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How it works

From first connection to prioritized risk in hours

No agents to roll out across the estate before value appears. Connect read-only, let the engines run, and work a shortlist the same day.

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1

Connect

Link source control and cloud accounts. GitHub, GitLab, Bitbucket, AWS, Azure DevOps — read-only to start.

2

Scan

Full engines run across code, dependencies, secrets, IaC, cloud configuration, runtime and AI assets.

3

Correlate

Signals are joined with exposure, identity and ownership context across the SDLC and production.

4

Prioritize

Findings are ranked by reachability, not volume — a shortlist a team can finish this sprint.

5

Remediate

Fixes land in existing workflows: pull requests, tickets, chat and policy gates.

Step one

Read-only onboarding, no agents

Connection is an OAuth grant and a cloud role, both scoped to read. Nothing is written to your repositories or accounts until you turn on remediation, and enforcement stays off until you choose a policy.

  • GitHub, GitLab, Bitbucket, Azure DevOps
  • AWS, Azure and GCP via least-privilege read roles
  • Jenkins, CircleCI and GitHub Actions for pipeline context
  • No agent rollout required to reach first value
Time to first scan
Minutes after the first repository is linked
Time to first prioritized risk
Hours, not sprints
Time to full coverage
Two weeks, reported by a healthcare technology customer
Permissions at onboarding
Read-only across code and cloud
Enforcement
Off by default, enabled per policy and per team
Steps two and three

Scan everything, then join it into one model

Running more scanners is the easy part. The value is in what happens next: every signal is resolved to a component, an owner, an environment and an exposure path, so a finding stops being a row in a table and becomes a statement about your actual risk.

  • Code, dependencies, secrets and IaC on every commit and PR
  • Cloud configuration and identity graphed continuously
  • Runtime behaviour tied back to the build that produced it
  • AI models, agents and endpoints inventoried alongside everything else
correlationSignals
  • 01
    Code path & call graph
    Is the vulnerable function ever invoked?
  • 02
    Network exposure
    Is the workload internet-facing or segmented?
  • 03
    Identity & entitlement
    What does a compromise actually unlock?
  • 04
    Runtime behaviour
    Is the affected component running in production?
  • 05
    Ownership & blast radius
    Who fixes it, and what breaks if it is exploited?
Steps four and five

A shortlist, with the fix already drafted

Prioritization is only useful if remediation is easy. Securefase is PR-native, so the fix arrives where the work happens.

Merge gates

Policy decides what cannot ship: a reachable critical, a leaked credential, a non-compliant IaC change. Enforcement is per-policy, so teams tighten gradually rather than blocking on day one.

AI remediation

The platform generates the fix as a pull request — dependency bump, config correction, secret rotation path — with the reasoning attached for review.

Ownership routing

Findings route to the team that owns the code or resource, into Jira, Slack, ServiceNow or PagerDuty. No central triage bottleneck.

Audit evidence

Every decision, exception and fix is captured against OWASP, CIS and SOC 2 controls — so the evidence pack assembles itself.

Integrations

Works with what you already run

Securefase is designed to reduce the number of consoles your team lives in, not add one more.

SOURCE & CI

GitHub · GitLab · Bitbucket · Azure DevOps · Jenkins · CircleCI · GitHub Actions

CLOUD & RUNTIME

AWS · Azure · GCP · Kubernetes · Docker · Terraform

WORKFLOW

Jira · Slack · ServiceNow · PagerDuty · Okta

OBSERVABILITY & TOOLS

Datadog · Splunk · Snyk · SonarQube

Evaluate on real code, not a sandbox

One repository and five scans a month, free — with the full scan engines behind it.

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