace.
- Overall risk
- High · confirmed
- Affected asset
- Customer API
- Business impact
- Cross-tenant data exposure
- Priority action
- Enforce object ownership
AppSec handoff
Turn offensive proof into engineering action.
Validated findings move into AppSec with reproduction, impact, remediation guidance, and the original proof path ready for retesting.
Explore continuous DASTChoose the delivery model
Run DeepScan yourself—or add expert capacity.
Operate the platform directly, or bring in expert delivery when the scope needs a formal pentest engagement.
Governance and safety
Autonomy inside boundaries you control.
Operators retain scope, approvals, pause controls, visibility, and the final call on how evidence is used.
- Approved targets
- Operator steering
- Non-destructive validation
- Complete activity log
- Secret redaction
- Audience-aware evidence
Questions
Red Team operating questions.
How DeepScan fits an existing offensive-security program.
Does DeepScan replace a Red Team?
No. DeepScan adds autonomous exploration and validation capacity while operators retain objectives, scope, approvals, and judgment.
Can operators steer an assessment?
Yes. Teams can define objectives and guardrails, review evidence, and redirect work as the attack surface becomes clearer.
How does proof reach AppSec?
Validated findings carry reproduction, impact, evidence, remediation guidance, and retest history into the engineering workflow.
Can experts deliver the pentest?
Yes. DeepScan delivers CREST Certified pentests through CyberImmune when an expert-led engagement and formal report are required.
Start with proof
Put autonomous capacity behind your next objective.
Start with an approved target and see how far validated exploration can go.