Deep dives, practical guides, and incident analyses from engineers who build Safeguard. No fluff, no vendor FUD — just what you need to ship secure software.
How Snyk Code's closed-source AI engine and Semgrep's open-rule transparency model compare on detection, rule customization, and enterprise integration.
How DeepSource and CodeQL compare on rule depth, autofix capability, language coverage, and the workflow that drives adoption inside engineering organizations.
How Semgrep Cloud and CodeQL compare on rule authoring, language coverage, performance, and pull request ergonomics for static analysis programs.
A practical head-to-head between CodeQL and Semgrep in 2026: query power, performance, rule authoring, and where each tool earns its place in a modern SAST program.
A 2026 survey of static analysis tools for Swift focused on security findings: what works, what does not, and where the iOS and server-side gaps remain.
Dataflow analysis is the workhorse behind most vulnerability research. Here's how it adapts to TypeScript, Rust, and the polyglot realities of modern software.
Not every vulnerability in your dependencies is exploitable. Safeguard's reachability analysis determines whether vulnerable code paths are actually invoked in your application.
A technique-by-technique tour of how modern static analyzers cut false positives, from CodeQL's path pruning to Infer's bi-abduction.
A practitioner's walk-through of taint analysis as a zero-day discovery technique, from classic Livshits and Lam foundations to modern flow-sensitive engines.
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