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Built in Rust

Security, speed, and reliability crafted into every line of code.

Built with Rust Power

At OverallWorks, we choose Rust to ensure our software delivers unmatched security, speed, and reliability for demanding industries.

A sleek, modern workspace with developers collaborating over Rust code on multiple screens.
A sleek, modern workspace with developers collaborating over Rust code on multiple screens.

FAQs

Why Rust?

At OverallWorks, we use Rust because it enables us to build software that is secure, fast, and reliable by design. Rust’s memory-safe architecture reduces entire classes of vulnerabilities, making it ideal for tools that handle sensitive data and AI-driven workflows. Its high performance and low overhead allow our solutions to run efficiently on local systems without sacrificing stability or control. Most importantly, Rust gives us the confidence to deliver enterprise-grade software that is secure, predictable, and built to last.

Is Rust secure?

Rust’s memory-safe architecture eliminates entire classes of vulnerabilities common in traditional systems programming:

  • No null pointer dereferencing

  • No buffer overflows

  • No use-after-free errors

  • No data races by default

How does Rust improve performance?

Rust delivers near-C/C++ performance without sacrificing safety.

That means:

  • Fast file scanning and processing

  • Efficient handling of large datasets

  • Low memory overhead

  • Predictable execution behavior

For tools like PII Protect Suite, this allows:

  • Local execution without cloud latency

  • High-throughput scanning

  • Minimal system impact

All while maintaining enterprise-grade reliability.

Who benefits most?

Regulated industries and security-focused teams gain the most advantage.

Why choose Overallworks for Rust development?

We build secure, high-performance Rust solutions designed for real-world use. Our approach combines deep engineering expertise with a security-first mindset—delivering fast, reliable, and maintainable software built to handle sensitive data, scale efficiently, and stand up to enterprise demands.