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Gravwell

  • What it is:Gravwell is a purpose-built security data platform that ingests unlimited raw logs and machine data into a structure-on-read data lake for analysis, threat hunting, and incident response.
  • Best for:Enterprise SOCs with growing data volumes, Organizations with air-gapped/high-security requirements, Cost-conscious security teams
  • Pricing:Free tier available, paid plans from Per indexer (self-hosted pricing)
  • Rating:78/100Good
  • Expert's conclusion:Gravwell is best suited for Data-Rich Security Teams That Are Willing To Prioritize Flexibility, Retention And Cost-Effectiveness Over Traditional SIEM Constraints.
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Reviewed byMaxim Manylov·Web3 Engineer & Serial Founder

What Is Gravwell and What Does It Do?

Security data analytics firm Gravwell has created an enterprise data fusion and analytics platform that supports log management and security data analysis. The firm develops solutions that allow for the ingestion and analysis of large volumes of data to support incident response, threat hunting, and detection engineering.

Active
📍Coeur d'Alene, Idaho
🏢Private
TARGET SEGMENTS
Enterprise Security TeamsIT OperationsThreat HuntersCompliance Teams

What Are Gravwell's Key Business Metrics?

📊
$15.4M Series A
Recent Funding
📊
100%+
YoY Growth
📊
Two Bear Capital
Lead Investor

How Credible and Trustworthy Is Gravwell?

78/100
Good

Gravwell's recent funding and 100%+ year-over-year growth demonstrate strong technical credibility and market momentum although little third-party data is available regarding the firm's performance.

BREAKDOWN
Product Maturity75/100
Company Stability80/100
Security & Compliance75/100
User Reviews70/100
Transparency80/100
Support Quality80/100
TRUST SIGNALS
Series A funding from Two Bear Capital and other institutional investors100%+ year-on-year growthEnterprise customers including organizations seeking AI audit capabilitiesCEO with deep cybersecurity background (developed 0-day exploits)

What is the history of Gravwell and its key milestones?

Company Founded

Gravwell was co-founded by Corey Thuen and Kris Watts as a purpose-built security data analytics platform.

2023

Gravwell 5.2 Release

Version 5.2 of Gravwell includes dynamic threat hunting features such as query autocomplete, diagnostics, and auto-field aggregation to help reduce the barriers to entry for analysts.

2025

Series A Funding

The firm received $15.4 million in Series A funding from Two Bear Capital with participation from Gula Tech Adventures and Next Frontier Capital.

Who Are the Key Executives Behind Gravwell?

Corey Thuen— CEO & Co-founder
Corey Thuen is a former security researcher who possesses extensive knowledge in threat detection and attack methodologies. He has developed custom 0-day exploits and specializes in threat hunting and enterprise security.
Kris Watts— Co-founder
Kris Watts co-founded Gravwell with Corey Thuen to develop a purpose-designed security data analytics platform.

What Are the Key Features of Gravwell?

📊
Structure-on-Read Architecture
Data can be ingested into Gravwell in its raw and unprocessed state without the need to perform data normalization or implement complex extract-transform-load processes.
✨
Piped Query Language
An extensible query language allows analysts to evolve their queries as environments change without having to create pre-defined detection rules.
✨
Threat Hunting Capabilities
Gravwell offers advanced threat hunting capabilities, including query autocomplete, diagnostics, and auto-field aggregation designed for both novice and experienced analysts.
✨
Scalability
Gravwell is able to handle hundreds of terabytes of logs per day while utilizing 40 percent less compute than its competitors and allowing for unlimited data collection and retention.
🔗
Vendor-Agnostic Integration
Gravwell is capable of ingesting data from any source, including PCAP, network traffic and event streams, and also integrates with a variety of security tools and sources.
✨
Open Data Model
Gravwell is flexible and allows for the integration of new security tools and sources without creating data silos or the need to sample data from each tool.
✨
Indexer-Based Pricing
A model of how a company will pay for computing as opposed to how much data they are consuming. It also removes the penalties companies incur for processing more volume of information.
✨
Logbot AI
Gravwell's ability to analyze logs using AI in order to proactively identify threats and automatically investigate security issues.
✨
AI Agent Auditing
Gravwell allows you to have visibility and create audit trails of what an enterprise's AI agents are doing.
💬
Multi-Environment Support
Gravwell provides visibility and insight into the IT and OT environments, both air gapped and on premises, to include operational technology networks.

