LLM-Augmented Bug Discovery Methodology
A practitioner's methodology for using LLMs to augment — not replace — traditional bug discovery workflows, with patterns that hold up under real review load.
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.
A practitioner's methodology for using LLMs to augment — not replace — traditional bug discovery workflows, with patterns that hold up under real review load.
Compare GitGuardian and TruffleHog on detector coverage, validation, historical scans, developer workflow, and pricing to pick the right secret scanning tool.
Compare Semgrep and CodeQL on rule authoring, language coverage, taint analysis, scan time, IDE integration, and pricing to choose the right SAST engine in 2024.
HTTP request smuggling exploits disagreements between frontend and backend servers about where one request ends and the next begins. This guide covers CL.TE, TE.CL, and TE.TE variants with detection and defense strategies.
Authentication bypass vulnerabilities let attackers access protected resources without valid credentials. This guide covers the most common bypass patterns found in modern web applications and how to prevent each one.
NoSQL injection attacks exploit the query languages of non-relational databases to bypass authentication, extract data, and modify records. This guide focuses on MongoDB injection with defenses applicable to all NoSQL databases.
File upload functionality is one of the most dangerous features in web applications. This guide covers the attack vectors, bypass techniques, and layered defenses needed to handle file uploads securely.
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