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.
Applications built on large language models introduce novel attack surfaces that traditional security testing does not cover. This guide addresses the specific testing methodologies needed for LLM applications.
Property-based testing defines invariants about program behavior and generates thousands of test cases automatically. For security code, the right properties can catch vulnerabilities that example-based tests miss.
Mutation testing measures whether your security tests actually catch bugs by introducing small changes to code and checking if tests fail. Here is how to apply it to security-critical code.
Fuzz testing discovers crashes, memory corruption, and logic errors by feeding random inputs to software. Applied to supply chain components, it reveals vulnerabilities that code review and static analysis miss.
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