Memory corruption destroys real systems. Rust was built to stop it.
Every year, roughly 70% of critical security patches address memory safety vulnerabilities. Yet writing code that compiles in Rust is only the first step. Logic flaws, injection attacks, and architectural gaps can still compromise a perfectly memory-safe application.
Secure Coding in Rust bridges the gap between safe code and genuinely secure systems. Grounded in adversarial thinking and real-world threat modeling, this book equips systems programmers, backend engineers, and security professionals to build production-grade software that resists determined attackers.
What you will master:
- How Rust's ownership model and borrow checker eliminate buffer overflows and use-after-free vulnerabilities at compile time
- Defensive error handling, strict input validation, and data race-free concurrency patterns that close runtime attack vectors
- How to safely write, isolate, and formally verify unsafe code and FFI boundaries without introducing memory corruption
- Secure networking fundamentals: authentication, secrets management, serialization hardening, and injection prevention
- Coverage-guided fuzzing, static analysis, dependency auditing, and structured threat modeling
- Production hardening: distroless containers, syscall sandboxing, and structured incident observability
Whether you are migrating from C or C++, building secure networked APIs, or auditing existing Rust infrastructure, this is your hands-on, progressive guide to engineering systems-level software that is both memory-safe and architecturally secure.
Stop writing code that merely compiles. Start engineering systems that cannot be broken.
