sast
Safeguard articles tagged "sast" — guides, analysis, and best practices for software supply chain and application security.
377 articles
A reference architecture for automating security gates in CI/CD
29M hardcoded secrets leaked in 2025 alone. Here's a gate architecture — SAST, SCA, secrets, IaC — that catches that without adding a day to your release cycle.
Reducing false positives in SAST and SCA tools
NIST benchmark data puts some SAST false-positive rates near 78%. Reachability analysis and contextual triage are how teams cut that noise without missing real risk.
Scanning AI-Generated Code Before It Merges: Wiring Scanners into Coding Assistants with MCP
Research found ~40% of Copilot suggestions were vulnerable, and devs using AI assistants trusted their code more. MCP lets you scan before merge.
The real ROI of shifting left: what early flaw detection actually saves
A 2025 data breach averages $4.44M globally and $10.22M in the US. Here's a defensible cost model for catching flaws before they ship, not after.
Fortify Scan vs Modern SAST Tools: What Changed
A Fortify scan still catches classic code-level flaws well, but the SAST category has moved toward faster feedback and reachability-aware prioritization since Fortify's architecture was designed.
SAST vs SCA: What's the Difference? (Beginner's Guide)
SAST reads the code your team wrote, looking for insecure patterns. SCA inspects the open-source code you borrowed, looking for known vulnerabilities. One checks your writing; the other checks your ingredients.
Static vs Dynamic Code Analysis: An Honest 2026 Comparison
SAST vs DAST vs IAST in 2026 — what each finds, what each misses, the real tools, how reachability bridges them, and where Safeguard fits — explained without hype.
AI code review: what it actually catches versus misses
GitClear's 211M-line study found copy-pasted code rose from 8.3% to 12.3% of changes from 2020 to 2024 — even as AI reviewers flag more comments, the defects that matter most still slip through.
Where AI actually helps AppSec — and where it quietly makes things worse
One 2025 benchmark found an LLM filter cut Semgrep's false positives by 88.6% — while a separate study found GPT-4 alone flagging vulnerabilities was wrong more often than right.
How AI-powered SAST auto-fix engines actually work
GitHub says Copilot Autofix resolves two-thirds of flagged vulnerabilities with little editing; Snyk claims 80% fix accuracy. Here's the pipeline behind both numbers.
ASPM fundamentals: what application security posture management actually aggregates
Gartner coined the ASPM term in May 2023 and projects over 40% of organizations building software will adopt it by 2026 — here is what it actually does.
ASPM fundamentals for security teams
Gartner projects over 40% of organizations will adopt Application Security Posture Management by 2026 — here's what it actually aggregates and how to judge if yours is working.
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