The SIEM that does it all— no add-ons required

Security data lakes deliver faster query performance than legacy SIEMs because they’re built on modern data infrastructure designed for scale. Traditional SIEMs use monolithic architectures that degrade as data volumes grow, often taking minutes or hours to search terabytes of logs. Security data lakes separate storage from compute, enabling sub-second queries across unlimited data volumes. RunReveal is built on top of ClickHouse which uses columnar storage and distributed query processing to handle terabytes of security logs without performance penalties. This means investigations that took 30 minutes in Splunk or other legacy SIEMs complete in under 3 seconds. The architecture scales linearly—query speed remains consistent whether you’re searching 1TB or 100TB of data.

RunReveal offers flexible deployment options to meet your security and compliance requirements. Our most popular option is a fully managed SaaS deployment that provides enterprise-grade infrastructure with zero operational overhead. Bring-your-own-cloud (BYOC) lets you deploy RunReveal in your own VPC for maximum control over data residency, security, and compliance while paying only for the resources you use. Bring-your-own-database (BYOD) runs the RunReveal platform on top of a database your team controls. RunReveal also supports a fully on-premise solution. All deployment options provide the same unified platform capabilities including AI investigations, detection engineering, and automated data preprocessing.

Yes. RunReveal integrates with 40+ log sources including cloud providers (AWS, GCP, Azure), identity systems (Okta, Azure AD), SaaS applications (GitHub, Slack, Salesforce), infrastructure tools (Kubernetes, Docker), and custom log sources. For alerting and response, RunReveal connects to Slack, PagerDuty, Jira, ServiceNow, and any destination via webhooks. Unlike legacy tools requiring separate integrations for every workflow, RunReveal’s unified platform means you connect data sources once and all capabilities—detection, investigation, AI, analytics—work immediately without additional integration work.

Yes. RunReveal provides complete Splunk replacement with faster query performance, transparent pricing, and modern capabilities Splunk lacks. Unlike Splunk’s per-GB ingestion pricing and complex SPL query language, RunReveal offers usage-based pricing (pay for storage and compute only), automatic log normalization without custom parsing, AI-powered investigations in plain English instead of manual queries, and data pipelines to filter unnecessary logs before storage. Teams typically save 50-70% on costs while investigating 10x faster. You can migrate gradually by running both platforms in parallel, importing detection rules (Sigma format supported), and maintaining historical data for compliance.

RunReveal automatically normalizes logs from all sources as data arrives—no custom parsers, regex patterns, or data engineering required. Raw logs in vendor-specific formats are transformed into consistent, structured data with standardized field names and types. This means you can search for “source_ip” once instead of learning that AWS calls it “sourceIPAddress,” Okta calls it “client.ipAddress,” and GCP uses “protoPayload.requestMetadata.callerIp.” Normalization happens in real-time during ingestion, so your data is investigation-ready immediately. RunReveal also preserves original raw logs for compliance and forensics while providing the normalized version for daily operations and AI-powered analysis.