The top five vulnerability management problems they’re actively trying to solve with AI today were: false positives (49%), overload of data (39%), reliance on manual processes (33%), disparate results from scanning tools (31%), and false negatives (31%)
The top five vulnerability management problems they’re actively trying to solve with AI today were: false positives (49%), overload of data (39%), reliance on manual processes (33%), disparate results from scanning tools (31%), and false negatives (31%) — This cybersecurity statistic was published by Seemplicity in March 2025. It covers topics including AI, AI for Vulnerability Management, False Positives, Data Overload, Manual Processes. The original data appears in The Rise of AI-Powered Vulnerability Management. For the full methodology and detailed findings, refer to the original report.
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What does this statistic say?
The top five vulnerability management problems they’re actively trying to solve with AI today were: false positives (49%), overload of data (39%), reliance on manual processes (33%), disparate results from scanning tools (31%), and false negatives (31%) This data was published by Seemplicity and covers AI, AI for Vulnerability Management, False Positives, Data Overload, Manual Processes.
Where does this data come from?
This statistic comes from The Rise of AI-Powered Vulnerability Management, published by Seemplicity on March 1, 2025. You can view the original report at https://seemplicity.io/papers/darkreading-the-rise-of-ai-powered-vulnerability-management/.
What cybersecurity topics does this cover?
This statistic relates to AI, AI for Vulnerability Management, False Positives, Data Overload, Manual Processes. Browse more statistics on AI or from Seemplicity.