github-advanced-security
Safeguard articles tagged "github-advanced-security" — guides, analysis, and best practices for software supply chain and application security.
23 articles
Dependabot alerts vs CodeQL analysis: what's the difference
Dependabot flags known vulnerabilities in dependencies; CodeQL finds flaws in your own code. Here's how the two differ inside GitHub Advanced Security.
CodeQL default setup vs advanced setup for code scanning
CodeQL's default setup is fast but limited; advanced setup adds control but more YAML to maintain. Here's how the two compare, and where Safeguard fits in.
GitHub Advisory Database: 30,000+ curated advisories beyo...
GitHub's Advisory Database curates 30,000+ entries beyond raw CVE data. Here's what it actually covers, where GHAS inherits its limits, and where correlation across sources closes the gaps.
GitHub-only lock-in: why GHAS doesn't support GitLab, Bit...
GHAS only scans GitHub repos. For orgs running GitLab, Bitbucket, or self-hosted Git, that's a real coverage gap. Here's how Safeguard closes it.
Secret scanning coverage: GHAS's ~200 patterns vs broader...
GHAS matches secrets against ~200 partner patterns. We break down where that coverage ends and how Safeguard's layered detection catches what pattern lists miss.
What GitHub Advanced Security actually includes now that ...
GitHub split Advanced Security into Secret Protection and Code Security in April 2025. Here's what each product covers, what it costs, and where the gaps still are.
GitHub Code Security and CodeQL SAST scanning explained
GitHub split Advanced Security into Code Security and Secret Protection in 2025. Here's how CodeQL SAST actually works, what it misses, and how Safeguard fills the supply-chain gap.
How Copilot Autofix generates AI-powered vulnerability fi...
Copilot Autofix pairs CodeQL with an LLM to patch code-scanning alerts up to 3x faster. Here's how it works, its limits, and where supply chain risk still slips through.
How GitHub used secret scanning to reach 'inbox zero' on ...
GitHub spent nine months clearing 20,000+ secret scanning alerts across 15,000 repos, finding 90% were noise. Here's how they beat alert fatigue, and how Safeguard automates it.
Reducing false positives in secret scanning with context-...
Regex-based secret scanners like GitHub Advanced Security flood teams with false positives. Here's how context-aware LLM reasoning cuts the noise without missing real leaked credentials.
Inside the GitHub Advisory Database: how vulnerability re...
How vulnerability records actually get into the GitHub Advisory Database — curation, CNA status, GHAS enrichment, and the gaps in severity and version data teams should watch for.
GitHub for Beginners: getting started with GitHub securit...
A beginner's guide to GitHub's free security tools, what GitHub Advanced Security actually adds, its 2025 pricing shift, and the supply chain gaps neither one covers.