AICyberEngine

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About this project

My name is Paweł Bodnar, and I am the architect behind this system — its creator, its only developer. But this isn’t just my story.

This project was born from the collective genius of a shadow circle — a network of multidisciplined warriors in the field of cybersecurity. Veterans of both sides of the digital divide. Experts with decades of firsthand experience in malware engineering, cryptographic warfare, and deep research into the anatomy of cyber threats.

Our mission was clear — and crazy: to build a system more powerful than anything on the market, on a budget of less than €100. That’s right. No flashy servers. No million-dollar cloud contracts. No corporate buzzwords. Just raw brainpower, passion, and pure defiance.

We set out to prove that creativity and true intelligence can beat glossy marketing, overengineered hardware, and bloated R&D. We weren’t trying to ride the wave of AI hype. In fact, we were already done building this system before AI was the buzzword of the year in cybersecurity boardrooms.

This is a machine born of fire — forged in late nights, deep dives, and algorithmic obsession. But even the most determined creator doesn't stand alone.

I want to extend my deepest gratitude to dr Bernd Schomburg. His mathematical brilliance, relentless support, and critical contributions were the compass in our chaos. Without his insight, this project might have remained just another dream lost in the static.

This system is proof that when free minds come together with nothing to lose and everything to build — the impossible bends to will.

One more thing — we’ve created and offered this system entirely non-profit, as a pro bono service for the public good. It is created entirely in our private time and unrelated to our proffesional activities

We don’t use cookies, collect or sell your data, or accept any financial contributions. Yes — this is still possible in today’s world!

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Why is AICyberEngine Different — and Better?

The cybersecurity world is drowning in buzzwords. From AI to zero trust, it's become more about marketing than meaning. And unlike software engineering, cybersecurity has been shaped mostly by professionals from outside core computer science. They’re skilled users of complex, expensive tools—but rarely grounded in the foundational theory of how computers really work.

Here’s the twist: most security solutions focus on surface-level symptoms—how attacks look, which language they're written in, or what network channel they exploit. That changes daily.

It’s a cat-and-mouse game. At the end it will always leave you with regular defeats.

AICyberEngine plays a different game.

Born from the minds of a computer scientist and a mathematician, this engine goes straight to the essence of what an attack really is: a violation of the computational model itself. We analyze malware based on how it interacts with the architecture of real machines—not based on cosmetic changes, tricks, or disguises. As long as the attack targets a computer—from IoT devices and smartwatches to mobile phones and laptops—we’ll see it. No matter how it’s hidden. No matter how new or “advanced” it claims to be.

Right now, we support x86-64 architecture, and we’re expanding.

If you want to detect all possible malware—present and future—for real-world computers, AICyberEngine isn’t just another tool.

It’s the breakthrough.

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Our Cyberengines

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AICyberEngine Architecture

Our system is built on a scalable network of engines — from powerful cloud infrastructures to compact single-board computers like the Raspberry Pi. This flexibility is made possible by our unique approach to machine learning.

Instead of relying on resource-hungry large language models (LLMs), we’ve taken a leaner, smarter path using supervised training. By leveraging our expertise and deep research, we've identified the most meaningful features within executables — drastically reducing the computational power required to run our neural network.

Each engine in the network collaborates to analyze your malware sample. They negotiate, process, and return a clear verdict: malware or not.

As for what malware really means to an end-user — well, that’s a conversation worth having on its own.

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Submit Your File

Creating a powerful system and running it across multiple organizations on a modest €100 budget? Absolutely—we made it happen.

Though the platform was built to serve users worldwide, the growing volume of requests quickly pushed costs up. On top of that, we became a prime target for malware developers attempting to reverse-engineer our algorithms and launch DDoS attacks to block you from detecting their threats.

Right now, we’re fine-tuning the system and rebuilding parts of it, including transitioning from the MXNet framework to a more advanced neural engine.

We’ll be back online soon—smarter, stronger, and ready to serve you better than ever.