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Average Ratings 0 Ratings

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ease
features
design
support

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Description

Marengo is an advanced multimodal model designed to convert video, audio, images, and text into cohesive embeddings, facilitating versatile “any-to-any” capabilities for searching, retrieving, classifying, and analyzing extensive video and multimedia collections. By harmonizing visual frames that capture both spatial and temporal elements with audio components—such as speech, background sounds, and music—and incorporating textual elements like subtitles and metadata, Marengo crafts a comprehensive, multidimensional depiction of each media asset. With its sophisticated embedding framework, Marengo is equipped to handle a variety of demanding tasks, including diverse types of searches (such as text-to-video and video-to-audio), semantic content exploration, anomaly detection, hybrid searching, clustering, and recommendations based on similarity. Recent iterations have enhanced the model with multi-vector embeddings that distinguish between appearance, motion, and audio/text characteristics, leading to marked improvements in both accuracy and contextual understanding, particularly for intricate or lengthy content. This evolution not only enriches the user experience but also broadens the potential applications of the model in various multimedia industries.

Description

Conventional endpoint detection and response (EDR) systems concentrate solely on the activities within endpoints to identify potential threats. This narrow focus results in a lack of comprehensive context, hindering accurate attack analysis and resulting in an incomplete understanding of security incidents, alongside a propensity for numerous false positives and negatives. Consequently, organizations find themselves needing to deploy various point solutions and maintain large teams for incident response. Qualys addresses these limitations by introducing a novel multi-vector approach, leveraging the robust capabilities of its scalable Cloud Platform to enhance EDR with essential context and extensive visibility across the entire attack lifecycle—from prevention through detection to response. The Qualys Multi-Vector EDR integrates various contextual elements such as asset discovery, a detailed software inventory, insights into end-of-life assets, vulnerabilities, exploitable conditions, misconfigurations, comprehensive endpoint telemetry, and network accessibility, all supported by a powerful backend that facilitates accurate correlation for effective assessment, detection, and response—all within a single cloud-based application. This approach not only streamlines the process but also empowers organizations to respond more effectively to threats.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Chronicle SOAR
Panaseer
Phoenix Security
TwelveLabs

Integrations

Chronicle SOAR
Panaseer
Phoenix Security
TwelveLabs

Pricing Details

$0.042 per minute
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

TwelveLabs

Founded

2021

Country

United States

Website

www.twelvelabs.io/product/models-overview#marengo

Vendor Details

Company Name

Qualys

Founded

1999

Country

United States

Website

www.qualys.com/apps/endpoint-detection-response/

Product Features

Product Features

Endpoint Detection and Response (EDR)

Behavioral Analytics
Blacklisting/Whitelisting
Continuous Monitoring
Malware/Anomaly Detection
Prioritization
Remediation Management
Root Cause Analysis

Alternatives

Alternatives

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VideoPoet

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