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Description

To effectively tackle the difficulties presented by unfamiliar threats, cybersecurity experts in both operational technology (OT) and information technology (IT) must have the capability to deploy policies that are contextual, adaptive, and dynamic, utilizing deceptive techniques to enhance security measures. By eliminating the hassle of false positives, automated responses can effectively manage these threats, safeguarding against further exploitation, data exfiltration, and additional damage. Discover how partnering with a seasoned cybersecurity firm can empower you to address your security challenges. Every OT asset or facility linked to a wider network or the internet poses a potential entry point for cyber threats. Aging infrastructure, outdated technology, and unsupported devices are also vulnerable to cyber attacks and require diligent protection. Cybersecurity professionals often struggle with excessive network noise, a flood of false-positive alerts, and the fatigue that comes from sifting through them. As IT networks evolve and expand to meet new business demands, this ongoing cycle of adaptation continues to complicate the landscape. Staying ahead of these challenges necessitates a proactive and strategic approach to cybersecurity that evolves alongside technological advancements.

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.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

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

Integrations

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

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version 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 

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 Yes 
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 Yes 

Types of Training

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

Vendor Details

Company Name

PacketViper

Country

United States

Website

www.packetviper.com

Vendor Details

Company Name

Rilevera

Founded

2024

Country

United States

Website

www.rilevera.com

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