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Protecting data privacy and security while building with generative AI

Blog post from New Relic

Post Details
Company
Date Published
Author
Frederick Ryckbosch, Senior Principal Software Engineer
Word Count
1,509
Company Posts That Month
38
Language
English
Hacker News Points
-
Post removed?
No
Summary

New Relic AI aims to make observability accessible to all organizations by integrating large language models (LLMs) with a unified telemetry data platform, offering insights, automated alerting, and system optimization without a steep learning curve. Emphasizing data security and privacy, New Relic AI's development involved close collaboration with security, legal, and compliance teams to safeguard customer information at every stage, from initial prompts to final responses. The service carefully manages access rights and data retrieval, ensuring privacy by design and limiting access to necessary functions. It leverages Azure OpenAI for secure LLM capabilities and employs retrieval-augmented generation (RAG) to provide contextual answers from public documentation without exposing user data. New Relic AI is designed to protect customer interactions by restricting conversation context to the active session, preventing cross-user data leaks. By continually assessing vendors and technological advancements, New Relic ensures that its generative AI solutions remain secure and privacy-focused, maintaining a proactive stance on emerging security challenges.

Trends Found in this Post
Trend Post Mentions Total Month Mentions Posts Companies MoM
Vector Search 15 2,087 216 81 +23%
LLM 7 2,401 292 122 -7%
Observability 5 1,155 262 90 -8%
RAG 3 1,125 154 56 -17%
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