Tenable®, the exposure management company, today announced the release of Vulnerability Intelligence and Exposure Response, two powerful context-driven prioritization and response features available in Tenable Vulnerability Management, Tenable One and Tenable Cloud Security. The combined power of these features contextualises vulnerability data from internal and external sources, enabling organisations to close the exposures that pose the greatest risks to their businesses.
Cybersecurity teams are inundated with troves of fragmented vulnerability and threat intelligence data, but Tenable Research reveals that only 3% of vulnerabilities most frequently result in impactful exposure. Tenable’s new capabilities (Vulnerability Intelligence and Exposure Response) help enable customers to pinpoint these key vulnerabilities with rich context, curated by Tenable Research, and close risky exposures.
Watch the Tenable Vulnerability Intelligence and Exposure Response product demo video here.
“Without threat context and research insights, every vulnerability is a priority, creating a high-stress, low efficiency whack-a-mole scenario for security teams,” said Tenable’s Gavin Millard, VP of product management for Vulnerability Management. “Tenable is unleashing more than two decades of carefully curated exposure data to enable security teams to focus on the risk that matters most to their organization and communicate succinctly to stakeholders. The enriched intelligence and contextualisation takes prioritisation and response to a new level, providing security teams with the critical data needed to identify and reduce risk.”
In the last two decades, Tenable has collected and analysed 50 trillion data points on more than 240,000 vulnerabilities, capturing detailed vulnerability information and deep context. This enriched database supercharges Tenable Vulnerability Intelligence, enabling efficient proactive defence. Backed by the expertise of Tenable Research, Vulnerability Intelligence integrates comprehensive vulnerability sources designed to streamline data analysis and enable security teams to quickly understand vulnerability details. With comprehensive, action-oriented workflows from Exposure Response, security teams can prioritise asset exposures based on criticality, monitor remediation trends against SLAs and track progress against desired outcomes. This will help customers ensure resources are used efficiently, reduce risk and communicate value to stakeholders in business terms.
Vulnerability Intelligence and Exposure Response are available to Tenable Vulnerability Management and Tenable One customers, empowering proactive security for the modern enterprise. Vulnerability Intelligence is also accessible directly from Tenable Cloud Security. Key features include:
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Threat Landscape Overview – Seven curated exposure risk categories provide a unique way to proactively surface key exposures that warrant further review by highlighting CVEs under CISA known exploits, active exploitation, ransomware campaigns, emerging threats in the news and more.
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Natural Language and Advanced Search – Easy to use search function that enables security teams to search for specific vulnerabilities by CVE number or common name, review distilled knowledge available on a vulnerability and surface impacted assets quickly. Buildable advanced query that enables security teams to zero in on high-impact vulnerabilities by identifying groups of vulnerabilities based on VPR key drivers, common vulnerability scoring system (CVSS) metrics and Tenable Research metadata.
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Campaign-Based Initiatives: Targeted campaigns and business segments using an end-to-end workflow that streamlines prioritisation and mitigation of critical vulnerabilities, designed to promote efficient use of resources and improved security outcomes.
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Progress Tracking and Advanced Reporting: Advanced reporting capabilities provides clear accountability and visibility into remediation efforts and detailed reports on vulnerability trends, empowering data-driven decision-making and proactive security improvements, such as identifying bottlenecks, assisting with resource allocation and facilitating data-driven decisions.