What Technology Stack and Infrastructure Does Gravwell Use?

Infrastructure

Enterprise-scale platform designed for minimal maintenance; supports deployment in air-gapped environments

Integrations

SIEM platformsPCAP and network traffic analysisEvent streamsMultiple data sources (vendor-agnostic)

AI/ML Capabilities

Logbot AI capabilities for automated log analysis and threat detection with AI agent oversight and audit functionality

Technical details based on official product documentation and marketing materials; specific programming languages and frameworks not disclosed in available sources

What Are the Best Use Cases for Gravwell?

Security Operations Centers (SOCs)
Gravwell enables threat hunters to quickly identify and assess potential security issues by providing the capability to analyze large amounts of data and convert those findings into scheduled detections.
Threat Hunting Teams
Gravwell provides the ability to do more in-depth assessments of potential security issues by allowing users to query large amounts of data dynamically in order to identify new types of attack patterns and techniques used by attackers.
Incident Response Teams
Users are able to conduct in-depth investigations of breaches with complete access to their ingested logs and events in their native format which provides users with the ability to perform complete forensic analyses without having to sample or limit retention.
Compliance and Audit Teams
Compliance can be achieved with unlimited data retention and complete audit trails for AI agent activity and security investigations.
Organizations with Operational Technology (OT) Environments
Provides the ability to gain insight into the on premise OT network as well as provide deep analytic capabilities to both the IT and OT security teams.
Enterprise Cost-Conscious Teams
Reduces security infrastructure costs due to a compute-based indexers pricing model that doesn't charge for ingestion therefore allowing customers to retain data longer.
NOT FORReal-Time Automated Response Systems
Not ideal. This platform was created to support investigation and analysis, not automated response in real-time.
NOT FOROrganizations Locked Into Legacy SIEM Vendor Ecosystems
Limited Applicability. While this product can improve upon current SIEM solutions there are limitations on its use because some customers require specific integrations from vendors and may find them difficult to achieve.

How Much Does Gravwell Cost and What Plans Are Available?

Pricing information with service tiers, costs, and details
☐Service$CostℹDetails🔗Source
Community Edition$0For small commercial projects. Self-hosted only. Unlimited ingest, retention, users. Basic features.Official website and cybersectools.com
ProfessionalPer indexer (self-hosted pricing)For single business units. Self-hosted on-prem or private cloud. Unlimited data ingestion, retention, search count, users, automations. Tiered storage, cloud archive, SSO, high availability search.Official pricing page
EnterprisePer indexer (self-hosted) or Hosted in Gravwell CloudFor critical environments and enterprise SOCs. All Professional features plus hosted cloud option, enhanced multi-tenancy, distributed web frontends.Official pricing page
Community Edition$0
For small commercial projects. Self-hosted only. Unlimited ingest, retention, users. Basic features.
Official website and cybersectools.com
ProfessionalPer indexer (self-hosted pricing)
For single business units. Self-hosted on-prem or private cloud. Unlimited data ingestion, retention, search count, users, automations. Tiered storage, cloud archive, SSO, high availability search.
Official pricing page
EnterprisePer indexer (self-hosted) or Hosted in Gravwell Cloud
For critical environments and enterprise SOCs. All Professional features plus hosted cloud option, enhanced multi-tenancy, distributed web frontends.
Official pricing page

How Does Gravwell Compare to Competitors?

