Application security that prioritizes reachable risk.
Find risk in code, correlate it with cloud, runtime and AI context, and fix only what an attacker can actually reach. One platform in place of five point tools — deployed in days, not quarters.
Security teams are drowning in findings, not fixing risk
Every new scanner adds volume. None of them add context. The result is a backlog nobody can defend to the board.
Alert volume without exploitability
A mid-size estate generates 10,000+ findings a quarter. Severity scores ignore whether the vulnerable path is ever executed, exposed or privileged.
Five tools, five consoles, no shared truth
SAST, SCA, secrets, IaC and CSPM each own a slice. Nothing joins a leaked key to the identity it unlocks, or a CVE to an internet-facing workload.
Remediation measured in quarters
Findings become tickets, tickets become backlog. Mean time to remediate stretches while the exploited window stays open.
Developers disengage
Security arrives after the merge, in a tool developers do not use, with a list they cannot triage. Adoption stalls and coverage gaps grow.
Severity says what is broken. Reachability says what is dangerous.
Securefase changes the unit of work from ‘findings closed’ to ‘attack paths removed’.
Severity-first · the old model
- Ranks by CVSS in isolation
- Treats every repository as equally exposed
- Cannot tell a dead code path from a production entry point
- Ignores identity, privilege and network reachability
- Produces a backlog that grows faster than it is closed
Reachability-first · Securefase
- Scores each finding against real-world reachability
- Joins code findings to cloud exposure and live workloads
- Weighs identity, entitlement and blast radius
- Surfaces a ranked shortlist, with owner and fix attached
- Blocks the reachable class at the merge gate
The question is no longer “how many criticals do we have?” — it is “which of them can an attacker actually reach today?”
Four security surfaces, one correlated risk model
Each pillar stands on its own — together they produce context no single scanner can see.
Code security
SAST across modern languages, software composition analysis with transitive dependency mapping, secrets detection before merge, and IaC scanning for Terraform, Kubernetes and containers.
Cloud posture
Continuous inventory of accounts, resources and identities. Misconfiguration and entitlement drift ranked by what is genuinely reachable from the internet or a compromised role.
Runtime defence
Anomaly detection on live workloads, connecting build-time findings to production behaviour so teams follow real attack paths instead of disconnected alert streams.
AI security
Discovery of models, agents and shadow AI across the estate, with posture assessment, data-exposure checks and policy controls for the systems moving fastest into production.
From 12,000 findings to the 30 that matter
Reachability is computed from signals no single scanner owns. The funnel is a representative mid-size estate.
A 99.75% reduction in what the team is asked to look at — and every remaining item carries an owner, an exposure path and a proposed fix.
- 01Code path & call graphIs the vulnerable function ever invoked?
- 02Network exposureIs the workload internet-facing or segmented?
- 03Identity & entitlementWhat does a compromise actually unlock?
- 04Runtime behaviourIs the affected component running in production?
- 05Ownership & blast radiusWho fixes it, and what breaks if it is exploited?
From first connection to prioritized risk in hours
No agents to roll out across the estate before value appears. Connect, scan, correlate — same-day remediation is realistic.
Connect
Link source control and cloud accounts. GitHub, GitLab, Bitbucket, AWS, Azure DevOps — read-only to start.
Scan
Full engines run across code, dependencies, secrets, IaC, cloud configuration, runtime and AI assets.
Correlate
Signals are joined with exposure, identity and ownership context across the SDLC and production.
Prioritize
Findings are ranked by reachability, not volume — a shortlist a team can finish this sprint.
Remediate
Fixes land in existing workflows: pull requests, tickets, chat and policy gates.
Security that lands in the pull request, not in a ticket queue
Securefase is PR-native. Developers meet it where they already work, which is why coverage sticks.
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.
What changes in the first quarter
Results reported by early Securefase customers across SaaS, fintech and healthcare technology.
We finally have a single view of reachable risk across repos and cloud.
Developers fix issues in the PR instead of chasing tickets.
Onboarding was measured in days, not quarters.
Built for the controls your auditors already ask about
Security, governance and evidence are part of the platform, not a services add-on.
Governance
- SSO and SCIM provisioning
- Role-based access control
- Immutable audit trails
- Policy controls per team and repo
Data protection
- Encrypted secrets handling
- Least-privilege, read-only onboarding
- Tenant isolation
- Configurable data residency
Standards alignment
- SOC 2 · ISO 27001 · GDPR
- OWASP Top 10 coverage mapping
- CIS benchmark checks
- Evidence collection for audit
Start free. Scale when the value is proven.
One repository, five scans a month, full scan engines — so evaluation runs on real code, not a sandbox.