Domino Data Lab Achieves ISO 27001:2013 Certification to Help Global Enterprises Deploy Data Science with Greater Confidence

Enterprise platform provider MLOps is raising the security bar to integrate data science into as many business processes as possible

SAN FRANCISCO, August 24, 2022 /PRNewswire/ — Domino Data Lab, provider of the leading enterprise MLOps platform trusted by over 20% of the Fortune 100, is proud to announce today that it has achieved ISO 27001:2013 certification for its information security program in its first experience. ISO 27001:2013 goes beyond the information security requirements established by privacy laws and raises the bar for end-to-end security expectations that data science companies at scale must have for their Enterprise MLOps platforms.

“As companies increasingly use machine learning models to drive core business processes, security in their MLOps platform is critical,” said Nick Elprin, co-founder and CEO of Domino Data Lab. “We’re proud to help our customers unleash data science at scale while giving them the confidence and peace of mind knowing their data and intellectual property is always safe.”

According to Gartner, “over the past five years, the percentage of boards that consider cybersecurity a business risk has risen from 58% to 88%.”1 ISO 27001:2013 certification is often a requirement for model-driven organizations in highly regulated and sensitive industries. This emerging dynamic demands seamless, built-in security in every aspect of the data science workflow and infrastructure, while maintaining the agility, flexibility, and scalability that data scientists need. Domino’s platform is built to support both the diverse set of data science innovation needs and the security requirements of the world’s most sophisticated companies.

“AI poses significant data risks as large, sensitive data sets are often used to train AI models and shared across organizations,” Gartner said. “Access to confidential data must be carefully controlled to avoid adverse regulatory, commercial and reputational consequences.”2

ISO 27001:2013 certification is a difficult process that requires documentation and adherence to a strict framework for data security, risk mitigation, staff training and continuous monitoring and improvement. This certification is a testament to Domino’s unwavering internal and executive commitment to strict security standards in ensuring the confidentiality, integrity, accessibility and protection of its customers’ sensitive data and information.

Domino continues to hold itself accountable to the SOC 2 framework, validating the prescribed third-party controls. The company’s third consecutive SOC 2 report from an independent auditor — detailing Domino’s adherence to SOC 2 security, privacy and availability principles — is now available.

About the Domino Enterprise MLOps platform

The Domino Enterprise MLOps platform helps data science teams improve the speed, quality and impact of data science at scale. Domino is open and flexible, enabling professional data scientists to use their preferred tools and infrastructure. Data science models go into production quickly and run at peak productivity with integrated workflows. Domino also provides the security, management and compliance that businesses expect.

About Domino Data Lab

Domino Data Lab powers model-driven businesses with its leading Enterprise MLOps platform, trusted by over 20% of the Fortune 100. Domino accelerates the development and deployment of data science work while increasing collaboration and governance. With Domino, businesses around the world can develop better medicines, grow more productive crops, build better cars and much more. Founded in 2013, Domino is backed by Coatue Management, Great Hill Partners, Highland Capital, Sequoia Capital and other leading investors. For more information visit

  1. Gartner, 6 Key Takeaways from Gartner’s Board of Directors Survey, October 21, 2021
  2. Gartner, “Market Guide to AI Trust, Risk and Security Management,” Aviva Litan, Farhan ChoudharyJeremy D’Oan, September 1, 2021

SOURCE Domino Data Lab

Leave a Comment