Vulnerability Management Blog

Automating Vulnerability Management

Delve’s modern vulnerability management solution minimizes the manual effort - and eliminates the guesswork - from conventional VM operations.

Unlike legacy VM products that have delivered precious little innovation in the past decade, Delve offers:

  • A Fully Integrated, Comprehensive Solution
  • An Automated, Configuration-Free Approach to VM
  • Self-Learning, ML-driven Performance Improvement
  • Built-in, Meaningful Contextual Prioritization

Fully Integrated, Comprehensive Solution

Delve’s solution includes the following elements of a complete VM program:

  • Asset Discovery (Endpoints & Web Apps)
  • Built-In, Outlier Asset Identification Using ML
  • Machine and Connected Device Scanning
  • Integrated Web Application Security Testing
  • Delve’s Exclusive, ML-Driven, Contextual Prioritization
  • Remediation Planning and Risk-Reduction Scenario Reporting

This holistic view of a network’s vulnerabilities across machines,
connected devices, and web applications allows Delve to deliver a significantly more meaningful risk score for each vulnerability, one that accounts for each vulnerability’s unique circumstances, surrounding environment, and operational context.

Automated, Configuration-Free Approach to VM

Existing VM products require substantial upfront configuration, as well as ongoing manual intervention. Since its founding, Delve’s corporate objective has been the automation of as much of the VM process as possible, providing customers substantial TCO savings in time and resources. Some examples of how Delve is removing the manual activity from traditional VM operations are included in the table below.

  Conventional VM Products Delve
Identification of Business-Critical Assets Manual Automated
Remediation-Centric Vulnerability Grouping Manual Automated
One-off Scan Templates for New Critical Vulnerabilities Manual Automated
Thorough Web Asset Discovery Manual Automated
Scan & Discovery Schedule Handling
(blackouts, failures, etc)
Manual Automated
Continuously Tracking the Connection Between Web and
Machine assets
Manual Automated


Self-Learning, ML-driven Performance Improvement

As a machine-learning (ML)-based platform, Delve is designed to improve its performance as it collects data. Further, as a SaaS platform, Delve can leverage data collected not just from Customer 1 for the benefit of Customer 1, but from all Delve customers using the product. So, Customer 1 benefits not only from the activities of Customer 1, but also from the activities of Customers 2, 3, 4...n.

Some examples of how the Delve platform self-improves vs traditional VM products’ fixed or static behavior are provided in the table below:

  Conventional VM Products Delve
Prioritizing Vulnerabilities in Context Not Available ML-Based Improvement Over Time
False Positive Prediction/Detection Manually Adjusted ML-Based Improvement Over Time
Identification of Outlier Assets Not Available ML-Based Improvement Over Time
Identifying Predicted Remediation Timeframe for Specific Vulnerabilities Manual ML-Based Improvement Over Time
Prediction of Short-Term Exploit Publication Partially Available ML-Based Improvement Over Time


Built-in, Meaningful Contextual Prioritization

Perhaps the most compelling element of Delve’s offering is its exclusive Contextual Prioritization. No other VM solution on the market delivers a prioritization capability that understands the asset’s operational context, accounts for the unique characteristics of the enterprise’s network, and yields a vulnerability risk score unique to each network...and even unique to the same vulnerability on different parts of the network. DelveAI™ leverages 3 dozen internal and external factors to yield a meaningful prioritized list of vulnerabilities, so your team knows what to fix first, and what can wait.

Delve’s Contextual Prioritization has been shown to reduce the number of critical vulnerabilities on some networks by a factor of 15. More importantly, however, Delve’s prioritization engine identifies seemingly low criticality vulnerabilities that are actually high priority, surfacing serious security issues that might otherwise be neglected.

An overview of the categories into which these 3 dozen factors fall is provided in the graphic below.

Contextual Prioritization:

Vulnerability Risk Scoring Unique to Your Business

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