The Security Data Mesh Platform for Modern SecOps

Query connects your security data and lets your team and AI agents investigate, hunt, and detect across all of it, wherever it’s stored.

We now live in a distributed world.

Security-relevant data is distributed across dozens of sources: SIEMs, data lakes, endpoint, identity, network tools, IT systems and more.

<50%
Of security data lives in the SIEM. The rest is scattered across tools your team can’t query.
20%
Of analyst time lost assembling data. Before the security work even starts.
40%+
Of alerts go uninvestigated. Not because they don’t matter. Because there’s no time.

Coverage

Your SIEM sees what you can afford to ingest. Everything else is a blind spot you’ve been forced to accept.

Cost

Ingestion grows 30-40% a year. Your budget decides your security posture, not your threat model.

Speed

10+ consoles to close one investigation. Analysts lose a day a week before the security work even starts.

AI

Your agents reason over the same <50% your analysts see. Confidently wrong on the rest.

Security operations without compromise.

Coverage becomes a security decision, not a budget decision.
Every alert investigated. Every threat hunted.
Analysts do security work, not data assembly.
AI reasons across 100% of your data.
~15 min
Typical Worker investigation. Equivalent manual triage: 8–12 hours.
50+
Federated sources. Zero migrated. No ingestion penalty.
$1M+
Avoided ingestion fees per customer, typical first-year impact.
100%
Of your data, operational. Not just what your SIEM happened to ingest.

Here’s how.

The Query Security Data Mesh

Put your security data to work.

Every source connected. Every alert investigated. Every threat hunted.

Query Workers

Your security team, multiplied.

Query Workers are AI agents with specialist skills that triage, investigate, hunt, and detect across every source in the mesh, including data your SIEM and other providers can’t reach.

Workers investigate and recommend, or report inconclusive when the data isn’t there. Your team reviews and decides. No black box, no forced verdicts, just the evidence.

Alert triage & investigation Threat hunting Vulnerability prioritization Access review
Query Workers investigation report showing threat campaign analysis
Federated Detections

Detect on data you’ll never ingest.

Detection coverage should follow your threat model, not your ingestion budget. Federated Detections run directly against data wherever it lives.

  • Decouple detection logic from data storage across 50+ sources
  • Translate SPL, KQL, or Sigma rules, or use the out of the box library
  • Coverage expands as sources connect, not as budgets grow
  • Scheduled, auditable and deterministic
Federated Search & Analytics

One console. Every source.

Today, analysts pivot across 10+ consoles, losing context with every switch. Query puts every source you own behind one interface.

  • Centralized insights from decentralized data
  • Investigations that start with context, not cleanup
  • Search every connected source in parallel
  • Natural language translated to any source
Query for Splunk

Extend Splunk to every source.

Ingestion-based pricing leads to a cost vs. coverage tradeoff. Query for Splunk extends Splunk’s reach to every source in the mesh, without ingestion, and your analysts work in the familiar Splunk console.

SOC teams use 10+ consoles on average. Splunk + Query = 1.
Query Federated Search running inside Splunk Enterprise
The Query Security Data Mesh

50+ Sources. One security data mesh.

Every new source is a pipeline project. ETL, schema mapping, months of engineering. That’s the centralization tax. The Query security data mesh eliminates it.

  • Search and use data where it already lives, no movement, no duplication
  • New sources live in <15 minutes
  • Schema normalization at query time
  • Workers, detections, search, and the Splunk App all run on this foundation
Security operations is a data game. It’s not just having the data, but the ability to make use of the right data when you need it. Query’s ability to rapidly integrate with distributed data is a game changer for teams defending cloud and SaaS environments at scale.
Rudy Ristich
CISO & CPO, Avant
Effective security operations require teams to answer questions quickly using data from many sources, without long onboarding times and increasing data costs. Query is purpose-built to do just that.
Janey Hoe
Vice President, Cisco Investments
In 25 years of working with cybersecurity solutions, I’ve never seen a bigger impact to customers in such a short time.
Tammi Hayes
President, Capital Strategies Group
Query is an enabler of the emerging SecDataOps trend that seeks to empower security operations with enterprise-wide data and collaboration.
Tari Schreider
Strategic Advisor, Datos Insights

50+ federated sources. The mesh evolves with your stack.

Splunk
Microsoft Sentinel
AWS Security Lake
CrowdStrike Falcon
Okta
Defender for Endpoint
Snowflake
Google BigQuery
Microsoft Entra ID
Falcon LogScale
SentinelOne
Databricks
AWS Athena
Azure Log Analytics
Microsoft Intune
Auth0
Splunk
Microsoft Sentinel
AWS Security Lake
CrowdStrike Falcon
Okta
Defender for Endpoint
Snowflake
Google BigQuery
Microsoft Entra ID
Falcon LogScale
SentinelOne
Databricks
AWS Athena
Azure Log Analytics
Microsoft Intune
Auth0
VirusTotal
AlienVault OTX
Shodan
Datadog
ServiceNow
Cribl Search
Google SecOps
Amazon Redshift
Amazon OpenSearch
ClickHouse
Microsoft Graph
GitHub
Jamf
Armis
Lacework
1Password
Azure Data Explorer
VirusTotal
AlienVault OTX
Shodan
Datadog
ServiceNow
Cribl Search
Google SecOps
Amazon Redshift
Amazon OpenSearch
ClickHouse
Microsoft Graph
GitHub
Jamf
Armis
Lacework
1Password
Azure Data Explorer

Recognized by

SINET16 Innovator Award
Cybersecurity Excellence Award Winner
Gartner Cool Vendor - Security Operations
CRN Top 10 Hottest Cloud Security Startups

See your data on the Query security data mesh.

Every source connected. Every alert investigated. Every threat hunted.