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AI Drives 40% Rise in IT Exposures, 67M Annual Findings


AI Drives 40% Rise in IT Exposures, 67M Annual Findings
  • by: Source Logo
  • |
  • February 12, 2026

Seemplicity today released its 2026 Exposure Action Report, analyzing data from 40 of the world’s largest corporations with a combined $708 billion in annual revenue. The study highlights a dramatic escalation in detected security risks driven by widespread AI adoption and expanded scanning coverage, while exposing a critical execution gap: teams can identify far more vulnerabilities than they can realistically remediate.

Quick Intel

  • Enterprises now average 67.3 million security findings per year across an average of seven scanning tools.
  • Exposure volume increased nearly 40% year-over-year, with familiar risks like cloud misconfigurations, container privilege issues, and known CVEs dominating.
  • AI adoption in exposure management rose from single-digit percentages to over 50% in 2025, becoming embedded in daily workflows.
  • Top challenge: execution at scale—detection outpaces remediation capacity, shifting focus from visibility to prioritization and action.
  • AI is emerging as a key enabler, adding context, reducing noise, and helping teams focus on high-impact fixes with greater confidence.
  • Maturity in exposure management is now defined by remediation outcomes, clear ownership, repeatable workflows, and AI-assisted decision-making.

The Scale of the Exposure Challenge

The report underscores that security teams are not suffering from a lack of visibility—they are overwhelmed by the sheer volume of data generated by continuous scanning and broader coverage. With an average of seven security tools in use, large organizations process 67.3 million findings annually, creating a remediation backlog that traditional workflows cannot address effectively.

“At this level of scale, the problem isn’t a lack of data. It’s making sense of it fast enough to act,” said Daniel “Bogo” Bogomolny, principal exposure management specialist for Seemplicity. “Security teams aren’t overwhelmed because they don’t know what their risks are. They’re overwhelmed because execution doesn’t scale as fast as detection. Exposure management success today is defined by how efficiently teams can prioritize and remediate, not by how many findings they generate.”

AI Adoption Fuels Detection Surge

AI’s rapid integration into cybersecurity operations has accelerated exposure discovery. In 2025, more than half of organizations using the Seemplicity platform activated AI-powered features, up from single-digit adoption earlier in the year. This shift has made AI a core component of exposure management, helping teams interpret massive datasets, augment human judgment, and act more decisively.

AI capabilities are now routinely used to add business context, cut through alert noise, and prioritize fixes that deliver meaningful risk reduction—addressing the core execution bottleneck at scale.

Moving from Detection to Actionable Outcomes

The report concludes that exposure management maturity is no longer measured by the number of findings generated, but by the ability to operationalize remediation. Organizations succeeding at scale implement clear ownership, standardized workflows, and AI-assisted prioritization to close the gap between detection and remediation.

Seemplicity positions its agentic Exposure Action Platform to help security teams turn overwhelming volumes of findings into clear, accountable tasks—reducing exposure faster, with less effort, and greater confidence.

About Seemplicity

Security teams don't struggle with detection. They struggle with action. Seemplicity is your agentic Exposure Action Platform™ that closes the gap between findings and fixing. Our AI agents are the first to proactively analyze business risk while applying automation to the aggregation, prioritization and remediation of exposure management. Only Seemplicity turns the overwhelming into clear, accountable tasks so you can reduce your exposure faster, with less effort and greater confidence.

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