AI Adoption in Cybersecurity Hits Trust Ceiling: Seemplicity Report

  • 88% of enterprises use AI for security, but only 31% trust its recommendations.
  • 59% of organizations rely on manual negotiations to assign remediation owners.
  • 43% of leaders admit their remediation processes are still 'ad hoc.'
  • Report based on survey of 300 U.S.-based cybersecurity leaders in January 2026.

AI has saturated cybersecurity tooling, but its role remains limited by caution toward automated decision-making. The 'coordination tax' is stalling remediation efforts, creating a widening execution gap as organizations struggle to keep up with AI-generated attacks and discoveries. This trend highlights the broader industry challenge of balancing AI adoption with operational trust.

Trust Dynamics
How the pace of AI trust development will affect operational efficiency in cybersecurity.
Execution Risk
Whether organizations can sustain current remediation backlogs without automated decision-making.
Process Standardization
The pace at which enterprises formalize exposure management workflows to bridge the business-to-technical gap.