Automated Zero-Day Discovery: How AI Is Changing Vulnerability Research
AI-powered fuzzing and code analysis are accelerating zero-day discovery. Here's what that means for defenders.
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.
AI-powered fuzzing and code analysis are accelerating zero-day discovery. Here's what that means for defenders.
Setting vulnerability remediation deadlines is easy. Actually meeting them is hard. This guide covers practical SLA frameworks that balance security urgency with engineering reality.
OSV provides a standardized format for vulnerability data that is purpose-built for open-source ecosystems. Here is how it works and why it is better than NVD for dependency scanning.
Individual vulnerabilities rarely tell the full story. This deep dive examines how attackers chain low-severity bugs into devastating exploits and how defenders can break the chain.
EPSS offers a data-driven approach to vulnerability prioritization. Learn how it works, how it compares to CVSS, and why your team should care.
The same vulnerability often appears under different identifiers across npm, PyPI, Maven, and other ecosystems. Here is how to correlate vulnerabilities across ecosystems and why it matters.
CPE is the backbone of NVD vulnerability matching, and it is deeply flawed. Understanding its limitations is essential for accurate vulnerability management.
Every application that processes images depends on parsing libraries with a long history of memory corruption bugs. Here is what is at stake.
A 2010-era bypass resurfaced as CVE-2022-22965 on Spring Framework for JDK 9+. Here is how the disclosure, patch, and industry response actually went.
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