ICF (Federal Integrator)
ICF is a global consulting services company with over 7,000 employees, but we are not your typical consultants. At ICF, business analysts and policy specialists work together with digital strategists, data scientists, and creatives. We combine unmatched industry expertise with cutting-edge engagement capabilities to help organizations solve their most complex challenges. Since 1969, public and private sector clients have worked with ICF to navigate, change, and shape the future.
As information technology shifts more towards the cloud, ICF has recognized the need for increased big data processing and log analysis. That’s why we’ve been actively leveraging the Elastic Stack to meet the needs of our customers.
Elastic enables ICF to provide the next generation of capabilities for insider threat detection, search, monitoring, and detailed threat analysis for all of our customer markets (federal government, defense, critical infrastructure, commercial industry and academia). Clients expect the most cost-effective cutting edge cyber defense solutions and Elastic capabilities enable ICF to exceed the needs for our customers.
ICF is using the Elastic Stack to bring clients cost effective solutions to manage and analyze their cyber data. Elastic Stack’s powerful features include log analytics, full-text search, dynamic queries, data mining, and operational intelligence for structured and unstructured data. Coupled with a user-friendly interface, these capabilities help ICF unlock key information and patterns buried in their data and assist in identifying critical mission intelligence. ICF’s unique defensive cyber capabilities leverage both Elastic’s popular open source products, Elasticsearch, Logstash, Kibana, and Beats, in addition to giving users access to Elastic’s powerful proprietary features such as security, monitoring, alerting and machine learning to enhance their deployments for their search, logging, security, or analytics use cases. When these capabilities are combined, it enables significant noise filtering of massive amounts of data, essentially filtering out the “hay” in two mouse clicks leaving only the needles.