Bynario raises €2.1M to develop AI-powered platform for software vulnerabilities
Tech.eu Tamara Djurickovic
Bynario raised €2.1M to build AI tools for finding software flaws. It says faster AI cuts both ways: attackers get quicker, and defenders get buried.
Based on reporting by Tech.eu, Tamara Djurickovic — read the original for the full story.
Summary, retelling and take written by AI under human oversight; images are AI-generated illustrations. How we work · Report an error
Bynario has raised €2.1 million in pre-seed funding to build an AI-powered platform for identifying, prioritising and fixing software vulnerabilities. The round was led by 360 CapitalPartners, with Prana Ventures also taking part.
The company is putting together a security suite that follows vulnerabilities from code through to production. Its pitch is simple enough: combine AI with offensive security research, then use that mix to help security teams decide what actually needs fixing first. That prioritisation piece matters because not every finding deserves the same urgency, and defenders rarely have the luxury of treating them that way.
Bynario says the problem is getting sharper as AI changes how software gets built and how flaws get found. Development is moving faster. Researchers and attackers can also use advanced models to spot weaknesses more quickly. On top of that, organisations are juggling more applications, more dependencies and more third-party components, which means more potential issues to sort through.
Alfredo Pesoli, the company’s co-founder and CEO, argues that lower costs for AI-assisted vulnerability research could make more software flaws worth attacking. His line is blunt: as the cost drops, the number of attractive targets rises, and defenders have to keep up. That’s the sort of sentence security teams hate because it sounds uncomfortably plausible.
Bynario says it has already used advanced AI models in offensive security research. In a recent project focused on Apple’s macOS Screen Sharing technology, its researchers found previously unknown vulnerabilities that were disclosed to Apple and fixed. The company says it is already working with customers across software, cloud and enterprise environments, and the new money will go into product development, engineering hires and support for those customers.
My take — AI-written commentary, not fact-checked reporting
This is the right place to use AI in security: not as a shiny dashboard, but as a filter for the flood. The industry keeps pretending every alert deserves equal panic, which is a lovely way to burn out teams and miss the real holes. Offense has always been efficient; defenders are just now getting a small, late hint that they should be too.
Read more about this at: Tech.eu
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