RunReveal
RunReveal unifies security data management with AI-powered detection and response. Ingest, detect, and respond to threats without legacy SIEM complexity or cost.
Editor's Verdict
Key Takeaways
- Unified Security Data Platform
- AI-Powered Investigations
- Detection as Code
- Security Data Lake
In-Depth Review: What is RunReveal?
RunReveal is the unified security data platform that simplifies how teams store, detect, and respond to threats. It centralizes all security logs with flexible ingestion, normalization, and enrichment, scaling to terabytes without performance penalties. With AI built in, you can investigate alerts, analyze patterns, and create detections using natural language, working alongside your preferred LLMs. Whether you need a modern SIEM, AI SOC capabilities, or better data readiness, RunReveal gives you complete visibility and control at a fraction of the cost and complexity of traditional SIEMs.
Core Features
Unified Security Data Platform
Combines data ingestion, detection, and response in one platform, eliminating tool sprawl and providing complete security visibility.
AI-Powered Investigations
Use natural language to query log data and get contextual analysis, reducing investigation time from hours to minutes.
Detection as Code
Write, test, and deploy detections as code with version control and CI/CD integration, supported by AI generation.
Security Data Lake
Store and query terabytes of security data with linearly scalable performance, built on modern data stack.
Pipelines
Filter, route, transform, and enrich logs before storage, reducing data costs and improving data quality without needing Cribl.
Data Preprocessing & Normalization
Automatically normalize logs into common schemas and enrich with threat intelligence, geolocation, and business context.
Bring Your Own LLM
Use Claude, ChatGPT, Gemini, or any model through native AI chat or MCP server for flexible AI security operations.
Unlimited Ingest
Send unlimited data volume with no extra charge, paying only for stored data, allowing comprehensive telemetry collection.
Dashboards & Analytics
SQL-powered dashboards for security metrics, detection performance, and operational KPIs.
Flexible Deployment Options
Deploy fully managed SaaS, in your cloud (BYOC), or self-hosted on Kubernetes for data residency and compliance.
Pricing
RunReveal Cloud
- 100+ first-party source integrations
- 550-day retention by default
- AI investigations
- Unlimited Ingest
- Built-in detections & BYO as code
- SOC II compliant
BYO-Cloud
- Full data residency
- Custom integrations
- AWS | GCP | Azure
- Enterprise SLAs
RunReveal Kubernetes
- Air-gapped environments
- GovCloud
- Helm + GitOps deploy
- Enterprise SLAs & support
- On-prem or Cloud
- EKS, GKE, AKS, or bare metal
Community Edition
- 20 GB monthly storage
- 5 data sources
- 30-day data retention
- Bring-your-own API AI keys
Teams
- 100 GB monthly storage
- 15 data sources
- 90-day data retention
- Custom integrations
Pros and Cons
Pros
- Unlimited IngestSend any volume of security data without incurring ingest fees, allowing complete visibility without budget trade-offs.
- Transparent Storage-Based PricingPay only for data stored; predictable bills scale with actual retention needs, not data volumes.
- AI-Native Security OperationsBuilt-in AI analyst accelerates investigations and detection engineering, reducing manual toil.
- Fast Time-to-ValueSetup in hours with immediate visibility across 100+ integrations, versus weeks for legacy SIEMs.
- Built-in PipelinesNative data pipelines eliminate the need for separate tools like Cribl, reducing complexity and engineering overhead.
Cons
- Enterprise Plans Can Be CostlyStarting at $10k-$150k for cloud and $75k+ for BYOC, pricing may be prohibitive for smaller organizations.
- Community Edition LimitedFree tier only supports 5 data sources and 30-day retention, insufficient for larger production use.
- Self-Hosted Requires KubernetesRunReveal Kubernetes deployment demands Kubernetes expertise and infrastructure management, which may be a barrier.
- AI DependencyHeavy reliance on AI for investigations may require careful validation and oversight to avoid false confidence.
- Limited Plan TransparencyExact pricing depends on stored data volume, requiring a sales conversation for accurate quotes.
Use Cases & Recommended Professions
SOC Analyst→ View Toolkit
Needs to triage alerts and investigate incidents rapidly; AI-powered investigations reduce manual log analysis.
Detection Engineer→ View Toolkit
Writes and maintains detection rules; as-code detections and AI assistance streamline rule development.
Security Engineer→ View Toolkit
Manages infrastructure and security tools; unified platform reduces tool sprawl and simplifies data pipelines.
CISO→ View Toolkit
Needs visibility and risk reduction with predictable costs; transparent pricing and comprehensive platform support security strategy.
Security Data Engineer→ View Toolkit
Handles security log pipelines; built-in pipelines eliminate custom data engineering for log normalization.
Compliance Officer→ View Toolkit
Requires data residency and retention; BYOC and self-hosted deployments help meet regulatory requirements.
Frequently Asked Questions
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ℹ️ Curation Disclosure: The overview and features of RunReveal were synthesized using AI and fact-checked by our curation team to ensure accuracy.
