Frequently Asked Questions

About the APOLLO Cybersecurity Semantic Search Engine

What is the APOLLO cybersecurity semantic search engine?

The APOLLO cybersecurity semantic search engine is a custom AI-powered platform developed by Data Society for the U.S. government. It enables cybersecurity professionals to quickly identify, prioritize, and implement risk remediation techniques, as well as evaluate qualified vendors for cybersecurity solutions. The platform aggregates data from multiple sources, applies natural language processing (NLP), and uses AI to deliver mission-relevant recommendations and workflows.

Who was the client for the APOLLO project?

The client for the APOLLO project was the Air Force Cyber Resiliency Office for Weapons Systems (CROWS), a division of the U.S. Department of Defense focused on identifying and mitigating cybersecurity vulnerabilities in weapon systems.

What was the contract value and duration for the APOLLO project?

The APOLLO project was awarded a contract valued at 0,000 and was executed over the period 2019–2020.

What challenge did the APOLLO platform address for government cybersecurity professionals?

The APOLLO platform addressed the challenge of enabling cybersecurity professionals to efficiently identify and implement risk remediation techniques at both strategic and tactical levels. It also provided a centralized, dynamic platform to access up-to-date information on threats, remediation strategies, and qualified vendors, overcoming barriers such as fragmented information and slow workflows.

How does the APOLLO search engine help cybersecurity analysts?

The APOLLO search engine allows cybersecurity analysts to summarize risk remediation techniques from multiple playbooks, rank solutions by effectiveness, compare options at both strategic and tactical levels, and evaluate vendors who provide parts of the remediation technique. It presents information in intuitive, easy-to-understand views and supports workflow planning for threat mitigation.

What data sources does APOLLO use to provide recommendations?

APOLLO aggregates data from academic, digital media, government, and commercial sources to provide a comprehensive view of technology trends, vetted solution providers, and contractors with relevant experience in cybersecurity challenges.

How does APOLLO's recommendation algorithm work?

APOLLO's recommendation algorithm serves up records relevant to user-entered searches by extracting, transforming, and loading data into a database, then applying AI and NLP techniques to match queries with the most relevant remediation techniques and vendor solutions.

What are the key features of the APOLLO platform?

Key features of the APOLLO platform include: prioritized risk remediation recommendations, vendor evaluation and ranking, intuitive user interface, workflow planning, product comparison tools, and the ability to drill down from strategic to tactical information for each threat scenario.

How does APOLLO support vendor evaluation for government procurement?

APOLLO enables users to search for products and vendors that have previously worked with government agencies, compare their offerings, and assess their capacity and experience in solving cybersecurity threats, streamlining the procurement process.

Is the APOLLO platform adaptable for future government use cases?

Yes, the APOLLO platform was designed to be flexible and can evolve to accommodate various future use cases for the U.S. government beyond its initial cybersecurity focus.

What was the main KPI for the APOLLO project?

The main KPI for the APOLLO project was developing a custom search platform for U.S. cybersecurity professionals to improve the identification and implementation of risk remediation techniques.

How does APOLLO improve the workflow for cybersecurity threat mitigation?

APOLLO streamlines the workflow by providing clear, prioritized remediation strategies, intuitive next steps, and easy access to vendor information, enabling faster and more effective threat mitigation for cybersecurity professionals.

What technologies underpin the APOLLO platform?

The APOLLO platform leverages natural language processing (NLP), artificial intelligence (AI), and a robust ETL (extract, transform, load) process to aggregate and analyze data from diverse sources, delivering actionable recommendations to users.

Where was the APOLLO platform hosted?

The APOLLO platform was architected to be hosted on the U.S. government's Cloud One platform, ensuring secure and compliant operations.

How does APOLLO present information to users?

APOLLO presents information through an intuitive user interface that allows users to quickly identify threats, view multiple remediation strategies, prioritize solutions, and access workflows and vendor comparisons in easy-to-understand formats.

What types of users benefit from the APOLLO platform?

The APOLLO platform is designed for cybersecurity professionals within the U.S. government, including cyber analysts and cyber users who need to identify, evaluate, and implement risk remediation techniques and assess vendor solutions.