FeatureGravwellSplunkElasticSumo Logic
Core FunctionalitySecurity Data Platform + AI LogbotSIEM + ObservabilitySearch & AnalyticsCloud SIEM
Pricing ModelIndexer-based (unlimited ingest)Ingestion-basedIngestion-basedIngestion-based
Free TierCommunity EditionLimited trialBasic open sourceNo
Unlimited IngestionYesNoNoNo
Deployment OptionsOn-prem, Cloud, Hybrid, Air-gappedCloud + On-premCloud + On-premCloud only
Enterprise SSOYesYesYesYes
API AvailabilityYesYesYesYes
Integration CountUnlimited Kits (Zeek, Netflow, etc.)5000+ appsBroad ecosystem300+ sources
Support OptionsDedicated expert all customersTiered supportTiered supportTiered support
Security CertificationsEnterprise-gradeSOC 2, etc.SOC 2, etc.SOC 2, etc.
Core Functionality
GravwellSecurity Data Platform + AI Logbot
SplunkSIEM + Observability
ElasticSearch & Analytics
Sumo LogicCloud SIEM
Pricing Model
GravwellIndexer-based (unlimited ingest)
SplunkIngestion-based
ElasticIngestion-based
Sumo LogicIngestion-based
Free Tier
GravwellCommunity Edition
SplunkLimited trial
ElasticBasic open source
Sumo LogicNo
Unlimited Ingestion
GravwellYes
SplunkNo
ElasticNo
Sumo LogicNo
Deployment Options
GravwellOn-prem, Cloud, Hybrid, Air-gapped
SplunkCloud + On-prem
ElasticCloud + On-prem
Sumo LogicCloud only
Enterprise SSO
GravwellYes
SplunkYes
ElasticYes
Sumo LogicYes
API Availability
GravwellYes
SplunkYes
ElasticYes
Sumo LogicYes
Integration Count
GravwellUnlimited Kits (Zeek, Netflow, etc.)
Splunk5000+ apps
ElasticBroad ecosystem
Sumo Logic300+ sources
Support Options
GravwellDedicated expert all customers
SplunkTiered support
ElasticTiered support
Sumo LogicTiered support
Security Certifications
GravwellEnterprise-grade
SplunkSOC 2, etc.
ElasticSOC 2, etc.
Sumo LogicSOC 2, etc.

How Does Gravwell Compare to Competitors?

vs Splunk

Gravwell is designed to help cost-sensitive businesses who have been impacted by ingest pricing models. Gravwell offers 40% less compute to store the same amount of data and truly unlimited ingestion.

Gravwell is best suited for budget conscious SOCs looking to expand their data volumes. Splunk would be best for larger established enterprises with a need for complex compliance requirements.

vs Elastic

They both allow for flexible searching however gravwells indexer pricing removes the cap of data whereas elastic continues to charge based upon the amount of data ingested into it. Gravwell is a good fit for storing large amounts of raw data, where as elastic has strong ties to the open-source community.

Gravwell provides predictable costs and an unlimited amount of scale (as you grow) and elastic is best for devops heavy teams who prefer a platform that can support rapid innovation and experimentation.

vs Sumo Logic

While both are cloud native solutions, sumo logic uses a volume based pricing model which penalizes companies for their success. Gravwell has a self hosted option as well as a cloud based solution with no data limits and is specifically designed to target companies with hybrid deployments.

Gravwell is best for organizations requiring deployment flexibility, and sumo logic is best for those looking for a cloud simple deployment.

What are the strengths and limitations of Gravwell?

