Certilytics Achieves HITRUST CSF® Certification

Information Protection Framework for Healthcare Industry

November 13, 2017

Certilytics today announced that its SACIE (Security, Assembly, Cleansing, Integrity, Enrichment) platform has earned Certified status for information security by HITRUST.

HITRUST CSF Certified status demonstrates that the organization’s SACIE platform has met key regulations and industry-defined requirements and is appropriately managing risk. This achievement places Certilytics in an elite group of organizations worldwide that have earned this certification. By including federal and state regulations, standards and frameworks, and incorporating a risk-based approach, the HITRUST CSF helps organizations address these challenges through a comprehensive and flexible framework of prescriptive and scalable security controls.

“The HITRUST CSF is the gold standard that needs to be met, and Certilytics is pleased to be able to demonstrate its commitment by achieving HITRUST CSF Certification,” said Mark R. Mach, Chief Information Security Officer at Certilytics.

“The HITRUST CSF has become the information protection framework for the health care industry, and the CSF Assurance program is bringing a new level of effectiveness and efficiency to third-party assurance,” said Ken Vander Wal, Chief Compliance Officer, HITRUST. “The HITRUST CSF Certification is now the benchmark that organizations required to safeguard PHI are measured against with regards to information protection.”

About Certilytics Inc.

Certilytics is a privately-held company founded in 2014 to bring AI-inspired predictive models to organizations across the healthcare ecosystem, including health plans, providers, biotechnology, pharmaceuticals, large employers and government entities.

Utilizing an organically designed IT processing infrastructure, while also merging machine learning and software engineering, Certilytics has commercialized two distinct data logistics and analytic platforms.

These solutions are managing and extracting value from customers’ legacy data assets to reform existing workflows, processes and decision making - resulting in the use of AI-driven predictive analytics to help customers realize the true potential of their data and turn it into powerful insights.

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