01
Scope from a prompt
Start with a URL, API, mobile app, cloud scope, AI workflow, or plain-language goal. DeepScan turns it into an approved test plan and rules of engagement.
Platform
DeepScan is the agentic execution layer for offensive security work: scope the target, approve the rules, run coordinated agents, validate exploitability, and ship evidence your engineers, auditors, and customers can use.

Operating model
DeepScan keeps the self-serve entry point simple, then coordinates the repetitive work of discovery, validation, retesting, and reporting so human testers can focus on judgment.
01
Start with a URL, API, mobile app, cloud scope, AI workflow, or plain-language goal. DeepScan turns it into an approved test plan and rules of engagement.
02
Recon, browser, API, exploit-validation, AI security, and reporting agents share context instead of acting like disconnected tools.
03
Findings are pushed beyond possible risk into evidence, impact, reproduction steps, and remediation guidance that engineers can replay.
04
Security teams can approve scope, pause risky actions, review evidence, and request DeepScan-led delivery when a formal report is required.
05
Reports include methodology, rules of engagement, findings, proof, remediation, retest status, and compliance-ready summaries.
06
Evidence can support SOC 2, ISO 27001, HIPAA, enterprise procurement, customer questionnaires, and internal risk reviews.
Agent workflow
Each agent handles a focused part of the workflow, but all context stays attached to the approved scope, target, finding, and report.
How it runs
Tell DeepScan what you want tested.
Confirm scope, credentials, safety limits, and timing.
Agents test, hand off context, and validate real impact.
Receive proof, remediation, retest status, and audit-ready output.
Start self-serve with a target today, or book a DeepScan-led pentest if you need the report delivered for you.
DeepScan delivers agentic pentesting with CyberImmune and CREST Certified partner delivery where required.