Bynario Raises €2.1M to Build the Defensive Side of AI-Powered Security

Last month, our researchers used frontier AI models to uncover serious vulnerabilities in Apple’s macOS Screen Sharing technology.

The research, reported by the Financial Times, offered a glimpse of how quickly vulnerability research is changing. AI can dramatically accelerate the process of finding and exploiting weaknesses in software. That is powerful in the hands of security researchers. In the hands of attackers, it changes the economics of software security altogether.

Today, we’re announcing a €2.1 million pre-seed round to help build the defensive side of that equation.

The round was led by 360 Capital Partners, with participation from PranaVentures. We’ll use the funding to accelerate development of Bynario’s AI-powered security platform, grow our engineering team and support customers dealing with increasingly complex software environments.

The economics of vulnerability research are changing

Attackers have always been incentive-driven. What AI changes is the cost.

As frontier models become better at understanding code, reasoning about complex systems and identifying potential weaknesses, the cost of finding and exploiting vulnerabilities falls. That means more vulnerabilities (including previously uneconomic n-days) become viable targets.

“Defense at scale needs the same depth as offense,” says Alfredo Pesoli, CEO and co-founder of Bynario. “As AI continues to reduce the cost of vulnerability research and exploitation, more exploitable vulnerabilities and n-days become attractive targets. The challenge for defenders is only becoming more acute.”

We’ve already seen this shift first-hand.

As part of an offensive security research programme, our researchers used frontier AI models to investigate Apple’s macOS Screen Sharing technology, uncovering serious vulnerabilities in the process. The findings were responsibly disclosed to Apple, which subsequently issued fixes for the affected vulnerabilities.

The point of the research wasn’t simply that AI could help find bugs. It was how much more capable vulnerability research becomes when experienced security researchers can use these models to reason through complex software at speed.

And the same capabilities are increasingly available to attackers.

Defenders have a scale problem

At the same time, there is simply more software to secure.

AI is increasing developer productivity, while organisations are deploying more applications, dependencies and third-party components across cloud, enterprise and increasingly AI-native environments.

Software vulnerabilities are now the most common pathway into enterprise systems, accounting for 31% of incidents in Verizon’s 2026 Data Breach Investigations Report.

For security teams, the problem is no longer just finding vulnerabilities. It is determining which ones represent genuine risk, validating whether they can actually be exploited, prioritising them against everything else demanding attention, and getting them fixed.

Doing that manually doesn’t scale.

That is the problem we’re building Bynario to solve.

From finding vulnerabilities to fixing them

Bynario is building a suite of security products designed to identify, validate, prioritise and remediate software vulnerabilities at scale.

Our aim is to give defenders the same depth of reasoning increasingly available on the offensive side, while automating the work required to turn that understanding into action.

That means moving beyond vulnerability discovery towards continuous exposure management: understanding what is actually exploitable, determining what matters most, and reducing the time between discovering a weakness and fixing it.

We’re already working with customers across software, cloud and enterprise environments to reduce remediation times and improve visibility into software risk.

The team behind Bynario brings together senior security researchers, engineers, entrepreneurs and academics, combining deep offensive security expertise with experience building and deploying real-world products.

“The complexity of modern software demands a different approach to security,” says Giancarlo Russo, COO and co-founder of Bynario. “We’ve assembled a team of security researchers, engineers, entrepreneurs and academics who understand both the theory and practice of cybersecurity. That combination allows us to bridge the gap between cutting-edge security research and practical solutions that organisations can deploy at scale.”

Building Bynario

Our new funding gives us the resources to push that work further.

“We have known the majority of the founding team for a long time and we were deeply impressed by Alfredo’s clarity of vision and technical breakthrough,” says Cesare Maifredi, Partner at 360 Capital. “Bynario’s approach of autonomous vulnerability discovery, validation, prioritization, and remediation is what is needed in modern cybersecurity. We are proud to stand alongside them as they build this game-changing AI-based platform from the ground up.”

AI is going to make vulnerability research faster, cheaper and more accessible. That shift has already started.

The defensive side now needs to scale with it. That’s what we’re building at Bynario.