▍About MountainBay

"MountainBay started where most good ideas do — on a warehouse floor, surrounded by alarms, sticky notes, and repetitive tasks. When I learned to code, I realized how much time and clarity we could gain by using the right tools — web scraping, automation, machine learning.

The second piece clicked years later, during my time as a cybersecurity speaker. There I saw firsthand how hopelessly underinformed most organizations are about the threats they face. One day I read about companies being hacked through Microsoft Exchange — not by surprise, but because the warning signs were buried in noise.

That’s when MountainBay started to take shape. Not as another alerting tool, but as a predictive engine trained on real-world security data." -Einar

Instead of reacting to CVEs after the fact, we look at patterns — recurring breach types, unusual signals, emerging attacker behaviour. Our system filters through thousands of security sources and extracts what matters, helping organizations assess risk before it becomes reality.

The result? A dynamic risk score between 0–100, modeled not on gut feeling, but on actual indicators — exposure, activity, and response quality. Think of it like a credit rating, but for cyber risk.

We’re not here to sell fear. We’re here to reduce the noise, raise signal clarity, and help teams see the storm before it hits.