AI Adoption in Cybersecurity Hits Trust Ceiling: Seemplicity Report
Event summary
- 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.
The big picture
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.
What we're watching
- 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.
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