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.
CVSS by itself produces a queue ordered by hypothetical severity. Reachability orders by actual exposure. Mixing the two correctly is where mature programs land.
CVSS tells you severity. It does not tell you risk. Here is how reachability, exploitability, and AI context produce a prioritisation model that survives reality.
Why most CVEs in your dependency tree are not exploitable in your application, and how reachability analysis separates real risk from noise.
Some vulnerabilities cannot be fixed in any reasonable timeframe. Here is a structured framework for accepting risk responsibly with reachability and AI evidence.
Pure-LLM vulnerability scanners hit production around 2024. By 2026 their failure modes are documented. Reachability remains the backbone — and the LLM is most useful on top of it.
Old vulnerabilities accumulate quietly until they become a compliance problem. Here is how to decide between fixing and mitigating, with evidence that holds up.
Most burndown charts lie about progress. Here is how to build one that survives executive scrutiny by combining reachability, age cohorts, and inflow data.
Most enterprise CVE queues are noise. KEV plus EPSS plus reachability plus policy-as-code cuts the real actionable list to a manageable few percent.
The handoff between security triage and engineering remediation is where most programs lose time. Here is how to fix it with context-rich PRs and AI.
Weekly insights on software supply chain security, delivered to your inbox.