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 Agent Fix uses dynamic few-shot prompting and a 35,000-example database to generate, validate, and iteratively repair AI-generated code fixes.
Snyk Agent Fix patches one file per finding. Here's why that scope exists, which vulnerability classes need multi-file fixes, and how to catch what a single-file patch leaves behind.
Snyk Code applies one hybrid AI-plus-symbolic engine to ten languages, but rule depth, autofix coverage, and taint tracking vary widely by language.
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.
Black Duck built its platform on decades of license-compliance SCA and acquired tools. Safeguard built a unified, reachability-aware supply-chain risk platform from day one.
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