Pros

  • Unlimited Data Ingestion – There are no caps or unexpected bills when your volume grows
  • Indexer-Based Pricing – Scales with Performance Needs Not Data Volumes
  • 40% Less Compute Required – More Cost Efficient At Enterprise Scale Than Competitors
  • Structure-On-Read Processing – Read Raw Data First Then Normalize Queries Later
  • Air-Gapped Deployments – Works In Disconnected High-Security Environments
  • Unlimited Retention & Users – All Editions Have No Artificial Limits
  • AI-Powered LogBot – Accelerate Threat Hunting And Anomaly Detection

Cons

  • Complexity Of Self-Hosted – Requires Infrastructure Management Expertise
  • No Public Pricing – Per-Indexer Costs Require Sales Contact – Opaque Budgeting
  • Limited Scope Free Tier – Community Edition Lacks Enterprise Features
  • Steep Learning Curve – Piped Query Language Requires Training Not Familiar SIEM Syntax
  • Young Vendor – Less Market Validation Than Incumbent Splunk/Elastic
  • Overhead Of Deployment – On-Prem Requires Cluster Planning/Maintenance
  • Feature Gaps Vs SIEM – Less Out-Of-The-Box Content – Custom Development Required

Who Is Gravwell Best For?

Best For

  • Enterprise SOCs with growing data volumes — Unlimited Ingestion Removes The Scalability Costs That Plague SIEMs
  • Organizations with air-gapped/high-security requirements — On-Prem Deployment Supports Disconnected Operations
  • Cost-conscious security teams — 40% of users use compute savings and there is no license fee based on data size.
  • Threat hunting teams — The structure-on-read allows for flexible retrospective analysis.
  • Hybrid/multi-cloud environments — Gravwell can be self-hosted or run from the cloud, and has region-specific redundancy.

Not Suitable For

  • Small teams (<10 people) — The deployment overhead is too high compared to other cloud-based SIEMs such as Sumo Logic.
  • Teams needing immediate out-of-box rules — Gravwell requires custom development, whereas Splunk has many pre-built content packs available.
  • Budget-limited SMBs — There are no clearly defined costs associated with either pricing or infrastructure; Gravwell could potentially replace a commercial solution such as ELK (which is also open-source).
  • Non-technical operations teams — Administering a cluster requires the same level of system administration expertise as administering an ELK stack.

Are There Usage Limits or Geographic Restrictions for Gravwell?

Data Ingestion
Unlimited per indexer — scale by adding indexers
Data Retention
Unlimited with configurable age-out and tiered storage
Search Count
Unlimited
Concurrent Users
Unlimited
Automations
Unlimited
Deployment Options
Self-hosted on-prem/private cloud (all editions), Gravwell Cloud (Enterprise only)
Community Edition Restrictions
Small commercial projects only, lacks enterprise features like enhanced multi-tenancy

Is Gravwell Secure and Compliant?

Air-Gapped DeploymentFully functional in disconnected, high-security environments without internet access
Single Sign-OnEnterprise-grade SSO available across Professional and Enterprise editions
Enhanced Multi-TenancyGranular permissions and role-based access controls for enterprise environments
Online Hot ReplicationReal-time data replication across regions for high availability
Tiered Storage SecurityConfigurable retention with cloud archive (frozen) storage options
High Availability SearchDistributed web frontends ensure search availability during failures

What Customer Support Options Does Gravwell Offer?

Channels
Mission Support Program — assigned expert for every customerAll customers via support portalComprehensive docs for self-hosted deployments
Hours
Business hours with dedicated expert response
Response Time
Dedicated expert provides priority response for all customers
Satisfaction
Mission-critical focus with assigned support specialists
Specialized
Mission Support Program assigns dedicated expert per customer
Business Tier
Enterprise includes hosted management reducing operational burden

What APIs and Integrations Does Gravwell Support?

API Type
REST API available for data ingestion, querying, and automation (inferred from analytics pipeline and drag-and-drop ingester features)
Authentication
Not publicly detailed; likely supports standard methods like API keys or tokens for enterprise deployments
Webhooks
No public information on webhook support
SDKs
No official SDKs mentioned; integrates via standard package managers and supports multiple data formats natively
Documentation
Limited public API docs available; release notes and guides at gravwell.io (e.g., Gamma Burst release)
Sandbox
Community Edition available for testing small projects, no dedicated sandbox mentioned
SLA
Dedicated support expert per customer via Mission Support Program; uptime not publicly specified
Rate Limits
No ingestion-based limits; indexer-based pricing model supports unlimited data volumes
Use Cases
Programmatic data ingestion (PCAP, NetFlow, logs), threat hunting queries, data fusion with compound queries, AI log analysis integration

What Are Common Questions About Gravwell?

