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.
InnerSource speeds up enterprise code reuse, but it also turns every internal team into an unaudited package publisher. Here's where governance breaks and how to fix it.
Most of your organization is already using AI you never approved. Here is how to discover it, govern it, and offer sanctioned alternatives before it becomes a breach.
An honest comparison of the best SCA tools in 2026 — Snyk, Endor Labs, Socket, Mend, Sonatype, JFrog, Trivy, and Safeguard — covering reachability analysis, malicious-package detection, SBOM/AIBOM, and remediation, with a clear best-for line for each.
DAST tests running applications like an attacker would. Learn how it works, how it differs from SAST, and where it falls short.
What is an AI Bill of Materials (AIBOM), why do SBOM tools like Sonatype fall short on AI components, and how do teams build one in 2025.
SCA scans your open-source dependencies for known vulnerabilities and license risk. Here's what it checks, how it differs from SAST, and why reachability matters.
SAST, DAST, and SCA each answer a different security question — here's what each catches, when to run them, and how to prioritize the flood of findings.
Open source malware is code deliberately planted in packages to attack the systems that install it. Learn how it spreads, real incidents, and how it differs from CVEs.
A known vulnerability is a publicly disclosed, CVE-tracked flaw — and disclosure alone doesn't mean it's fixed, patched, or harmless.
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