Reliable financial ROI and highly efficient remediation scaling.
Trusted by the world's most demanding engineering infrastructures and software security leaders.
Reliable financial ROI and highly efficient remediation scaling.
Deep architectural precision identifying critical flaws legacy scanners missed.
Compliance filtering that eliminates manual mapping for Europe's leading financial ecosystem.
Path-sensitive analysis discovers hidden issues across 7M LOC.
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.
“Svace's technology is foundational for vulnerability detection workflows at our testing cluster. It allows us to consistently catch incorrectly backported patches.”
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.
“With Svace we reduced the number of false positives and other non-actionable warnings by 47% as per our developers' feedback”
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.
“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.”
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.
“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.”
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.
“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.”
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.
“Svace helped us identify OpenSSL bugs that had not yet been fixed upstream at the time.”
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).
“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.”
Find Hidden Issues in Critical Software