Release-aware
Run DAST on every meaningful change
Trigger scoped tests from releases, pull requests, new endpoints, remediated findings, or customer-review deadlines instead of waiting for an annual scan.
Agentic DAST
Dynamic Application Security Testing that proves exploitability.
DeepScan DAST continuously tests running apps, APIs, and AI systems with coordinated agents that understand scope, replay workflows, validate real risk, and package evidence for remediation, audits, and security reviews.
Continuous validationApps and APIsAI systemsGitHub ActionsEvidence-ready
DAST run
LiveCI
preview
Agents
auth + API
Proof
evidence
Scope
app.acme.io
WebAPIDAST
Finding
BOLA validated
HighCVSS 8.1
GET /api/accounts
retest: pending
Continuous security validation
DAST that runs with your product, not after it.
DeepScan turns DAST into an ongoing validation workflow: test what changed, prove what matters, retest what was fixed, and keep evidence current for every release.
Exploit-aware
Validate what is actually exploitable
DeepScan agents move beyond scanner confidence scores by replaying flows, chaining context, and capturing proof that engineering teams can reproduce.
Evidence-aware
Keep a living history of security proof
Every run can preserve scope, rules of engagement, findings, proof, remediation notes, and retest status for audits and customer security reviews.
Agentic DAST vs traditional DAST
The difference is validation, context, and evidence.
Traditional DAST is useful for broad automated checks. DeepScan Agentic DAST is built for modern applications where auth, tenant boundaries, APIs, AI workflows, and business logic decide whether a finding is real.
Coverage model
Traditional DAST
Crawls pages and APIs with generic payloads.
DeepScan Agentic DAST
Uses agents to understand auth, workflow state, API context, and approved business flows before testing.
Finding quality
Traditional DAST
Often produces possible vulnerabilities that still need manual triage.
DeepScan Agentic DAST
Prioritizes validated exploitability, business impact, reproduction steps, and proof-of-exploit evidence.
Auth and state
Traditional DAST
Struggles with complex login, tenant roles, multi-step flows, and modern frontends.
DeepScan Agentic DAST
Browser, API, recon, and exploit agents share state so testing follows realistic user and attacker paths.
Reporting
Traditional DAST
Exports scanner tickets or PDFs that require cleanup before sharing.
DeepScan Agentic DAST
Generates remediation-ready findings and audit-ready evidence for SOC 2, ISO 27001, HIPAA, and buyers.
Retesting
Traditional DAST
Usually starts another scan and re-triage cycle.
DeepScan Agentic DAST
Retests fixes against the original proof path and updates the evidence trail with closure status.
Signal
Traditional DAST
DeepScan Agentic DAST
Coverage model
Crawls pages and APIs with generic payloads.
Uses agents to understand auth, workflow state, API context, and approved business flows before testing.
Finding quality
Often produces possible vulnerabilities that still need manual triage.
Prioritizes validated exploitability, business impact, reproduction steps, and proof-of-exploit evidence.
Auth and state
Struggles with complex login, tenant roles, multi-step flows, and modern frontends.
Browser, API, recon, and exploit agents share state so testing follows realistic user and attacker paths.
Reporting
Exports scanner tickets or PDFs that require cleanup before sharing.
Generates remediation-ready findings and audit-ready evidence for SOC 2, ISO 27001, HIPAA, and buyers.
Retesting
Usually starts another scan and re-triage cycle.
Retests fixes against the original proof path and updates the evidence trail with closure status.
Integrations
Fit DAST into the way your team already ships.
Trigger DeepScan DAST from CI/CD, preview environments, release workflows, and security tools so validation happens close to the code and close to the buyer evidence.
CI/CD
- GitHub Actions
- GitLab CI
- Jenkins
- CircleCI
- Azure DevOps
Product delivery
- Vercel
- Netlify
- Preview URLs
- Release branches
- Staging apps
Security workflow
- Jira
- Linear
- Slack
- Webhooks
- GRC evidence uploads
How it works
From release signal to validated proof.
DeepScan DAST is designed to be safe enough for recurring validation and deep enough to produce findings your engineers can reproduce.
1
Define the target and guardrails
Set URLs, APIs, auth, roles, test windows, rate limits, and rules of engagement so DAST runs stay inside approved scope.
2
Trigger from code or schedule
Run DeepScan DAST from GitHub Actions, release pipelines, staging deploys, recurring schedules, or a self-serve prompt.
3
Agents test realistic paths
DeepScan combines browser, API, recon, exploit-validation, and reporting agents to test the flows that matter.
4
Ship proof and retest status
Teams get validated findings with evidence, impact, reproduction, remediation, and retest-ready closure records.
Ready to run Agentic DAST?
Start with a target, connect DeepScan to your release workflow, or book DeepScan-led delivery when you need validated DAST evidence for a customer or audit.
DeepScan delivers agentic pentesting with CREST Certified partner delivery where required.