Query is exhibiting at Booth 2121 in the Innovator Pavilion.
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Publisher name
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Two days at Booth 2121. Here's what people are actually bringing us. The most common messy-data problem, by a wide margin: Archived data past 90 days that's technically…
Company
Query
Security Operations beyond your SIEM
- Industry
- Security and Investigations
- Location
- Atlanta, US
- Company size
- 11–50 employees
About Query
Security operations beyond your SIEM. Less than half your security-relevant data lives in your SIEM. The rest is scattered across data lakes, endpoint, identity, network, and IT tools your team can't easily reach. Coverage becomes a budget decision, not a security one. Query changes that. Our Security Data Mesh makes your data operational wherever it lives. No migration, no ingestion penalty, no centralization tax. Connect a new source in under 15 minutes and put 100% of your data to work. What runs on the mesh: Query Workers — AI agents that triage, investigate, hunt, and prioritize across every connected source. A typical investigation takes ~15 minutes versus 8–12 hours of manual triage. They show evidence and recommend; your team decides. No black box. Federated Detections — detection logic decoupled from data storage across 50+ sources. Bring your SPL, KQL, or Sigma rules, or use ours. Federated Search & Analytics — one console across every source, in parallel. Natural language in, any source out. Query for Splunk — extend Splunk to every source without ingestion, inside the console your analysts already use. The result: every alert investigated, every threat hunted, analysts doing security work instead of data assembly — and AI reasoning across all your data, not just the slice your SIEM ingested. See for yourself: query.ai/book-a-demo
See moreLatest activity
Latest activity from Query
9 signals
Products & Services
Query launched the new Query Foundry app in preview for CrowdStrike marketplace approval.
Products & Services
Query launched Query Workers that can be triggered from inside Falcon to send findings and indicators to a Query AI Worker using the Query Security Data Mesh.
Presence & Recognition
Query employee Neal Bridges was invited by local AI and open model development leaders to provide cyber evaluations on local models.
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