Data shows 86% of cybersecurity teams are using AI, with vulnerability and risk management emerging as the top use case, in Seemplicity-sponsored research from Dark Reading
Seemplicity today released The Rise of AI-Powered Vulnerability Management, a new Dark Reading research report that surveyed cybersecurity and IT management professionals in North America. The report, sponsored by Seemplicity, explores how security teams are leveraging artificial intelligence (AI) to streamline operations, reduce manual workloads, and improve risk management in an era of expanding attack surfaces.
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The findings are clear: AI adoption in cybersecurity is widespread, with 86% of security teams now using AI in their security stacks. Yet, the report finds that while AI’s potential is vast, there is still work to be done to unlock its full power. Security teams are optimistic about AI’s benefits in areas like vulnerability prioritization and risk management, but concerns regarding overhyped vendor claims, lack of skilled personnel and false positives continue to slow adoption. As AI capabilities evolve, organizations will need to balance automation with human oversight and ensure that AI-driven security tools deliver tangible benefits, rather than additional complexity.
Key findings from the report include:
- AI is mission-critical – 56% of security teams say AI is now crucial to their daily operations.
- Vulnerability prioritization is a top challenge – 82% of organizations believe AI can help solve the problem of disparate results from scanning tools.
- False positives continue to plague teams – 49% of organizations are actively using AI to address this issue, but many security leaders still struggle with AI-driven inaccuracies.
- Talent shortages slow adoption – 55% of organizations cite workforce shortages as the biggest barrier to effective AI implementation in cybersecurity.
- AI transparency is a growing concern – 55% of organizations have disabled AI functionality due to concerns over accuracy and explainability.
The report’s findings underscore a major shift in AI’s role—moving beyond basic detection and automation to directly improving security teams’ ability to prioritize and mitigate risks more effectively in an increasingly complex landscape.
“What stood out to me from this research is that a significant majority of cybersecurity professionals see real potential in AI to help cut through massive data overload and unify disparate signals,” said Ravid Circus, Co-Founder & Chief Product Officer of Seemplicity. “That’s encouraging—not just because it highlights AI’s maturing capabilities, but also because it points to a future where security teams can work smarter, not harder. By leveraging more intelligent, automated workflows, we’re on the cusp of an era where vulnerability and exposure management truly becomes a streamlined, proactive discipline.”
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Ultimately, for organizations looking to maximize AI’s impact, the report recommends careful vendor evaluation, strategic AI implementation in vulnerability management workflows, and investing in internal AI expertise to bridge the knowledge gap.
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