Threat Hunting in the Software Supply Chain
Proactive threat hunting techniques adapted for software supply chain security—because waiting for alerts isn't enough when adversaries hide in your dependencies.
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.
Proactive threat hunting techniques adapted for software supply chain security—because waiting for alerts isn't enough when adversaries hide in your dependencies.
AST analysis parses code into a tree to catch what regex scanning misses — here's how it works, its limits, and how reachability fixes the gap.
By default, every pod can talk to every other pod. Network policies change that, but most implementations are incomplete. Here is how to build real microsegmentation in Kubernetes.
A decade of Ruby CVEs — from CVE-2013-0156 to CVE-2022-32224 — shows how Marshal.load and YAML.load turn untrusted input into remote code execution.
Most DevSecOps tool integrations fail because they are bolted on rather than designed in. Here are integration patterns that provide security value without breaking the developer experience.
Designing and running a security champions program specifically for supply chain risks, including recruitment, training, cadences, and measurable impact.
Semantic code analysis traces how data actually flows through code to find real vulnerabilities — cutting false positives that plague pattern-matching SAST tools.
A step-by-step bundler-audit tutorial for scanning Ruby gems against known CVEs, patching vulnerable dependencies, and enforcing the check in CI.
Setting vulnerability remediation deadlines is easy. Actually meeting them is hard. This guide covers practical SLA frameworks that balance security urgency with engineering reality.
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