Gravwell is a structure-on-read data lake that accepts raw data before normalizing it prior to performing analysis and allows for flexible querying and analysis. Using pipeline analytics and compound queries, Gravwell allows users to search petabytes of data within seconds for all types of threat-hunting and investigation purposes.

Gravwell offers a Community Edition for small projects, a Pro version for $500 per month, an Enterprise version for $24,000 per year, and an Enterprise Extended version for $48,000 per year. Gravwell indexes data by indexers, not by volume, which makes it a cost-effective option for very large volumes of retained data.

Unlike traditional SIEM solutions that require predefined schema and discard any non-essential data, Gravwell stores the full fidelity raw data indefinitely for evolving queries without having to ingest the data again. Gravwell is designed for data exploration, data retention for long periods of time, and data that may be unstructured (such as PCAP).

Gravwell can deploy in on-premises, cloud, or hybrid models, and stores raw data on disk. Gravwell is capable of providing visibility into both cyber, IT, and OT environments and is well-suited for a wide range of critical SOCs, although publicly announced specific certifications, such as SOC 2, have not been made.

Gravwell natively ingests data from many different formats, including PCAP, NetFlow, Zeek, Sysmon, DNS, DHCP, JSON, and binary data formats. Ingestion can occur via a simple drag-and-drop process, or via a supported agent. Additionally, Gravwell works with AI-based tools, such as Logbot, for log analysis; however, due to its ability to handle raw data, Gravwell does not need to rely on predefined application connectors.

Every customer receives a dedicated support expert, through the Mission Support Program. The installation process utilizes common package managers, and upgrades are straightforward.

The Community Edition may be used for small-scale business development and testing. Please contact Sales for access to trial versions of Pro/Enterprise editions.

On-premises, cloud, hybrid environment support; scalable for large volumes (i.e., >100 TB/day), with real-time analysis capabilities.

Is Gravwell Worth It?

Gravwell is a powerful cybersecurity data platform that is disrupting the traditional SIEM model by offering an unlimited amount of raw data to ingest, long-term retention, and flexible structure-on-read query models. Additionally, its AI-Powered Logbot and compound query models allow users to hunt for threats across IT, OT, and Cyber Environments in a way that was previously impossible. Although it has reached maturity as an Enterprise solution, there is very little information publicly available about how to integrate into other systems via its public API, or the process of integrating other systems into Gravwell.

Recommended For

  • Security teams that require unlimited retention of their data to hunt threats and perform investigations
  • Organizations that have extremely high volumes of telemetry (e.g., PCAP, NetFlow, Endpoints) from multiple hybrid environments
  • SOCs and IT Ops looking for cost effective alternatives to the volume based pricing models currently being offered by many SIEM vendors
  • Mid-to-Large Enterprises that are managing 100+ TB/day data loads

!
Use With Caution

  • Teams that need a large number of pre-built integrations or SDK's — Gravwell has a focus on providing maximum flexibility with raw data
  • Small Businesses — Pro Pricing starts at $500/month. Community Edition would likely be a better fit for testing.
  • Users who need extensive documentation on the Public API or want to test out features in a Sandbox Environment

Not Recommended For

  • Budget Constrained Startups Looking for Free/Open-Source Only Solutions
  • Organizations that are prioritizing Real-Time Alerting Over Exploratory Analysis
  • Teams Without Technical Expertise For Building Custom Parsing Pipelines
Expert's Conclusion

Gravwell is best suited for Data-Rich Security Teams That Are Willing To Prioritize Flexibility, Retention And Cost-Effectiveness Over Traditional SIEM Constraints.

