Gartner Expert

Avivah Litan

Distinguished VP Analyst

Avivah Litan is a Distinguished VP Analyst in Gartner Research. Ms. Litan is currently a member of the ITL Application Innovation team that covers blockchain, AI and IoT. She specializes in Blockchain innovation, Securing and Protecting AI, Trustworthy AI, and how to detect Fake content and goods using a variety of technologies and methodologies. She chairs Gartner's Blockchain Research Community of analysts covering blockchain, and also helps manage Gartner's research for Application Leaders across the Application's group

Ms. Litan has a strong background in many aspects of cybersecurity and fraud, including the integration of AI with these domains. This background is useful in her current coverage of securing and protecting AI, and of integrating advanced technologies such as blockchain, IoT and AI to solve specific use cases, such as detecting fake content or goods.

Before joining Gartner, Ms. Litan worked as a Director of Financial Systems at the World Bank. She also worked as a journalist and columnist for the Washington Times. She earned her Masters of Science at M.I.T.

Previous experience

Before joining Gartner, Ms. Litan worked as a Director of Financial Systems at the World Bank. She also worked as a journalist and columnist for the Washington Times.

Professional background

World Bank

Senior Manager

Booz Allen Hamilton

Consultant

Sperry Univac

Systems Analyst

Areas of coverage

Application Leaders

Security of Applications and Data

Digital Commerce Technologies

Education

M.S., Massachusetts Institute of Technology

Executive Education Program, Harvard Business School

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Top Issues That I Help Clients Address

1What is the state of blockchain technology for enterprise use?

2Who are the leading vendors of blockchain technology that can meet my requirements?

3What are the main opportunities and challenges of blockchain projects?

4What are the best practices for securing AI models and data?

5What are the key drivers and challenges in securing AI in the enterprise?