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.
Three years after Log4Shell, Log4j is still found in production systems. Here is what the industry fixed, what it didn't, and why the risk persists.
Copy-pasted code from Stack Overflow and AI chats often ships with hidden vulnerabilities. Here's the data behind the risk, real breaches it caused, and how to catch it.
Bug bounties didn't catch Log4Shell or the XZ Utils backdoor. An independent look at what OSS bounty programs actually cover — and where they structurally fall short.
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.
The NIST standards are final, the deadlines are real, and the harvest-now-decrypt-later clock is running. Here is an honest look at what enterprise PQC migration looks like in 2026 — and why crypto-agility matters more than picking an algorithm.
Apache tomcat vulnerabilities keep surfacing because Tomcat sits directly in the request path of so many Java applications; here is what the Coyote connector does and which vulnerability classes recur most.
An honest, opinionated guide to the best Snyk alternatives in 2026 — Endor Labs, Socket, Mend, Aikido, Semgrep, Sonatype, Trivy, and Safeguard — with a fair blurb and a 'best for' line for each, plus where reachability and remediation actually matter.
Weekly insights on software supply chain security, delivered to your inbox.
Your first fix PR is minutes away.
No sales call required, even your agent can complete the purchase over MCP.
