Legacy Data into an AI-Powered Cybersecurity Management Platform

Cyber Sentinel Risk Management Hub: A Partnership for Success

Our client, a cybersecurity enterprise founded in 2015, brings together seasoned experts who help businesses navigate cyber risk. As their main design and development partner, SH built the solution from scratch, turning a prototype decision-making tool for C-suite executives into a fully tailored, scalable product. We went through the entire development cycle together, with the client's experienced team providing invaluable insight and guidance at every stage.

The Challenge

In the summer of 2020, our client had a concept, extensive technical documentation, and open questions about how to implement the product. Initial corporate customers were already using the prototype, and the company was generating revenue. The priority: keep that momentum while elevating the product. Our task was to deliver a smooth transition and an intuitive user interface for customers, and to clear the way for faster growth.

The Solution

We started with an in-depth analysis of the prototype. The customers' needs and the client's ambitions could easily fill a few years of work, so deciding what to build first was a challenge in itself. A two-month Product Discovery process, with numerous workshops and Miro boards, gave us a prioritized feature list for the demo version of the product. The goal was to get a sellable product to market fast, so we assembled the team and got to work.

Once the MVP was up and running, we expanded the offering to an entirely new target market: private equity companies. Continuous discovery and development kept improving a solution that initially wasn't user-friendly and offered limited customization.

Navigating Cyber Risk Decisions with Confidence and Rapid Growth.

The Process

We built a custom front-end that translates mathematical computations into digestible information, so companies can evaluate different cyber risk mitigation strategies. The model aligns with NIST and CIS cybersecurity frameworks, keeping the product in line with market standards.

The team grew significantly throughout the project, and a strong track record of high NPS scores confirmed that the work consistently met and exceeded expectations.

The platform handles highly sensitive data, so we set up a dedicated GCP cluster in the client's preferred location for optimal security and infrastructure control. We also integrated code quality review and cloud-based monitoring tools to detect and resolve potential issues before they reach end users.