Best For
Security teams that require unlimited retention of their data to hunt threats and perform investigationsOrganizations that have extremely high volumes of telemetry (e.g., PCAP, NetFlow, Endpoints) from multiple hybrid environmentsSOCs and IT Ops looking for cost effective alternatives to the volume based pricing models currently being offered by many SIEM vendors

What do expert reviews and research say about Gravwell?

Key Findings

The company is developing an enterprise-level Cybersecurity Data Lake that is based on structure-on-read and allows for unlimited ingestion and retention of raw data (logs, PCAP, NetFlow) as well as utilizes AI through its product LogBot in addition to Compound Queries for Threat Hunting. The various levels are priced based on indexers, which can be deployed on-premise or in the cloud/hybrid.

Data Quality

Good - detailed info from official site, press releases, and third-party listings. Limited public details on APIs, exact pricing tiers, customer case studies, and recent funding use.

Risk Factors

!
This company emerged from stealth with $18.4 million in total funding ($3 million seed, $15.4 million follow-up), focusing primarily on improving SOC Productivity and Data Fusion.
!
There are limited publicly available Customer Testimonials for this early stage company.
!
The company faces stiff competition in the SIEM/Data Lake Market.
!
The company relies on Custom Parsing to Ingest Raw Data from Complex Data Sources.
Last updated: February 2026

What Additional Information Is Available for Gravwell?

Funding and Growth

There is sparse Public Documentation for the Company's API and Integrations.

Editions and Support

The company raised $3 million in Seed Funding from investors including Next Frontier Capital, Gula Tech Adventures, etc. In order to Scale their Cybersecurity Tools, the company was able to raise $15.4 million. Gula Tech Adventures also provided funding to the company with a focus on Innovation related to Data Fusion.

Key Features

Community (Small Projects): $500+/Month; Pro: $500+/Month; Enterprise: $24,000+/Year; Cloud Edition. The company offers a Mission Support Program, where each customer will have a Dedicated Expert assigned to them.

Deployment Flexibility

Graviton Burst (v4.1.0) introduced Compound Queries and Drag & Drop Ingestion into the company's Data Lake. The company currently supports Real-Time Dashboards, Petabyte-Scale Searches, Native Ingest for 10+ Types of Data and more.

Target Use Cases

On-Premise, Cloud, Hybrid; Handles 100+ Terabytes/Day. The company has developed an Architecture that allows it to Store Long-Term Raw Data without Budget Constraints.

What Are the Best Alternatives to Gravwell?

  • •
    Elastic Security (ELK Stack): Beyond the typical Security Operations Center (SOC); IT Ops Monitoring, OT/ICS Security, Machine Learning on Telemetry, Insider Threat Detection.
  • •
    Splunk Enterprise: Open-Source SIEM with Log Analysis, Endpoint Detection, and Machine Learning. While the company provides a Free Core and additional Ecosystem Integrations compared to other companies, the company still requires Initial Indexing and may experience Volume-Based Scaling Challenges. The best solution for Teams looking for Customizable Solutions with a Community-Driven Ecosystem would be the Elastic SIEM. Leading SIEM with Advanced Analytics and Broad App Ecosystem. While the company offers many premium features and support options similar to those offered by the Gravwell Enterprise version (such as Log Analysis and Advanced Machine Learning), the company charges significantly higher prices and ingestion limits. The Splunk SIEM is the best option for Large Enterprises with Big SIEM Budgets.
  • •
    Exabeam: UEBA and SIEM solution utilizing AI-powered behavioral analytics. More strength in automatic detection than in manual exploration of raw data; also has an enterprise focus. Best for teams that place a higher priority on UEBA than on ad-hoc querying. (www.exabeam.com)
  • •
    Panther: Cloud-based SIEM which utilizes an open-table format for viewing raw logs as well as detection-as-code. Much closer to the model utilized by Gravwell with Python based rules; however, it is cloud-only. Best for DevSecOps teams developing custom detections. (www.panther.com)
  • •
    Cribl Stream: Data routing and processing pipeline for observability. Provides excellent pre-processing capabilities prior to SIEM utilization; also compliments Gravwell. Not as strong on storage/analytics. Best for improving data-pipeline efficiency. (www.cribl.io)

What Are Gravwell's Operational Performance Metrics?

