Bynario, a Milan-based cybersecurity startup, raised $2.3M pre-Seed after its AI models exposed serious Apple vulnerabilities. Here's what they're building next.
Bynario, a Milan-based cybersecurity company, just closed a $2.3 million pre-Seed round. The funding was led by 360 Capital Partners, with PranaVentures joining in.
What makes this raise interesting isn't the amount. It's the timing. Bynario's researchers used frontier AI models to uncover serious flaws in Apple's operating systems. That's not a small thing.
"Attackers are fundamentally incentive-driven," said Alfredo Pesoli, CEO and co-founder of Bynario. "As AI continues to reduce the cost of vulnerability research and exploitation, more exploitable vulnerabilities become attractive targets. The challenge for defenders is only becoming more acute."
He's not wrong. And that's exactly the problem Bynario is trying to solve.
### What Bynario Actually Does
Founded in 2025 by Pesoli, Giancarlo Russo, and Lorenzo Cavallaro, Bynario builds an autonomous application security platform. It helps organizations identify, validate, prioritize, and fix software vulnerabilities at scale. That covers code, cloud infrastructure, and the software supply chain.
Here's the key difference. Instead of flagging every possible issue, Bynario's platform confirms which vulnerabilities are actually exploitable in a customer's environment. That means security teams can focus on what matters instead of drowning in alerts.
The company already works with customers across software, cloud, and enterprise environments. They say they're helping these teams cut remediation times while giving them clearer visibility into software risk.
### The Apple Discovery That Changed Everything
Bynario shot to fame after its researchers used frontier AI models as part of an offensive security research program. In August, they uncovered serious vulnerabilities in Apple's macOS Screen Sharing technology. They disclosed the findings to Apple, which then issued fixes for the affected vulnerabilities.
That discovery wasn't just a headline. It showed how quickly AI tools can now accelerate the discovery and exploitation of previously unknown software flaws. And it put real pressure on defenders who still rely largely on manual investigation.
According to Verizon's 2026 Data Breach Investigations Report, software vulnerabilities are now the most common route into enterprise systems. They account for 31% of incidents. As tools push developers to ship more code, the sheer volume makes it hard for security teams to separate real risk from noise.
"Bynario's approach of autonomous vulnerability discovery, validation, prioritisation, and remediation is what is needed in modern cybersecurity," said Cesare Maifredi, Partner at 360 Capital. "We are proud to stand alongside them as they build this game-changing AI-based platform from the ground up."
### Beyond Vulnerability Discovery
While its claim to fame is vulnerability discovery, Bynario wants to go further. The Milan-headquartered startup wants to build a continuous exposure management layer. One that keeps pace with how fast modern software and the threats against it are evolving.
With the cybersecurity skills shortage continuing to leave many organizations unable to keep up with a growing volume of vulnerabilities, Bynario is betting that autonomous, AI-driven defense is the alternative to manual triage.
The fresh capital will go toward accelerating the development of Bynario's AI-powered security platform, growing its engineering team, and scaling to meet enterprise demand.
### What This Means for the Cybersecurity Landscape
Bynario's raise is a signal. AI is changing the game on both sides. Attackers are getting faster and cheaper. Defenders need to keep up. And investors are paying attention.
The $2.3 million pre-Seed is small compared to some rounds. But for a company that's already making waves with Apple-level discoveries, it's a strong start. The real test will be whether Bynario can turn its early momentum into a platform that enterprises actually rely on.
For now, the team is heads-down. Building. Hiring. Scaling. And if their AI can keep finding flaws that humans miss, they might just become the go-to defense for a world where software never stops growing.