Safety by design - why Pictorus builds on Rust

Embedded systems have long been dominated by C and C++, but Rust has emerged as a superior language that addresses the inherent shortcomings of these established languages while offering modern features designed for safety-critical and performance-sensitive applications

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Rust outclasses C and C++ in several key areas

Ownership model: focusing on resource ownership instead of just usage

Rust shifts developers' focus from managing memory to resource ownership. While C/C++ developers manually handle pointers and memory references, Rust enforces ownership, ensuring memory safety at compile time.

If the code has ambiguous ownership or unclear variable lifetimes, the compiler will refuse to compile it, catching issues before they turn into runtime bugs.

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product screenshot for safety and performance

Memory safety without garbage collection

Ensuring memory safety without sacrificing performance is essential in embedded systems. C and C++ offer manual memory management but introduce common vulnerabilities like buffer overflows and use-after-free errors. While garbage-collected languages avoid these issues, they add runtime overhead and unpredictable pauses.

Rust solves this dilemma by eliminating memory vulnerabilities at compile time through its ownership system and borrow checker, without requiring a garbage collector that would compromise performance in critical control systems.

Zero-cost abstractions

Rust enables developers to write high-level, expressive code while maintaining performance. Unlike C++, where abstractions can incur hidden runtime costs, Rust’s zero-cost abstractions ensure that higher-level constructs are compiled into efficient, low-level machine code with minimal overhead.

Zero Cost Abstractions Graphic
Pattern matching

Strong type system and pattern matching

Rust’s powerful type system eliminates entire classes of common errors at compile time. Features like algebraic data types (`enum`s) and exhaustive pattern matching enable developers to write more expressive and error-resistant code compared to C and C++.

Common cybersecurity attack vectors in embedded systems

Hackers exploit common attack vectors in embedded systems, targeting memory vulnerabilities, insecure protocols, and weak authentication. Rust’s safety features help mitigate these threats.

Buffer overflows

Buffer overflows are a common attack vector in C and C++. Attackers exploit unchecked memory writes to overwrite adjacent memory, often inserting malicious code. Rust's memory safety model prevents buffer overflows at compile time.

Use-after-free attacks

These occur when memory is accessed after it has been deallocated, leading to the potential execution of arbitrary code. Rust’s ownership model ensures that references cannot outlive their allocated memory, eliminating this vulnerability.

Race conditions

Exploited in concurrent applications where multiple threads access shared memory unsafely. Rust enforces strict thread safety guarantees, preventing data races at compile time.

Stack and heap exploits

Attackers manipulate memory allocations to gain control over a system. Rust’s structured memory safety mechanisms mitigate these issues by preventing unintentional stack and heap corruption.

Insecure communication

Many embedded systems communicate over networks, making them vulnerable to attacks like Man-in-the-Middle (MitM) and replay attacks. Rust’s cryptographic libraries and secure coding practices help developers implement robust encryption and authentication mechanisms.

Code injection and remote exploits

Attackers often attempt to inject malicious code by exploiting memory corruption vulnerabilities. Rust’s strict compile-time checks and memory safety guarantees make it extremely difficult for an attacker to execute unauthorized code.

Developer friendly experience

Better tooling and a modern developer workflow

Rust’s tooling ecosystem, including `cargo` (its package manager and build system), `clippy` (linter), and `rustfmt` (formatter), provides a streamlined development experience. The Rust compiler offers extremely detailed and helpful error messages, reducing debugging time and improving code quality.

A modern developer experience on Rust
composable embedded ecosystem

Safer and more composable embedded ecosystem

Rust’s tooling ecosystem, including `cargo` (its package manager and build system), `clippy` (linter), and `rustfmt` (formatter), provides a streamlined development experience. The Rust compiler offers extremely detailed and helpful error messages, reducing debugging time and improving code quality.

Safe interfacing with hardware

Interacting with hardware requires precise control over memory and peripheral registers. While C and C++ provide this flexibility, they also expose developers to risks of undefined behavior. Rust’s `unsafe` keyword allows low-level control where necessary, but it forces developers to explicitly mark and justify unsafe operations, encouraging safer patterns.

Safe interfacing with hardware

Companies involved in safety critical Rust development

Several forward-thinking organizations are already working on Rust for safety-critical domains.

Companies involved in safety critical Rust development

Rust vs C++

C++ embedded systems rely on optional safety measures that require substantial developer discipline, specialized tools, and manual verification. Rust's approach is fundamentally different, with built-in guarantees enforced by the compiler—ensuring memory safety, concurrency protection, and type safety without runtime overhead.

Aspect
C++ (Optional Safety Measures)
Memory Safety & Ownership
Guaranteed by the compiler’s ownership model
Requires manual discipline or specialized static analysis tools
Concurrency Safety
Enforced through ownership rules and Send/Sync traits
Dependent on developer best practices and external verification tooling
Type Safety
Strictly enforced at compile time
Partial enforcement via optional compiler flags and coding standards
Error Handling
Robust Result/Option types with enforced error checks
Relies on optional exception handling or custom error‑checking patterns
Mutability Control
Immutable by default; mutability must be explicitly declared
Mutable by default; requires coding guidelines for const‑correctness
Unsafe Code Annotation
Unsafe operations must be explicitly marked (unsafe blocks)
Undefined behavior managed through coding conventions and reviews
Compiler Strictness
Comprehensive enforcement of safety and correctness invariants
Limited to warnings and flags; enforcement varies by compiler/version
Tooling & Verification
Mature open‑source tooling for linting, packaging, and testing
Tooling often proprietary, complex, and slower to integrate

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