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.
GitHub split Advanced Security into Code Security and Secret Protection in 2025. Here's how CodeQL SAST actually works, what it misses, and how Safeguard fills the supply-chain gap.
GitHub spent nine months clearing 20,000+ secret scanning alerts across 15,000 repos, finding 90% were noise. Here's how they beat alert fatigue, and how Safeguard automates it.
Regex-based secret scanners like GitHub Advanced Security flood teams with false positives. Here's how context-aware LLM reasoning cuts the noise without missing real leaked credentials.
SAST, DAST, and IAST each test different things. Here's how Checkmarx positions its platform, and where Safeguard's supply chain approach fits alongside it.
False positives waste engineering time; false negatives cause breaches. A verifiable, metrics-based look at how Safeguard and Checkmarx approach scan accuracy.
Vulnerability assessment and penetration testing solve different problems. Here's how Safeguard's supply chain approach compares to Checkmarx's AppSec platform.
A heap buffer overflow in Pillow's SGI image decoder (CVE-2021-25287) let crafted images corrupt memory. Here's the impact, fix, and remediation guidance.
CVE-2021-25288 is a buffer overflow in Pillow's FLI decoder, fixed in Pillow 8.1.0. Here's what's affected, the risk profile, and how to remediate.
AppSec teams drown in false positives. See how Safeguard's supply-chain-native triage compares to Checkmarx's SAST-driven approach on reachability, context, and workflow fit.
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