vulnerability-scanning
Safeguard articles tagged "vulnerability-scanning" — guides, analysis, and best practices for software supply chain and application security.
107 articles
Can an LLM find the same bug twice? What repeatability benchmarking reveals
In a 300-run benchmark, the best LLM scanner hit 75.4% F1 while a deterministic SAST baseline hit 100% — but the real story is in what varies between runs.
False Positives vs False Negatives: What's the Difference?
A false positive flags something safe as dangerous. A false negative misses something dangerous entirely. One wastes your time; the other gets you breached.
.NET Dependency Vulnerability Scanning: A Practical Guide
How to scan .NET dependencies for known vulnerabilities using dotnet list package, NuGet audit, and reachability-aware SCA, and how to wire it into CI so nothing ships with a known critical.
The Go Vulnerability Scanning Guide: govulncheck, Reachability, and CI
Most scanners tell you a CVE exists somewhere in go.sum. govulncheck tells you whether your code can actually reach it. Here's how Go's reachability-based scanning works and how to run it well.
Introduction to Vulnerability Scanning
Vulnerability scanning is how teams find known weaknesses before attackers do. This guide explains what a scanner actually does, the main types, how a scan works end to end, and how to turn a wall of findings into a short list of things worth fixing.
Scanning Docker Images in CI/CD Pipelines
Scanning a container after it deploys is an incident report. Scanning it in the pipeline is a one-line diff. Here is how to gate builds on image scans without drowning developers in false positives.
Best Vulnerability Scanners in 2026: A Buyer's Guide
A balanced guide to the best vulnerability scanners in 2026 across network, cloud, container, and software layers — Tenable, Qualys, Rapid7, Wiz, Trivy, and Snyk — with honest tradeoffs and where Safeguard fits for software and supply-chain scanning.
False positives vs. false negatives in security scanning
False positives waste engineering time; false negatives cause breaches. A verifiable, metrics-based look at how Safeguard and Checkmarx approach scan accuracy.
How Do You Run a Vulnerability Test? A Practical Guide
A vulnerability test is a systematic check of a system for known security weaknesses. Here is what it involves, the types available, and how to run one that produces action instead of a wall of findings.
Daybreak vs. Mythos: 2026 Is the Year the Frontier Labs Entered Defensive Security
OpenAI's Daybreak and Anthropic's Mythos both bet that frontier models can find and fix vulnerabilities at scale. The discovery race is real — but the bottleneck, the cost curve, and the winning strategy all point the same direction: be model-agnostic.
OpenAI's Daybreak: An Honest Assessment of Codex Security, GPT-5.5-Cyber, and the Find-Validate-Patch Loop
Daybreak is the most complete attempt yet to turn a frontier model into a vulnerability-finding-and-fixing system. We break down what it gets right, where the verification and economics still bite, and how it fits alongside a purpose-built engine.
Deep visibility into hardened/minimal container images (d...
Distroless images strip the package managers most scanners rely on. Here's how Safeguard achieves deep visibility into hardened images, compared to Black Duck's SCA heritage.
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