application-security
Safeguard articles tagged "application-security" — guides, analysis, and best practices for software supply chain and application security.
642 articles
Web Application Threats: What They Are and How to Defend Against Them
A practitioner's map of the web application threat landscape — injection, broken access control, supply-chain risk — and the defenses that actually blunt each one.
Rust memory safety and its security advantages
Memory safety bugs cause ~70% of Microsoft's CVEs. Here's how Rust's ownership model eliminates them at compile time, with real CVE examples.
Type-safe languages and their security benefits
Type safety eliminates entire CVE classes, not one bug at a time. Here's what the Microsoft, Google, and CISA data actually shows about the security payoff.
.NET and NuGet dependency vulnerability management
NuGet packages have delivered RATs, crypto stealers, and undisclosed data collection to .NET teams. Here's how to detect and defend against .NET/NuGet supply chain risk.
Securing Laravel PHP applications
CVE-2021-3129, leaked APP_KEYs, and Eloquent mass assignment still compromise Laravel apps in 2026 — here's how each attack works and how to close it.
Securing WordPress plugin dependencies
Real CVEs, a supply-chain hack that hit 360,000 sites, and bundled-library blind spots: what WordPress plugin security actually requires in 2026.
RASP vs. SAST vs. DAST vs. IAST: How They Differ
SAST vs DAST vs IAST vs RASP comes down to when each technique looks at your application — source code, a running test instance, instrumented runtime tests, or production traffic — and picking the wrong stage leaves real gaps.
First-Party Code vs Open Source Risk: Where Should AppSec...
First-party code and open source dependencies are one attack surface. See how Safeguard's unified scanning compares to Endor Labs' open-source-first approach.
AI SAST: How AI-Native Static Analysis Finds Business Log...
Traditional SAST can't see business logic flaws because there's no bad syntax to match. Here's how AI-native static analysis finds them, and how Safeguard's approach compares to Endor Labs.
AI Security Code Review for Pull Requests
How AI code review security works in pull requests, where Endor Labs stops short, and what closes the gap between diff review and real supply chain risk.
Secrets Detection in Source Code: What Gets Missed by Reg...
Regex-based secrets scanners miss encoded, multi-line, and historical secrets in git history. Here is what a real secrets detection tool must catch.
Secrets management: tools and best practices
Secrets leak because of workflow gaps, not carelessness. Here's how vaults, scanners, and rotation policies actually stop credential exposure.
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