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 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.
Shadow and zombie APIs caused breaches at Optus, T-Mobile, and Peloton. Here's why code-scanning tools miss them and what API security best practices actually work.
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