Orchestrating collection, streaming, analytics, storage, and search across security and observability workloads.
Powered by Shyft Agents, Shyft Streamz, Shyft Analyzer, Shyft Store, Shyft Search, and Shyft AI Hub
one platform, multiple AI collaborative conversations
SECURITY
OBSERVABILITY
From parsing raw logs to generating queries and investigating insights — Shyft AI powers the full data lifecycle.
AI enhances log analysis after templates are created — generating regex, detecting collisions, and resolving conflicts for accurate parsing.
Template Clustering groups logs
AI generates regex from templates
Collision detection finds overlaps
Ai resolves conflicts for accuracy
Use Shyft Assistant to explore your data and guide investigations, while ShyftQL AI generates queries and helps you interact with insights through conversational workflows.
Shyft Assistant guides you and answers product/data questions
ShyftQL AI generates queries from natural language
Query validation ensures correctness
Insights are generated from your data
Chat on insights to investigate further
A unified data platform designed to operate across environments, data phases, and workloads — without lock-in.
Run Shyft in public cloud, private cloud, on-premises, or as a Shyft-hosted service — with the same capabilities everywhere.
Collect, stream, analyze, store, and search data in a single platform — not a chain of disconnected tools.
Search data in local stores for performance or directly in open data lakes for scale and cost efficiency.
Seamlessly query hot, warm, cold, and frozen data without rehydration or re-indexing.
Dashboards are tightly coupled with the data model and storage, delivering faster insights with lower compute overhead.
Automatically extract fields from raw data using AI-learned templates — no brittle regex or manual parsers.