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.
When an npm package looks suspicious, you need a systematic approach to determine if it is malicious. These analysis techniques separate noise from genuine threats.
Defense in depth stacks independent security layers—source, build, dependencies, artifacts, runtime—so no single failure causes a breach.
Citizen developers are building applications on low-code platforms faster than security teams can assess them. The supply chain risks are real and growing.
Django's CSRF defaults are solid, but wildcards, exempted webhooks, and reordered middleware quietly undo them. Here's where django csrf misconfiguration actually happens.
Google's Assured OSS service provides enterprise-grade security guarantees for open source packages. It's a compelling model, but it raises questions about who controls the open source supply chain.
Security by obscurity means hiding a system instead of securing it. Here's why that bet fails, with real breaches, real CVEs, and what to build instead.
Double extortion transformed ransomware from a reversible nuisance into an irreversible data breach. The evolution from encryption-only to data theft fundamentally changed the threat model.
A hands-on pip-audit tutorial covering Python dependency scanning, Safety CLI comparisons, and a workflow for catching PyPI vulnerabilities before release.
Securing Django applications with built-in security features, dependency management, and supply chain protections.
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