Best Attack Surface Management Platforms for Trellix Data Encryption

Compare the Top Attack Surface Management Platforms that integrate with Trellix Data Encryption as of October 2025

This a list of Attack Surface Management platforms that integrate with Trellix Data Encryption. Use the filters on the left to add additional filters for products that have integrations with Trellix Data Encryption. View the products that work with Trellix Data Encryption in the table below.

What are Attack Surface Management Platforms for Trellix Data Encryption?

Attack surface management (ASM) platforms enables organizations to monitor and manage their attack surface risk. Attack surface management software allows companies to view cyber risks and attack vectors related to external digital assets outside of their firewall. These platforms continuously scan and assess an organization’s digital infrastructure, including networks, systems, applications, and endpoints, to detect vulnerabilities, misconfigurations, and exposed assets that could be exploited by attackers. Compare and read user reviews of the best Attack Surface Management platforms for Trellix Data Encryption currently available using the table below. This list is updated regularly.

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    SOCRadar Extended Threat Intelligence
    SOCRadar Extended Threat Intelligence, a natively single platform from its inception that proactively identifies and analyzes cyber threats with contextual and actionable intelligence. Organizations need to have better visibility into external facing assets and services and the related vulnerabilities they may present. It is clearly not sufficient to have only EASM solutions to eliminate cyber risks. Rather, EASM technologies are advised to be a component of a broader enterprise vulnerability management strategy. Enterprises are seeking digital asset protection wherever exposure may occur. The traditional focus on social media and the dark web is insufficient as threat actors proliferate sources. Monitoring capabilities across all environments (cloud buckets, dark web) are considered to equip the security team effectively. For a comprehensive Digital Risk Protection, services like site takedown and automated remediation should also be included.
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  • 2
    Cyble

    Cyble

    Cyble

    Cyble is a leading AI-native cybersecurity platform that delivers intelligence-driven defense to help organizations stay ahead of evolving cyber threats. Powered by its Gen 3 Agentic AI, Cyble offers autonomous threat detection, real-time incident response, and proactive defense mechanisms. The platform provides comprehensive capabilities including attack surface management, vulnerability management, brand protection, and dark web monitoring. Trusted by governments and enterprises worldwide, Cyble combines unmatched visibility with scalable technology to keep security teams ahead of adversaries. With advanced AI that can predict threats months in advance, Cyble helps reduce response times and minimize risks. The company also offers extensive research, threat intelligence reports, and personalized demos to support customer success.
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    Tenable One
    Tenable One radically unifies security visibility, insight and action across the attack surface, equipping modern organizations to isolate and eradicate priority cyber exposures from IT infrastructure to cloud environments to critical infrastructure and everywhere in between. The world’s only AI-powered exposure management platform. See every asset across your entire attack surface—from cloud environments to operational technologies, infrastructure to containers, and remote workers to modern web-apps with Tenable's market-leading vulnerability management sensors. With more than 20 trillion aspects of threat, vulnerability, misconfiguration and asset information, Tenable’s machine-learning powered predictions reduce remediation efforts by enabling you to focus first on the risks that matter most. Drive improvements required to reduce the probability of a business-impacting cyber event from occurring by communicating objective measures of risk.
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