Home / Companies / Veza / Blog / Post Details
Content Deep Dive

Veza Access AI – Applications of Gen AI for Identity Security Use Cases

Blog post from Veza

Post Details
Company
Date Published
Author
Shanmukh Sista
Word Count
2,573
Company Posts That Month
6
Language
English
Hacker News Points
-
Post removed?
No
Summary

Veza has introduced Access AI, a revolutionary technology that combines the power of Generative AI with its Access Graph and Access Intelligence products. This innovation simplifies how organizations uncover hidden access insights, making it intuitive and user-friendly. Access AI addresses complex identity relationships by leveraging context-driven techniques and domain intelligence to deliver accurate and actionable results. The system is designed to be flexible and scalable, allowing users to express their intent and desired insights using natural language. Veza has developed a unique query language, VQL, which abstracts the complexity of access queries and provides a lightweight, domain-specific approach for filtering and expressions. The execution engine is powered by LLMs, Retrieval Augmented Generation techniques, and LangGraph, enabling users to maximize performance and accuracy across the solution. Access AI's primary objective is to prioritize correctness, ensuring an optimal user experience and providing precise information aligned with the user's intended search parameters. The system has a rich dataset and an agentic framework that enables the development of future AI agents for Veza, providing deep risk insights, monitoring, and alerts, as well as simplifying assessments and interactions with natural language.

Trends Found in this Post
Trend Post Mentions Total Month Mentions Posts Companies MoM
LLM 24 4,587 525 176 +56%
RAG 4 2,188 259 95 +39%
AI Agents 2 1,166 249 116 +1%
AI Model Fine-tuning 1 1,001 182 91 +84%
Secrets Management 1 695 128 79 -31%
Vector Search 1 2,869 338 116 -34%
Use This Data

Use this post, company, and trend context to find content marketing opportunities, perform competitive analysis, or address product feature gaps via the Plushcap MCP server or the Plushcap API.