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features
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support

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Description

Rilevera functions as an AI Detection Engineer that consistently assesses, enhances, and oversees detection mechanisms across SIEM, EDR, and various data platforms, allowing security teams to concentrate on neutralizing genuine threats rather than pursuing ineffective rules. It meticulously validates detection logic, checks telemetry dependencies, and ensures schema integrity across diverse platforms, promptly detecting when a rule fails or essential data is lost. The AI-driven detection optimization leverages performance metrics, trends in false positives, overlaps, and the quality of logic to propose enhancements and seamlessly integrate validated updates back into operational platforms. Conducting Coverage and Gap Analysis, it aligns detections and telemetry with MITRE techniques and recognized threat actors, enabling teams to pinpoint vulnerabilities and prioritize the creation of new rules. Structured workflows for design, validation, peer review, and managed deployment inject both discipline and efficiency into the detection lifecycle. Additionally, Rilevera's ongoing evaluation of detection performance serves to enhance signal quality, alleviate alert fatigue, and ultimately bolster the overall effectiveness of security measures. Through its innovative approach, Rilevera empowers security teams to work more efficiently and effectively against potential threats.

Description

SOCLabs serves as an engaging training platform focused on cybersecurity, specifically designed for security operations teams, detection engineers, and blue team defenders. It bridges the gap between theoretical knowledge and practical application by offering realistic simulations, genuine threat data, and hands-on activities. Among its standout features is the pioneering Detection Challenge module, which allows users to craft and validate rules utilizing actual attack datasets. The platform is compatible with leading SIEM query languages including Sigma, Splunk, Elastic, and OpenSearch, ensuring one-click validation and accuracy assessments rooted in the MITRE ATT&CK framework. Additionally, the Learning System provides comprehensive courses that range from foundational defense tools to advanced enterprise architecture, complemented by interactive labs and scenario-based challenges. The DetectionHub facilitates ongoing log analysis and query evaluations, while the Collaborative Ecosystem fosters connections among global experts, enabling them to share insights, contribute to rule development, and collaboratively address emerging threats. This comprehensive approach not only enhances individual skills but also strengthens community efforts in cybersecurity.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

No images available

Integrations

CrowdStrike Falcon Yes 
Databricks Yes 
Datadog Yes 
Dataminr Yes 
Elasticsearch Yes 
Flare Yes 
Snowflake Yes 
Sumo Logic Yes 
Wiz Yes 

Integrations

CrowdStrike Falcon No 
Databricks No 
Datadog No 
Dataminr No 
Elasticsearch No 
Flare No 
Snowflake No 
Sumo Logic No 
Wiz No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

$10/month
Free Trial No 
Free Version Yes 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person No 

Types of Training

Training Docs No 
Webinars No 
Live Training (Online) Yes 
In Person No 

Vendor Details

Company Name

Rilevera

Founded

2024

Country

United States

Website

www.rilevera.com

Vendor Details

Company Name

SOCLabs

Founded

2002

Country

United Kingdom

Website

www.soc-labs.top

Alternatives

Alternatives