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Memory-Safe Languages: Why Governments Are Mandating Rust (and Should You Care)

CISA and NSA guidance now treats memory-safe languages as a baseline expectation, not a nice-to-have, for vendors in critical infrastructure and government-adjacent sectors. Here's what's actually driving it.

The vulnerability class this eliminates by construction

A large share of serious security vulnerabilities across decades of software — buffer overflows, use-after-free, and similar memory-management bugs — trace back to languages like C and C++ that require developers to manage memory manually and correctly, every time, with no safety net if they don't. Memory-safe languages like Rust build the safety net into the language itself, catching entire categories of these bugs at compile time instead of relying on every developer getting manual memory management right, every time, forever.

What CISA and NSA actually recommend

Joint guidance from CISA and NSA frames memory-safe language adoption around four safeguards: language-level protections, library support, robust tooling, and developer training. Notably, the published guidance stops short of a hard universal deadline — but it's explicit that this is a strategic expectation for vendors in critical infrastructure or competing for government contracts, not an optional best practice buried in a recommendations appendix.

Why "no hard deadline" doesn't mean "no pressure"

The absence of a fixed date is doing less work than it looks like. Procurement requirements referencing memory safety are increasingly showing up piecemeal across contracts and RFPs rather than as one sweeping mandate — meaning the practical deadline is different for every vendor, arriving quietly through the contracts they're already trying to win rather than through a single government-wide cutoff.

Where this actually matters for a new build

Where it's not the deciding factor

Not every project needs this consideration to drive the language choice. A typical web application's attack surface usually isn't dominated by memory-safety bugs the way a network daemon's or an embedded system's is — for a lot of custom software and SaaS work, other factors (team familiarity, ecosystem maturity, hiring pool) reasonably outweigh this one. The point isn't "use Rust for everything" — it's knowing when the risk profile actually calls for it.

Higher priorityLower priority
Systems parsing untrusted external input directlyApplications where a mature framework already handles that boundary
Long-lived infrastructure and network-facing servicesShort-lived internal tools with a small, trusted user base
Vendors selling into regulated/government-adjacent marketsProducts where the buyer never asks about the language at all

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Frequently asked questions

Does this mean we should rewrite existing C/C++ systems in Rust?

Not automatically — a full rewrite carries its own risk and cost. The more common, lower-risk approach is writing new components in a memory-safe language and migrating the highest-risk existing surfaces incrementally, rather than a wholesale rewrite.

Is Rust the only memory-safe language that matters here?

No — Go, Java, C#, and several others are memory-safe in the relevant sense. Rust gets particular attention because it achieves memory safety without a garbage collector, making it viable for systems-level and performance-sensitive code that previously had no memory-safe alternative.

Does memory safety mean a language is secure overall?

No — memory safety eliminates one significant, historically serious vulnerability class. Logic errors, authorization bugs, and misconfigurations are still possible in any language, memory-safe or not.

Is this relevant outside government-adjacent industries?

The compliance pressure is concentrated there, but the underlying engineering argument — fewer entire classes of bugs, caught earlier — is relevant to any long-lived system handling untrusted input, regardless of who the customer is.

HS
Written by the Hardened Soft engineering team
We write about the decisions we make on real client projects — cost trade-offs, architecture patterns, and the parts of a build that don't show up in a sales pitch.