Aporia Achieves HIPAA Compliance and Brings ML Observability to Healthcare Organizations

Machine Learning

Tel Aviv, Israel, April 10, 2023 /PR Newswire/ — AporiaMachine Learning Observability Platform today announced that it has achieved Health Insurance Portability and Accountability Act (HIPAA) compliance. This achievement will enable Aporia to provide secure machine learning services to healthcare organizations and customers, ensuring that sensitive medical data is kept safe.

HIPAA is federal law. usa It requires healthcare providers to protect the privacy and security of patient health information. Achieving HIPAA compliance requires strict adherence to a variety of security and privacy measures, including administrative, physical, and technical safeguards.

“Achieving HIPAA compliance is an important step for Aporia in our mission to help organizations leverage machine learning to improve patient outcomes and drive healthcare innovation.” Lilan Husson, CEO and co-founder of Aporia. “Our secure platform will enable healthcare organizations to unlock the full potential of their data while ensuring patient privacy and compliance with regulatory requirements.”

Aporia’s machine learning observability platform helps data scientists and machine learning engineers monitor and improve machine learning model performance in production. The platform provides visibility into model behavior and performance, making it easier to identify and diagnose problems that may occur in production.

About Aporia:

Aporia is the leading ML Observability platform, trusted by Fortune 500 companies and industry leaders to centralize, visualize, and maximize the value of machine learning models in minutes. Aporia empowers data science and ML teams to confidently monitor, explain, and gain insights to improve models in production. Founded in 2019, Aporia is backed by Tiger Global, Samsung Next, TLV Partners and Vertex Ventures.

Media Contact:

Daria Jodorowsky
[email protected]

source aporia

Source link

Leave a Reply

Your email address will not be published. Required fields are marked *