Gain full observability.
Perform an in-depth analysis of all your data. Work with Raw Logs to get the complete and exact truth of what happened.
Delivers a single source for all cybersecurity data.
Store years of raw log data, time-series data, and binary data. No data normalization at ingest means rapid data onboarding and analysis.
Empower anyone to threat hunt, and decrease the time from intrusion to discovery, reducing the amount of damage done by attackers.
Easily investigate the timeline of an incident across the full breadth of your high-volume data sources.
Respond faster to security incidents.
Gravwell is optimized for the worst-case first methodology. Queries are still fast even when indexes cannot help to improve speed.
Make better decisions faster with the complete timeline of an incident.
Gain unprecedented ability to search through unstructured events.
Automate anything with a native automation engine,
allowing teams to scale and stay focused on high value, complex problems. Interact seamlessly with internal or external systems.
Get started quickly and write powerful and agile queries
using Gravwell’s query syntax (based on the Linux command line) that allows anyone to gain precise insights. If you can PowerShell you can Gravwell.
A single-stack solution with data storage efficiency dramatically reduces cost
by removing the need for multiple overlapping products and expensive SIEM storage.
Increase team efficiency, scalability, and impact.
Gravwell is easy to manage, allowing SecOps teams to focus on security, not on running software.
Incomplete and obscured visibility based on existing biases.
Normalizing and storing only filtered logs provides a limited and possibly inaccurate analysis.
Increased cost, time and complexity with reliance on 3rd parties
to deliver centralized cybersecurity data with the desired retention.
Potentially allow attackers to exploit unknown unknowns and dwell in your environment
for months, or even years, before discovery.
Face delays loading data into a SIEM and waiting for queries to execute.
Complex queries cause a lapse in performance with wait-times of multiple hours or even full business days.
Noisy and inconsistent responses
based on overzealous alerts that miss emerging threats and create false positives.
Increased cost and complexity
with reliance on 3rd parties to deliver automation for threat detection, threat hunting, and incident response.
Limited and inflexible syntax impedes time and precision in intricate scenarios.
Choose between security and data storage costs.
As your data grows, your bill grows at an exponential rate.
Teams are overwhelmed and distracted
by managing the software and not improving security.
