AI for Identity Security: My Journey, Our Perspective, and Veza’s Strategy
The author discusses their journey into AI and how they joined Veza to leverage unique datasets for enterprise AI applications. They believe that data is the key driver in unlocking value in new enterprise AI applications, especially in identity security. With the rise of AI tools like Chat-GPT and Claude, organizations are transforming their enterprise data into training sets for AI, often overlooking security concerns. The author highlights the challenges faced by enterprises in maintaining the integrity of user context while using AI to pull information from systems. They also discuss how Veza is implementing AI to democratize its data and improve integration with enterprise systems. Long-term, they see potential in using AI for least privilege access control and knowledge management.
Company
Veza
Date published
Aug. 6, 2024
Author(s)
Rich Dandliker
Word count
1278
Hacker News points
None found.
Language
English