How is this different from a one-time engagement?
A one-time engagement is a scoped, point-in-time assessment with a dated report. Continuous security runs automatically on every change and tracks trend over time, so new regressions are caught between formal assessments.
Already live in the product
This engagement can align with shipped product capabilities in your tenant workspace.
Included in the Infronest workspace
These capabilities ship in the product today—consulting adds human validation and attestation where required.
- Automated web scanning
- Scoped engagements
- HTTP Lab
- Manual & imported findings
- Analyst workbench
- Audit-ready reports

What you get
Delivered with AI-assisted engineering and human review on architecture, security, and production readiness.
- Trigger scans on commit or deploy
- Realtime finding stream
- Concurrent scan management
- Historical timeline per repo

What teams can do here
- Step 1Connect Git provider
- Step 2Set thresholds
- Step 3Gate releases
- Step 4Alert on criticals
How it works
- 01
Connect your Git provider
Wire up GitHub, GitLab or Jenkins through the integrations hub using webhooks, so scans can trigger on the events you choose — commit, pull request or deploy.
- 02
Set severity thresholds
Define the gate: which severities are allowed to pass and which should fail the pipeline. Policy can differ per repository.
- 03
Scan on every change
When the trigger fires, the configured scan profile runs automatically and the results stream to the realtime dashboard. This is shift-left automated scanning, not a continuous human pentest.
- 04
Gate, alert and trend
Builds that breach the threshold are flagged or blocked, criticals raise alerts, and a per-repository timeline shows whether your security posture is improving or regressing over time.
A worked example
A typical setup: a 15-developer platform team wires its main GitHub repository to a webhook and sets the gate to fail on any new high or critical. A pull request bumps a dependency to a version with a known CVE; the triggered scan streams the finding to the realtime dashboard mid-run and the pipeline step fails before merge. The developer pins the patched release, the next run passes, and the repository’s trend line records a regression caught and closed inside a day — instead of surfacing months later in the next scheduled assessment.
Frequently asked questions
See also: VAPT product hub · Remediation & re-test · Pentesting as a service / PTaaS (blog) · VAPT tools compared (blog) · Book a demo
Catch the regression before it merges
Webhook-triggered scans with severity gates turn security from a quarterly event into a pipeline step — every pull request checked, every trend visible.









