

How to build great AI products with Vanta Software Developer Noam Rubin
26 snips Dec 18, 2024
Noam Rubin, a Software Developer at Vanta, specializes in creating AI tools for security and compliance. He shares fascinating insights into using data-driven strategies for building AI features. Discover how customer feedback and rapid prototyping are vital in transforming ideas into practical tools. Noam explains the importance of integrating AI into compliance workflows, maintaining product quality through iterative testing, and educating engineers to democratize AI. His experiences highlight the balance between innovation, user empathy, and technical accuracy.
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Vendor Risk Management Automation
- Vanta's vendor risk management AI product automates the tedious task of reviewing vendor security documents.
- This product came about when engineers realized that LLMs could unlock information from documents customers were already collecting.
Promote LLM Literacy
- Promote LLM literacy within your organization to encourage exploration of AI's potential.
- Make LLMs accessible and encourage experimentation to identify valuable use cases.
Terraform Generation Idea
- Vanta's support engineers noticed that customers took longer to fix more technical issues.
- This observation sparked the idea for an AI feature to auto-generate Terraform code for remediation.