Threats aren’t vendor specific – your threat detections shouldn’t be either

DataBee® helps detect and stop threats with vendor agnostic detections as the data streams towards its destination. DataBee’s active detection streams apply sigma rules, an open-source signature format, over security data mapped to the open cybersecurity framework (OCSF) schema to seamlessly integrate into the existing security ecosystem with minimal customizations. Get more consistent security analytics coverage and break down technical barriers to protecting your business without learning another vendor-specific query language.

Streamline Security Threats with DataBee

Get more out of your security data estate by diverting high-volume and underutilized logs and feeds to a low-cost data fabric and data lake architecture to improve threat detection and reduce your SIEM spend.

DataBee delivers contextualized insights and time-series view aligned to the OCSF schema for any user or device. Minimize complex rules and customization and simplify threat detection across SIEM, data fabric, and other security tools using standardized sigma detection rules.  

Optimize SIEM Data Costs
Optimize SIEM Data Costs

Send high-volume system and security log data sources – such as Windows Event data, DNS, DHCP, and EDR -- to DataBee where it is joined and enriched for long-term storage in a data lake. Let your SIEM do what it’s best at – analysis, detection, and reporting – by keeping core security logs and accessing data on-demand.

Active Detection Streams with Sigma Rules
Active Detection Streams with Sigma Rules

(a) Sigma rules are an open-source signature format for log-based detections in network security monitoring and threat hunting.

(b) Active detection streams apply sigma rules to high-volume security data in transit to its destinations. 

(c) Easily understand context of detections and insights using Entity Time Series Views for any user, device, or entity activity.

(d) Forward alerts back to SIEM and SOAR to bring data into analyst’s visualization and business intelligence tools of choice 

Standardized Detection Coverage
Standardized Detection Coverage

(a) Sigma detection rules are imported and managed via content repository to DataBee to quickly operationalize detection content. As an open-source signature format, active detection streams applies sigma rules to detect and stop threats with minimal customization, integrating into your existing security ecosystem. 

(b) DataBee handles the translation from Sigma to OCSF to support organizations on their journey to vendor agnostic security operations. 

Entity Time Series Views
Entity Time Series Views

(a) Entity Resolution aggregates user and device information from multiple data sources, merges duplicate entries and create an authoritative ID for each entity in your environment. 

(b) DataBee creates an entity timeline, associating each event with the correct entity at the time of its activity 

(c) Entity Views provide security analysts with comprehensive event timelines for any entity without having to do any manual correlation of users and devices

Insider Threat Hunting
Insider Threat Hunting

(a) DataBee creates a unique ID for every user across the environment mapped to their devices to enable faster hunting for insider threats. 

(b) The entity views enable security analysts to see all activities conducted by a user and related business context in a single view to identify malicious behavior.  

Leave no data behind and gain more comprehensive security analytics coverage

Regardless of the maturity of technology stacks and teams, data silos can create inconsistencies in security coverage. Enterprises can now obtain security insights while data streams to its destination. DataBee correlates and transforms security data, enabling you to leverage active detection streams to apply security content to the data as it travels to its destinations.

Scale your security stack based on capabilities – not integration

Invest in tools and technology that is best for your business. DataBee is data source and data lake agnostic, working with tools your analysts and engineers already use. Active detection streams fuse an open-source signature format with an open-source schema to create a more effective and flexible workbench for security analytics. By using sigma rules from Github, your analysts and engineers benefit from automated management of signatures.

Gain control over cost and the data sent to your SIEM

Finding real signals from high-volume log sources is like finding the needle in a haystack. DataBee optimizes your security information event management (SIEM) by applying active detections streams to security data in transit. Instead of fine-tuning noisy logs and managing extensive content customizations, retain only security logs needed for detections, analysis, and reporting in the SIEM. Data that is traditionally discarded can be stored cost-effectively and analyzed on-demand in a data lake.

Reduce the impact of the cybersecurity skills gap

Break free from vendor-specific query languages and tool lock-in. As an open-source, vendor-agnostic format, sigma rules imported from Github are used in active detection streams and applied to security content so that your analysts and engineers don’t have to learn another niche skill that could affect how you protect your business. Additionally, DataBee can help you convert SIEM detections into sigma detection so you can get more consistent coverage across tools.

Easily fine-tune streams to reduce analyst fatigue

Adjust the streams to ignore users, devices, or fields that can skew the alerts' integrity. With DataBee’s suppressions capability, you can fine-tune Security Findings based on selected criteria. The scheduling option uses an innovative approach that gives you a way to account for recurring known events like change windows that might fire alerts or additional issues that could lead to false positives.

Why DataBee for Security Threats Matters

Traditional log management and security information event management (SIEMs) are expensive, difficult to manage, and as a result, can miss critical incidents. It’s time to transition to a security, risk, and compliance data fabric platform that is economical and modular for business needs. 

Get your high-volume data sources back in the security game for threat detection and insider risks. For example, cost effectively analyze windows event logs, that are too expensive to put in SIEMs. Future-proof detection management by leveraging Sigma rules as a standardized language to run the same detections across your data fabric, SIEM, and across all your cyber security tools. 

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