TrustInSoft

Formal methods have long promised more reliable and safe software. So why aren’t they being used more in industry? 👀

In his C++Now 2026 presentation, Steve Barriault explores what’s holding formal methods back and what it will take to turn them into a software quality solution that teams can actually use.

🎥 Watch the full replay now: https://zurl.co/9LLdg

How To Make Formal Methods A Software Quality Solution That Can Actually Be Used In The Industry https://www.cppnow.org​---How To Make Formal Methods A Software ...

AI can accelerate software development but it can also accelerate the spread of bad code.

🧠 When AI models learn from existing codebases, they may reproduce the same vulnerabilities developers are trying to eliminate. That means rigorous verification has become more important than ever.

TrustInSoft Analyzer helps teams identify critical memory safety issues and verify AI-assisted code before it becomes someone else's problem.

The answer isn't to slow down AI adoption. It's to pair AI-assisted development with rigorous, exhaustive verification.

Learn more in the full blog: https://zurl.co/JFWDy

🦀 Check out this replay of Rolland Dudemaine's presentation from Rust Paris earlier in the summer, to learn about the "remaining" bugs in Rust code, and what additional tools and techniques to use to find them efficiently.

Watch now: https://zurl.co/0FB7p

Rust Paris 2026 - Présentation de Rolland Dudemaine - TrustInSoft What’s left to find in Rust code? avec Rolland Dudemaine, Directeur...

Traditional testing only verifies the scenarios you expect. It can't prove the absence of bugs you never thought to test for.

That's where buffer overflows, integer overflows, and undefined behavior can remain hidden up until they cause failures in production. ❌

In our technical brief, we explore how formal methods-based exhaustive static analysis goes beyond traditional verification to mathematically prove the absence of entire classes of runtime errors.

Read the full technical brief here: https://zurl.co/hB6gq

AI is writing more production code than ever but this won't stop regulators from raising the security bar. 🛡️

Whether code is written by a developer or generated by AI, it must still meet the requirements of the EU Cyber Resilience Act.

In our latest blog, we discuss how TrustInSoft Analyzer applies the same mathematical verification to every line of code, helping teams build secure-by-design software and prepare for CRA compliance.

Read the full blog: https://zurl.co/ZSogy

Less than 2 months left for the implementation of the EU Cyber Resilience Act (CRA). ⏰

The CRA is raising the bar for software security, proving compliance will require more than testing alone- and we're here to help.

Learn how TrustInSoft Analyzer helps organizations demonstrate secure-by-design practices with mathematical proof of the absence of entire classes of vulnerabilities, strengthening both compliance and cybersecurity.

Read more in the new blog: https://zurl.co/ci2Mc

How TrustInSoft Analyzer Helps Meet EU CRA Requirements Learn how TrustInSoft Analyzer helps prove CRA compliance with mathematical verification, secure-by-design evidence, and vulnerability reporting readiness.

Why is TrustInSoft Analyzer the perfect complement to AI?

🧠 Because the future of software development shouldn't force a choice between productivity and trust.

AI helps teams build software faster and TrustInSoft Analyzer provides mathematical proof that code is safe, secure, and compliant, efficiently reducing risk while accelerating innovation.

Productivity and trust don't have to be opposites. With formal verification, they're stronger together. 🤝

Learn more: https://zurl.co/k3vMA