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Disrupt or be disrupted

In 2018, Intrusion launched a network appliance that would sit between an internal network and the rest of the internet, using their unique 1 billion+ IP address database.

• Data science & data set management
• High scale firmware
• Hardware product
• Analytics
• Management console
• Multi-tenancy

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Communicate process issues and drive change through an engineering dominant culture.

Over the last couple of years, Intrusion has taken their appliance to market with great success, eliminating network-based breaches for their customers at scale.

Each one of these areas requires unique and complicated processes in order to achieve the results needed for the fast-moving cybersecurity market. On top of that, the process for keeping up with new hardware and firmware requirements is tedious and time consuming—it must be managed meticulously.

Once each area achieves its goal, the entire product must be brought together into one package that can be delivered to customers. This is a unique challenge because each team requires different cadences for their work, have different sets of requirements, and have different processes to manage their own intricacies.

Due to the unique nature of their business, Myron Schram, VP of Product, has struggled to effectively communicate and drive process changes to increase their rate of innovation.

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From “excels and powerpoints” to Bloomfilter, “a game-changing platform.”

Intrusion was trying to manage their complex processes and reporting with “excels and powerpoints,” shares Myron.

“We were exporting data from Jira into a spreadsheet, and then I had to transform that data into something useful for a specific audience. It was a huge waste of time, and resulted in data that was perpetually out of date.”

We were exporting data from Jira into a spreadsheet, and then I had to transform that data into something useful for a specific audience. It was a huge waste of time, and resulted in data that was perpetually out of date

Intrusion was trying to manage their complex processes and reporting with “excels and powerpoints,” shares Myron.

“We were exporting data from Jira into a spreadsheet, and then I had to transform that data into something useful for a specific audience. It was a huge waste of time, and resulted in data that was perpetually out of date.”

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Value realized within 30 days

• Improved their predictability of SDLC pipeline (85% of sprints hit goal, up from 25%)
• Reduced the wait time between different stages of software by 30-40%
• Doubled the velocity of software delivery (measured in points or task throughput)
• Optimized staffing and resource allocation process for business leaders
• Accelerated and improved software development in less than 60 days

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