Security

Data Platform 

Enabling Actionable Insights

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Gravwell provides a modern, scalable approach to security data
management, enabling security teams to analyze data on demand using a piped query language. The Gravwell search pipeline’s extensible structure promotes threat hunting and data exploration by using structure-on-read to extract, transform, and visualize data to execute complex and wide-reaching investigations.

choosing an SDP vs SIEM

WHAT IS GRAVWELL?

Centralized Logging
Flexible Querying
Statistical Modeling
AI Models
System Baselining And Change Detection
Data Enrichment

SIEM Challenges

  • Expensive licensing and storage
  • Performance degradation with large datasets
  • Limited flexibility for deep threat hunting
  • High operational overhead for managing out of the box rules that are not customized to the users environment

SDP Challenges

  • Requires skilled analysts to maximize potential
  • Can be complex to implement alongside legacy systems
  • Less focus on compliance “out-of-the-box”
  • Need for significant data engineering expertise
Read more on the differences
between SDP vs SIEM

SDP KEY FEATURES

Structure on Read

Unlike SIEMs, which structure data
upon ingestion, SDPs allow
for flexible querying without
predefined schemas.

piped Query Language

Advanced filtering and analytics
capabilities for rapid threat
detection.

Scalability

SDPs can ingest and query large
volumes of data. Deployments
have been seen to ingest 100/TB
per day.

Threat Hunting Enhanced

Enables security analysts to
conduct deeper investigations
without pre-configured rules

Open Data Model

Ensures interoperability with
various security tools and sources.

Deployment

Operates in cloud, on prem and in
air gapped environments.

While SDPs can function independently, they also enhance SIEM capabilities by providing
deeper analysis, improved performance, and cost-effective data retention. Many
organizations use SDPs as a secondary layer of security intelligence to refine
SIEM-generated alerts.

Improve your workflow

Investigate
Gravwell offers a panoramic view of your
security horizon, enabling actionable
insights through the Query Studio.

Detect &
Investigate

Effortlessly flter and transform data to identify anomalies and understand user behavior, detecting potential security threats and attacker TTPs.

The Gravwell search pipeline’s extensible structure promotes threat hunting
and data exploration by using structure-on-read to extract, transform and
visualize data to execute complex and wide-reaching investigations. Since
Gravwell uses one language for all investigations and detections, you can
easily convert any threat hunt results directly into scheduled detections.

Respond
Using Gravwell’s no-code automation platform Flows,
adds dynamic responses to act on detected events.

Respond

Flows extends the reach of analysts and engineers to act on
information with notifcations, HTTP requests, chat messages
and more.

Flows can be run on a cron timer, to aggregate and summarize
data, as the response to a detected event, to alert, conduct
secondary searches or interact with external systems, or on a
manual basis to perform maintenance tasks or run reports.

Visualize

Visualize

Gravwell’s Dashboards
Transform Data Into
Actionable Insights.

Utilizing various charts and graphs, these
visualizations help identify anomalies and
make sense of complex datasets,
accelerating response to critical scenarios

Build custom dashboards with Gravwell
Templates for dynamic and intuitive data
interaction. This dashboard-building
experience scales insights across teams,
aiding issue resolution and strategic planning.

Gravwell also provides Kits that come with
pre-built dashboards providing the most
commonly requested visualizations for the
most popular data sources.

See Gravwell
in Action

Searching for no limits and no nonsense?

Contact our team to schedule your demo and leverage Gravwell in
your organization.

DOCUMENTATION

All Gravwell documentation is free and open to everyone. 

If you’re just starting out with Gravwell, we recommend reading the Quick Start first, then moving on to the Search pipeline documentation to learn more.