How does APOLLO support both strategic and tactical decision-making?

APOLLO enables users to access information at both the strategic level (overall approaches to risk mitigation) and the tactical level (specific implementation steps), supporting comprehensive decision-making for cybersecurity operations.

What is the significance of the APOLLO project for government cybersecurity?

The APOLLO project provides a centralized, AI-driven platform that enhances the ability of government cybersecurity professionals to respond to threats efficiently, make informed procurement decisions, and continuously improve risk mitigation strategies.

How does APOLLO handle data integration and transformation?

APOLLO uses an ETL (extract, transform, load) process to collect, extract, transform, and load data from various sources into its database, ensuring that users have access to the most current and relevant information for cybersecurity decision-making.

Data Society's Capabilities & Solutions

What types of products and services does Data Society offer?

Data Society offers upskilling programs, custom AI solutions, workforce development tools, industry-specific training, AI and data services, and technology skills assessments. These services are designed to empower organizations with data and AI capabilities tailored to their unique needs. Learn more.

What industries does Data Society serve?

Data Society serves a wide range of industries, including government, healthcare, aerospace, financial services, consulting, telecommunications, energy, and more. Its solutions are tailored to address the unique challenges of each sector. See case studies.

What are the key benefits of Data Society's solutions?

Key benefits include measurable business outcomes, improved workforce capabilities, operational efficiency, enhanced collaboration, long-term sustainability, and a proven track record with over 50,000 learners and major organizations. Solutions are tied to KPIs such as training completion rates, ROI, and post-training performance improvements.

How does Data Society ensure measurable outcomes for its clients?

Data Society ties every solution to clear business outcomes and tracks KPIs such as training completion rates, post-training performance improvements, and ROI. For example, the HHS CoLab case study demonstrated 0,000 in annual cost savings. Read the case study.

What is Data Society's approach to security and compliance?

Data Society is ISO 9001:2015 certified, demonstrating its commitment to internationally recognized quality management standards. This ensures secure and compliant operations, especially for industries with stringent regulatory requirements such as government and healthcare.

How does Data Society's upskilling program work?

Data Society's upskilling programs are hands-on, instructor-led, and tailored to organizational goals. They focus on foundational data and AI literacy, data visualization, predictive analytics, generative AI, and more, ensuring workforce readiness and innovation. Learn more.

What is the target audience for Data Society's products?

Data Society's products are designed for front-line employees, experienced data professionals, executives, managers, technical staff, HR teams, and marketing teams in Fortune 500 companies, government agencies, and organizations in sectors such as healthcare, aerospace, financial services, consulting, and energy.

How does Data Society address common organizational pain points?

Data Society addresses pain points such as lack of alignment between strategy and capability, siloed departments, insufficient data literacy, overreliance on technology, weak governance, change fatigue, and lack of measurable ROI by providing tailored upskilling, data integration, governance support, and change management solutions.

What KPIs and metrics does Data Society use to measure success?

KPIs include training completion and certification rates, post-training performance improvement, alignment score between business objectives and data/AI strategy, data integration rates, employee data literacy scores, adoption rates of new tools, compliance audit scores, and ROI per initiative.

How does Data Society differentiate itself from competitors?

Data Society differentiates itself through tailored, instructor-led training, custom AI solutions, equitable workforce development tools, measurable outcomes, and a proven track record with Fortune 500 companies and government agencies. Unlike generic platforms, Data Society focuses on industry-specific challenges and live, project-based learning.

What is Data Society's approach to implementation and onboarding?

Data Society provides a streamlined onboarding process with structured implementation, installation calls, tailored training, and support tools like the Learning Hub and Virtual Teaching Assistant. Training can be delivered live online or in-person, ensuring a smooth and efficient start.

What customer feedback has Data Society received regarding ease of use?

Customers have praised Data Society for simplifying complex data processes. For example, Emily R. stated, "Data Society brought clarity to complex data processes, helping us move faster with confidence."

What is Data Society's overarching vision and mission?

Data Society's vision is to transform the way companies operate by creating a data-driven workforce and empowering bold, new ideas. Its mission is to foster innovation, improve workforce capabilities, and deliver measurable business outcomes to help organizations remain competitive in an AI-driven world.

