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.
Shift left security moves scanning earlier in the SDLC. Here's what it means, how Sonatype approaches it, where it falls short, and how Safeguard closes the gap.
Studies show developers trust AI-generated code more than human code, even though it's often less secure. Here's what's driving the AI code trust gap.
Studies show 40-45% of AI-suggested code contains exploitable flaws, and models hallucinate fake packages developers install. Here's what the data says.
AI coding assistants write fast but fail differently than humans do. Learn why scanning AI-generated code needs new heuristics for hallucinated dependencies.
AI now writes up to half of production code. Here is why traditional code review breaks down on AI output, and what teams need to change.
AI writes most new code, but few CI pipelines scan it before merge. Here's why the AI code scanning adoption gap exists — and what closes it.
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.
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.
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