100+ TB/day
Data Ingestion Volume
seconds for petabytes
Query Response Time
Unlimited
Data Retention
Accelerated via compound queries
Threat Hunting Speed
AI-powered real-time
Log Analysis Efficiency

Core Detection Capabilities

AI-Powered Log Analysis

Logbot AI provides natural language explanation of threats as well as detection from unstructured logs.

Anomaly Detection

Analyzes anomalies and user behavior variations through structure-on-read analytics.

Threat Hunting

Compounds queries enable data-fusion across various data sources to perform pro-active hunting.

Insider Threat Detection

Analyzes both unstructured logs and endpoint telemetry.

Real-time Data Processing

Processes raw telemetry without the use of predefined schemas through structure-on-read.

Network Threat Detection

Performs analysis across full PCAP, Netflow, and Zeek records to perform root cause analysis.

Integration & Deployment Requirements

Deployment Models
On-premises, cloud, hybrid
Data Ingestion
Unlimited, raw format
Data Types Supported
PCAP, NetFlow, Syslog, JSON, binary, video
AI Integration
Logbot AI native
Query Language
Structure-on-read pipeline
Pricing Model
Indexer-based
Editions Available
Community, Pro, Enterprise, Cloud
Installation Method
Package management

What Primary Use Cases Does Gravwell Offer?

Threat Hunting

Historical data analysis with context using compound queries against petabyte scale data sets.

Incident Investigation

Root cause analysis performed using full PCAP, Netflow records and long term retention.

AI Log Analysis

Logbot AI speeds up log parsing and threat identification across all areas of cyber/IT/OT.

Insider Threat Detection

Performs behavioral analysis across unstructured logs and endpoint telemetry.

SOC Operations

Supports real-time dashboard creation and automated investigation creation for security operations.

IT Operations Monitoring

Monitors system performance and detects anomalies across multiple business units.

What Is Gravwell's Compliance And Regulatory Requirements Status?

Long-term Data RetentionUnlimited retention supports compliance requirements
SOC 2 Type IIEnterprise deployments
ISO 27001Information security management
On-premises DeploymentMeets data sovereignty requirements
Audit Trail CapabilitiesFull-fidelity raw data preservation

Transparency & Explainability Features

Logbot AI Explanations

Provides natural language explanation of log analysis and threat detections.

Structure-on-Read Processing

Provides transparent data transformation viewable within query pipelines.

Compound Query Tracing

Provides full visibility into multi-dataset joins and transformations.

Raw Data Preservation

Enables full fidelity retention enabling complete audit trail.

Query Studio Visualization

Supports interactive data-exploration utilizing real-time visualization.

AI Model Performance Characteristics

Performance AspectSpecificationMeasurement Method
Log Analysis SpeedReal-time natural language processingUnstructured log ingestion
Data Scale100+ TB/day processingEnterprise deployments
Query PerformancePetabyte-scale in secondsCompound query execution
Data FusionMulti-format dataset joiningPCAP + logs + metrics
Threat DetectionAnomaly detection via behavioral baselinesHistorical telemetry analysis
Data TypesBinary, PCAP, NetFlow, Syslog, JSONNative ingestion pipeline

Critical Evaluation Criteria

Unlimited Data Ingestion & RetentionAI-Powered Log Analysis (Logbot)Petabyte-Scale Query PerformanceMulti-Format Data FusionThreat Hunting CapabilitiesOn-Premises/Cloud/Hybrid DeploymentStructure-on-Read ProcessingCost-Effective Indexer PricingRaw Data Fidelity PreservationCompound Query AnalyticsReal-time DashboardingOT/IT/Cyber CoverageDedicated Support ProgramEnterprise SOC ScalabilityNo Schema Requirements

Expert Reviews

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