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 good code guide teaches you to read code, not just write it. This walkthrough covers how to review code for the security flaws that automated tools and casual readers miss.
A verifiable comparison of Safeguard and JFrog Xray on scan coverage, data sourcing, reachability analysis, and CI/CD integration for vulnerability scanning.
A security review of @angular-eslint/schematics: what the package does, its install-time behavior, dependency footprint, and how to adopt it safely in an Angular workspace.
Most AWS breaches are not AWS failing — they are misconfiguration, leaked keys, and over-privileged roles. Here is how the real ones unfolded and how to stop yours.
SOC 2 Type II and ISO 27001 certify different things to different audiences. Here's what each actually covers, and how to evaluate supply chain vendors like JFrog and Safeguard on it.
AI coding assistants regularly invent package names that don't exist — and attackers are registering them first. Here's how slopsquatting works and how to defend against it.
LLM coding assistants inherit insecure patterns from their training data — from SQLi-prone snippets to hallucinated packages attackers exploit. Here's how the risk propagates.
AI coding assistants keep getting smarter, yet developer security policy bypasses keep rising. Here's why the two trends are linked and how to close the gap.
A benchmark-driven look at insecure output rates across GitHub Copilot, Cursor, Amazon Q, and Tabnine, and why the model matters more than the brand.
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