Where can I find Data Society's case studies?

Data Society's case studies are available at the case studies section. These resources showcase real-world impacts and successful implementations across various industries.

What is an example of a Data Society case study with measurable impact?

An example is the HHS CoLab case study, where Data Society's solution led to 0,000 in annual cost savings for the U.S. Department of Health and Human Services. Read the case study.

What certifications does Data Society hold for security and quality?

Data Society is ISO 9001:2015 certified, which underscores its commitment to internationally recognized quality management standards and secure, compliant operations.

How does Data Society support change management and cultural transformation?

Data Society provides leadership training, employee engagement initiatives, and change management support to address emotional and cultural resistance, ensuring smoother adoption of data-driven transformation initiatives.

What is the business impact of using Data Society's products?

Organizations using Data Society's products can expect measurable outcomes such as improved workforce capabilities, operational efficiency, enhanced collaboration, and significant cost savings, as demonstrated in multiple case studies.

How does Data Society tailor its solutions for different personas within an organization?

Data Society customizes its solutions for executives (focusing on ROI and governance), managers (collaboration and change management), technical professionals (hands-on training), HR teams (workforce development and equity), and marketing teams (leadership and adoption support), ensuring relevance and effectiveness for each role.

What is the primary purpose of Data Society's products?

The primary purpose is to transform organizations into data-driven entities by fostering innovation, improving workforce capabilities, and delivering measurable business outcomes through upskilling, custom AI solutions, and workforce development tools.

How quickly can organizations implement Data Society's solutions?

Organizations can implement Data Society's solutions quickly thanks to a streamlined onboarding process, structured implementation, and flexible delivery options, including live online or in-person training.

What resources are available on Data Society's website?

Data Society's website offers resources such as case studies, blogs, news, thought leadership, press releases, and lessons learned, providing insights into data science, AI, and successful client engagements. Explore resources.

Building an AI database solution for the United States

A Cybersecurity Semantic Search Engine

  • $750,000

    Contract awarded

  • 1 AI Platform

    APOLLO search engine

  • 2019–2020

    Project duration

Client Profile

Bio:

The Air Force Cyber Resiliency Office for Weapons Systems (CROWS), established by a provision in a 2016 law charging the Department of Defense to identify and mitigate cybersecurity vulnerabilities of weapon systems.

  • Industry: Government
  • Headquarters: ARLINGTON, VA
  • Founded: 1963

Sypnosis

KPI:

Developing a custom search platform for U.S. cybersecurity professionals.

Project length:

2019-2020

At a Glance

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.

The Challenge

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.

The Solution

Data Society developed a platform to provide mission-relevant recommendations for products using aggregate data from many sources, extract meaning via natural language processing (NLP), and apply artificial intelligence (AI) tools to power searches.

To start, there were extensive user interviews where several priority features emerged:

“As a cyber analyst, I need to be able to summarize risk remediation techniques based on multiple playbooks and to rank these solutions in order from most effective to my project to least.”

“As a cyber analyst, I need to understand the best possible solutions presented within multiple playbooks and be able to compare my options. I want to see information at a strategic level and be able to drill down to a tactical level.”

“As a cyber user, I need to understand and evaluate vendors that might provide parts of the remediation technique.”

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. 

The Results:

Data Society successfully built the APOLLO platform specifically designed to help government agencies identify cybersecurity risk mitigation solutions and vendors, though it is flexible enough to evolve to accommodate various future use cases for the U.S. government.

With this tool, cybersecurity professionals can easily search for different attacks, see detailed and clear playbooks on remediation techniques based on how threats were managed across the government in different scenarios, and receive a clear workflow for addressing them. For each threat, they’re able to see products from vendors that have worked with agencies previously and even use a product comparison tool so they can easily assess the best product to procure.

  • $750,000

    Contract awarded

  • 1 AI Platform

    APOLLO search engine

  • 2019–2020

    Project duration

Don’t wanna miss any Data Society Resources?

Stay informed with Data Society Resources—get the latest news, blogs, press releases, thought leadership, and case studies delivered straight to your inbox.

Subscription Form