Malicious Detailed Detection Feed (MDDF)

Malicious Detailed Detection Feed™ (MDDF) | In Depth Malicious Intelligence

More Unique Detections of Malicious IOCs, Faster and More Accurately Than Any Other Threat Feed on the Market.

The Malicious Detailed Detection Feed™ (MDDF) delivers curated malicious intelligence data which identifies, confirms, and enriches malicious Indicators Of Compromise (IOCs) with a range of metadata attributes. The rich metadata reveals crucial details about the IOCs which are necessary for defenders, analysts, and key stakeholders to prioritize and take appropriate action against potential threats. The metadata includes attributes like full-path URLs, date created and/or expired, domain history, malware family, file hashes, and numerous other intelligence attributes.

Unique Detections – 40% More Threats Detected
Faster Detection – Up to 65% Faster Than Other Feeds
Lowest False Positive Rates – Ranging From 0.1% – 0.15%
Rich Metadata for Contextual Relevancy and Forensic Analysis

Real-Time, Continuous Updates
Curated 3rd Party Feeds plus zvelo Proprietary Data
Massive Clickstream Traffic From 600+ Million Users and Endpoints
Fast, Easy API Integration and Deployment

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Unrivaled Intelligence for Defending Against Malicious Threats

Malicious Detailed Detection Feed Maximizes Your Protection Against Malicious IOCs

zvelo’s proprietary AI-based threat detection and categorization technologies, combined with curated domains, threat and other data feeds, plus clickstream traffic from its partners’ 600+ million users, provide unmatched visibility, coverage, reach and accuracy for powering applications which protect users and devices from malicious threats.

Unique Malicious Detections

Advanced AI-based technology detects unique malicious IOCs earlier and more accurately than other providers so you can neutralize emerging threats when they are most dangerous.

Massive Clickstream Traffic

URLs from text, SMS, email, and surfing traffic of more than 600 million users supply continuous and comprehensive visibility into the global clickstream.

Metadata for Contextual Relevance

Metadata enriches IOCs with key details like the full-path URL, created date, domain history, malware family, and file hashes to establish contextual relevance of malicious threats.

Real-Time Malicious Detection

Newly identified malicious threats immediately propagate to global database deployments to maximize protection against emerging threats.

Curated Malicious Intelligence

zvelo leverages its massive clickstream traffic, along with other sensor-based data streams and proprietary data sources to identify, validate and enrich intelligence collected on malicious threats.

Real-Time, Continuous Updates

zvelo’s global AI-based network continuously monitors and analyzes ActiveWeb traffic and proprietary data sources to identify new malicious threats as they mutate and change.

Block Adversarial Attacks at the Initial Access Point

Extend Comprehensive Malicious Threat Protection to Your Users and End Points

Get the actionable threat intelligence required to block adversaries at the initial access point for comprehensive protection against malicious IOCs. MDDF is intended for defenders, threat analysts, and SaaS security vendors seeking to integrate premium cyber threat intelligence data into their solutions or services.

Managed Detection and Response (MDR)
Endpoint Detection and Response (EDR)
SIEM Alerting and Response
Secure Access Service Edge (SASE)

Attack Surface Monitoring
Red & Blue Team Data
Web Filtering & Parental Controls
Malicious Threat Analysis

Power Your Threat Protection with zveloCTI™

Maximum Precision, Efficacy, and Protection Against Evolving and Emerging Threats

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Malicious Detailed Detection Feed

Malicious Detailed Detection Feed delivers curated malicious intelligence data which identifies, confirms, and enriches malicious IOCs with a range of metadata attributes such as date detected, malware family, file hashes, and numerous other attributes which can be used for further threat analysis and enrichment.

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