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.
A source code security scanner reads your code without running it to find injection, secrets, and logic flaws. Here is how the analysis works and how to pick one that fits.
AI coding assistants make developers write faster and trust more — even when the code is less secure. Here's what the data shows, and how to close the gap.
The OWASP Top Ten vulnerabilities is the industry-standard list of the most critical web application security risks. Here is what the current 2025 edition covers and how to defend against each.
Nginx vulnerabilities are rare compared to application-layer bugs but high-impact when they land — here's how to track disclosures and patch fleets without breaking uptime.
SQL injection still breaches Fortune 500s in 2026. Here are 8 concrete practices — from parameterized queries to reachability analysis — that actually stop it.
AI coding assistants are quietly reshuffling the OWASP Top Ten, elevating software supply chain risk and reviving old injection bugs at machine speed.
Comparing JFrog Artifactory alternatives? Here's how JFrog's binary repository approach differs from Safeguard's supply chain security platform, and what to check before choosing.
Across studies from Stanford to BaxBench, AI assistants keep suggesting string-concatenated SQL and hardcoded JWT secrets. Here is the pattern, by the numbers.
NIST, ISO 42001, and the EU AI Act now shape how teams must govern AI-generated code. Here's what an AI code governance framework actually requires in practice.
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