What impact does AI have on your organization?

The impact of AI on vulnerability management has been substantial as the industry increasingly integrates AI into its practices. Traditional methods of vulnerability management, involving scanning, report generation, and remediation, are being supplanted by AI-driven solutions.

AI has been well-received in cybersecurity, where many vulnerabilities from diverse sources and scanners can be overwhelming. Previously, managing these vulnerabilities often led to internal tensions and conflicts within teams and with upper management.

AI’s value to vulnerability management lies in its capacity to process the influx of vulnerabilities and filter out non-relevant ones with remarkable efficiency. By evaluating vulnerabilities based on factors such as business criticality, network exposure, and data classification of the affected asset, AI facilitates the focus on the most critical vulnerabilities for remediation, saving significant time and resources.

Automation is another crucial aspect of AI in vulnerability management. For instance, AI can create tickets for specific teams in response to critical vulnerabilities causing compliance failures and convey notifications via platforms like WhatsApp.

Additionally, AI provides comprehensive reporting on remediation efforts, infection rates, and mean time to resolution (MTTR) and identifies teams with insufficient remediation efforts, aspects highly valued by management.

The effect of AI on our organization has been notable. It has streamlined vulnerability management processes and automated previously time-consuming tasks. Moreover, it has provided valuable insights for informed decision-making, marking a significant shift in our approach to vulnerability management.

What impact does AI have on your organization?