Leave Behind Legacy Vulnerability Management

​Measure and control your true cyber exposure using a risk-based vulnerability management.

Organizations using a CVSS scoring strategy to prioritize their remediation efforts waste 76% of their time remediating vulnerabilities that pose little to no risk—while leaving 44% of the riskiest vulnerabilities in their environment.

PROTECT YOUR ATTACK SURFACE

Legacy vulnerability management solutions weren't designed to handle your modern attack surface and the increasing cyber threats that come with it.

Your attack surface is no longer just traditional IT assets. It also includes mobile devices, web apps, cloud infrastructure, containers, Internet of Things (IoT) devices and operational technology (OT) assets.
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In these modern networks, legacy vulnerability management tools can’t deliver complete and timely insights into all of the devices across your entire attack surface. That leaves you with blind spots and increases your Cyber Risk Exposure.

A risk-based approach to your vulnerability management program protects your attack surfaces and facilitates:

• Complete visibility into your attack surface, including modern asset types like cloud, operational technology (OT), IoT, serverless and containers
• Vulnerability prioritization, powered by machine learning, so you can determine which vulnerabilities attackers may be most likely to exploit in the near term
• Dynamic and continuous assessment of all of your assets and vulnerabilities, including asset criticality ratings.

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REDUCE THE GREATEST AMOUNT OF BUSINESS RISK
​WITH THE LEAST AMOUNT OF EFFORT

Security leaders need to understand vulnerabilities in context and use that data to prioritize their team’s efforts. But, there’s a problem: The number of vulnerabilities has nearly tripled in the last couple of years, creating too much data for teams to process on their own.
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Download Whitepaper - How to Prioritize Risk Across The Attack Surface to learn:

• Why CVSS is a poor indicator of risk and fails as a tool for prioritization
• How machine learning capabilities can help you predict the vulnerabilities most likely to be exploited
• Why it’s essential to factor in asset criticality when prioritizing vulnerabilities for remediation

DOWNLOAD WHITEPAPER