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.
A technical walkthrough of how Snyk Code's SARIF output is generated, uploaded, and deduplicated inside GitHub Advanced Security's code scanning pipeline.
How Snyk Code's confidence scoring works under the hood, and why "high confidence" and "severity" are not the same axis for triage.
A technical look at how Snyk Code's symbolic engine and taint tracking flag insecure API calls like weak crypto, XXE, and SSRF before code ships.
How Snyk Code uses interprocedural data-flow tracing—not regex matching—to catch path traversal (CWE-22) by connecting tainted sources to file-system sinks.
Snyk Code once shipped duplicate and similar-code detection under its Code Quality rules. Here's how it worked, and what its 2025 retirement means for teams.
AI-assisted "vibe coding" is reshaping how much code ships and how little of it gets truly reviewed. Here's what the data shows and how AppSec teams should respond.
Reachability analysis determines whether a vulnerable function is actually called by your application. The technology has matured from research concept to production tool. Here is how it works and where it falls short.
AppSec teams don't fail from missing tools, they fail from thousands of unprioritized alerts. Here's why alert fatigue is the real AppSec bottleneck.
CrowdStrike, Cisco, Tenable, and others have spent three years buying runtime-visibility startups. Here's why AppSec vendors need runtime context to fix alert overload.
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