Continuous security

Continuous security scanning on every commit and deploy

Shift-left scanning on commits and deploys with live dashboards, webhooks, and severity gates.

Infronest product screenshot (contvapt)
In short

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.

Product proof

Already live in the product

Infronest module
Protected app route: /vapt-realtime

This engagement can align with shipped product capabilities in your tenant workspace.

Platform

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
Infronest product screenshot (contvapt_b)
Capabilities

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
Infronest product screenshot (contvapt)
Workflow

What teams can do here

  1. Step 1Connect Git provider
  2. Step 2Set thresholds
  3. Step 3Gate releases
  4. Step 4Alert on criticals

How it works

  1. 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.

  2. 02

    Set severity thresholds

    Define the gate: which severities are allowed to pass and which should fail the pipeline. Policy can differ per repository.

  3. 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.

  4. 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.

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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.
Any of them. Webhooks let you fire scans on commit, on pull request, or on deploy, and you can also schedule runs. You pick the events per repository so scanning matches how your team ships.

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.