To better serve cybersecurity professionals in the United States government, Data Society built APOLLO, a search engine that empowers cybersecurity professionals to quickly identify risk remediation techniques at strategic and tactical levels, in a prioritized format, to protect and serve our nation.
For cybersecurity professionals in the United States government, identifying and mitigating cyber threats are critical aspects of their role. While seasoned professionals readily identify risk remediation techniques, many seeking strategic approaches to threats or tactics to mitigate risk lacked the means to do so at scale.
Even as specific techniques were identified, tactical implementation approaches were not immediately accessible, and plotting a complex workflow of next steps slowed action to remove threats. Barriers included searching for products that could help determine if vendors had the experience and capacity to effectively solve cybersecurity threats before going through procurement.
The U.S. government required one central, dynamic, and always current platform where cybersecurity professionals could find tactical approaches to mitigate risks and search for qualified vendors that solved similar challenges for the government.
To start, there were extensive user interviews where several priority features emerged:
To meet this need, Data Society designed a user interface that could quickly and accurately identify the threat and vector, show multiple remediation strategies, prioritize potential solutions, identify and rank vendors, and provide key workflows and next actions in easy-to-understand and intuitive views.
Software design included identifying appropriate data from academic, digital media, government, and commercial sources to provide a complete picture of technology trends, vetted solution providers, and contractors with relevant government and commercial experience related to cybersecurity challenges.
Our ETL process included data collection, data extraction, transformation, and loading into a database, and building the architecture of a database that could be hosted on the government’s Cloud One platform. Data Society then developed a recommendation algorithm to serve up records relevant to searches the users enter into the front-end search bar.