Complementary Security that Goes Beyond Standard Compliance Checkmarks

Global technology giants operate across vast product lines, spanning smartphones, smart televisions, digital appliances, and embedded medical equipment. Managing security across these environments means supporting massive codebases running on dozens of legacy build systems, proprietary vendor toolchains, and distinct operating systems (like Android and Tizen) where standard off-the-shelf SAST tools fail to compile or capture code out of the box.

Svace implements a highly adaptive, stable build capture layer engineered to handle diverse compilation ecosystems. By extending core parsing technologies and wrapping them in automated build environments, the engine supports vast multi-language codebases (C, C++, C#, and Java) with full system determinism.

Unify your entire multi-platform engineering force under a single, highly scalable diagnostic solution. Eliminate toolchain friction across legacy and modern platforms, allowing distributed divisions to ship secure consumer and enterprise devices ahead of aggressive time-to-market deadlines.

Deployed continuously by the company producing the majority of Android devices yearly since 2009 as its primary corporate SAST engine, scaling across 90 distinct C/C++ compiler toolchains and 6 major business divisions, having evaluated over 300 billion lines of code cumulatively.

Standard SAST tools generate massive amounts of non-actionable warnings or rely on shallow rules that completely miss complex, architecture-specific flaws. When engineers are bombarded with false positives, they push back against security tooling, causing genuine defects to be missed in the noise.

Svace blends lightweight AST-based checkers with advanced path-sensitive analysis powered by an internal SMT solver. Crucially, the platform is fully customizable, allowing security teams to write custom checkers tailored to specific corporate code logic and nuance while suppressing irrelevant out-of-the-box alerts.

Achieve up to a 70% reduction in non-actionable warnings, radically improving developer trust and tool adoption. Engineers stop treating security as a bureaucratic hurdle and begin using it as a precise diagnostic lancet that surfaces hidden execution-path flaws before code deployment.

Massive electronics manufacturer engineered 14 custom checkers to catch previously hidden defect classes, while Postgres Pro adjusted the analysis engine to interpret proprietary PostgreSQL memory management, boosting 100% adoption across 550 developers.

Meeting strict software security standards, such as validating certified Operating Systems or core transactional banking software, historically required months of manual tracking, flat report reviews, and disconnected quality gates that severely prolonged release timelines.

Svace delivers deep, compliant interprocedural analysis to satisfy rigorous trust-level regulations right out of the box. Svacer integrates compliance-native smart filters, automating the segmentation of security warnings to eliminate manual compliance tracking.

Achieve up to a 95% reduction in certification preparation time. You secure an unalterable, 100% auditable traceability record from initial commit, allowing core financial and server-level assets to achieve full compliance with zero hours spent on manual regulatory mapping.

Trusted by Europe's leading retail banking ecosystem with billions of transactions annually to secure their OS- and DB-level software by utilizing native smart filters mapped to strict national security standards.

For organizations running continuous delivery pipelines, manually triggering security scans or forcing engineers to open separate dashboards to check logs destroys sprint velocity. Triage must be streamlined and aligned with CI/CD workflows.

Svace integrates directly into CI/CD pipelines to execute parallelized scans automatically. Using the Svacer API, it aggregates third-party security findings via the SARIF format into a single interface, while connected with Jira for developer task creation.

Automate peer reviews and code remediation at scale. Security findings are injected directly into code review pipelines as automated inline comments, backed by context-specific suggestions that automatically resolve defects to dramatically reduce engineering effort and speed up delivery.

Deployed by Postgres Pro via GitLab CI and the Svacer API to automate Jira ticket generation across 28 enterprise releases per year.

Onboarding new product teams, managing isolated tool installations, and handling infrastructure across distributed, cross-departmental operations creates huge administrative overhead.

A centralized remote server model that intercepts builds directly on the builder side, handles processing automatically via Configuration as Code, and maps projects securely to existing corporate LDAP groups with clear, multi-tier triage layouts.

Onboard new teams instantly with a single click. Establish a clear audit trail that visualizes tracking states (such as "Triaged by Dev, Pending AppSec Verification"), giving management an audit-ready posture without interrupting technical workflows.

Deployed by YADRO as a centralized service model across 14 servers supporting 1,000+ developers and over 42,000 snapshots with automated BGP failover, and utilized by Europe's leading retail banking ecosystem to govern a collaborative workflow across 1,500 active microservice projects.

Legacy SAST tools treat external open-source dependencies as black boxes, missing complex code divergence issues, such as vulnerabilities introduced when backporting patches to older stable branches.

Svace analyzes code across build boundaries by generating precise function summaries to capture the side effects of third-party libraries. Its path-sensitive interprocedural analysis discovers subtle flaws that legacy engines overlook.

Secure your software supply chain at depth. Eliminate blind spots in the open-source components your enterprise relies on, while generating impactful findings and contributions for global OSS communities.

Despite the Linux kernel being continuously analyzed by tools like Coverity and Klocwork, Svace discovered 134 new CVE vulnerabilities with an 86% true-positive rate.