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Customer Cases

Customer Success at Enterprise Scale

Trusted by the world's most demanding engineering infrastructures and software security leaders.

$39.74
Avg. Annual Cost Per Security Defect

Reliable financial ROI and highly efficient remediation scaling.

134
Linux Kernel CVEs Discovered & Fixed

Deep architectural precision identifying critical flaws legacy scanners missed.

95%
Faster Regulatory Triage Speed

Compliance filtering that eliminates manual mapping for Europe's leading financial ecosystem.

1,200
Security Defects Fixed in JDK

Path-sensitive analysis discovers hidden issues across 7M LOC.

What Our Customers Say

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Case Studies

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Linux Kernel (Core OS Supply Chain Security)

Finding 134 Linux Kernel CVEs, More Than Any Other SAST: Collaborative Triage at Scale

Driving hundreds of accepted patches in the main Linux kernel branch, maintained by the Linux Foundation, while systematically coordinating a distributed testing cluster with 38 participating teams via Svacer. Finding intricate anomalies introduced during regular backporting into stable Linux branches.

  • 134 CVEs Discovered, Patched & Published by Greg Kroah-Hartman, and counting
  • 86% True Positive Rate Across 35,000+ Warnings
  • 514 Linux Kernel Patches Driven by Svace, and counting

“Svace's technology is foundational for vulnerability detection workflows at our testing cluster. It allows us to consistently catch incorrectly backported patches.”

Massive Electronics Manufacturer (Global Hardware & OS Ecosystem)

Scaling Deep Static Analysis For 10,000 Developers, Reducing Non-Actionable Noise by 47%

A 15-year strategic deployment backed by custom R&D proving that Svace seamlessly replaces legacy commercial tools in hyper-diverse, multi-compiler environments (90+ toolchains) spanning smartphones, smart TVs, home appliances, and Android/Tizen-like systems.

  • 300+ Billion Cumulative LOC Scanned
  • 47% Reduction in Non-Actionable Alerts
  • 11-Hour Full Scan of 17M LOC with 100% Deterministic Results

“With Svace we reduced the number of false positives and other non-actionable warnings by 47% as per our developers' feedback”

Postgres Pro (Enterprise DBMS Developer & Top-3 PostgreSQL Contributor)

Surgical Precision Over 3.5M Lines of Code: Fostering a 100% Developer Adoption

Overcoming developer pushback by fine-tuning the Svace engine to natively understand PostgreSQL's proprietary memory management, dropping administrative noise to near-zero. SAST as an integral part of team culture for 550 engineers.

  • 100% Core Project Integration Across 28 Releases Per Year and 5 DBMS Versions
  • 150+ Technical Improvements Made Following Svace's Findings in One Recent Project
  • 5 to 10 Upstream Patches Annually Contributed to PostgreSQL

“We now have 550 people on the team, and everyone works with Svace and Svacer. We don't have a single project that doesn't undergo static analysis.”

Axiom JDK (Core Java Virtual Machine & Tooling Architecture)

Leading Java Tooling Developer Swaps Global SAST Engine to Meet Rigid Certification Mandates

Swapping a global security tool for Svace & Svacer deeply integrated within a 7M LOC codebase to satisfy stringent regulatory certification targets, streamline patching strategy, and improve overall code quality. Optimizing daily developer velocity through ML-powered classification of warnings.

  • 1,200 Deep Defects Identified and Fixed Post-Migration
  • 50 Warnings Per Day Processed by a Single Engineer
  • 7,000,000+ Lines of Code Monitored Per JDK Version

“We use several SAST tools to increase our search overlap, as the results of different analyzers only partially intersect. But Svace results are what we look at first and foremost.”

YADRO (Telecoms, Compute & Infrastructure Architecture)

How an Infrastructure and Telecom Giant Built a High-Availability, Centralized SAST Pipeline for 1,000+ Developers

A masterclass in eliminating tool onboarding friction by shifting to an automated "Analysis as a Service" (AaaS) model utilizing geographically distributed, BGP-routed data centers, automated Configuration as Code (CaC) setups, and Prometheus observability metrics.

  • 14 Svacer Instances Company-Wide, with 42,000+ Snapshots Inside the Largest Project
  • Under 30-Minute Scan Times via Analysis Caching
  • 1,000+ Enterprise Developers Onboarded Seamlessly

“There were essentially no alternatives: no one else could properly analyze Go. SonarQube provided only basic analysis comparable to linters, whereas Svace clearly had more detectors. Significantly more.”

Ideco (Network Security Solutions & Next-Gen Firewalls)

Pre-Release Security Testing: How Ideco Secures Network Solutions While Capping Defect Remediation Costs

Replacing fragmented manual checks with regular pre-release analysis across 3 GB of source code. Propagates security fixes automatically from the main development branch into all supported product streams. Developed automated audit tools via the Svacer API to enforce strict triage discipline, ensuring no critical warning is bypassed without justification comments.

  • 180 Security Patches Created for a Single Pre-Release Cycle Based on Svace Warnings
  • $39.74 Average Annual Cost per Validated Security Defect
  • Unpatched Vulnerabilities Found Inside Core Upstream Components Like OpenSSL

“Svace helped us identify OpenSSL bugs that had not yet been fixed upstream at the time.”

Software House of Europe's Leading Bank (FinTech & High-Load Sovereign Core Infrastructure)

Securing Tens of Millions of LOC: Automated Strict Regulatory Certification for Server OS and Enterprise DBMS

Building an automated, multi-tier CI/CD triage pipeline for over 1,500 active microservice projects. Established a two-tier triage workflow (Developer-First Triage followed by AppSec Quality Gate) managed via Svacer and the Svacer API. Demonstrates exceptional parsing performance on lower-level compiled languages (C, C++, Go, Java).

  • < 8-Hour Scan Time for 40M+ LOC Codebases
  • 0 Hours of Manual Regulatory Mapping Thanks to Compliance-Native Smart Filters
  • 15 Product Teams Using Svace and Svacer with Remote Access

“While other tools might have a simpler UX, Svace finds errors on C, C++, Go, and Java exceptionally well. On lower-level compiled languages, Svace works much better.”

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