Behavioral security has become a core security discipline. Broad adoption has exposed a harder challenge: defining normal precisely enough to separate meaningful risk from noise, and extending that understanding to machine identities and AI agents that make their own decisions.
Asked where their greatest behavioral-monitoring investment will go over the next 24 months, 43% of security leaders chose AI agents—more than three times any other category. Nearly as many, 46%, say they are not at all effective at baselining agent behavior today.
Inside:
- Behavioral Security Has Gone Mainstream — Adoption is settled; precision is not.
- The Knowing-Normal Gap — The leading obstacles aren’t budget or staffing.
- The Understand-to-Act Gap — Detecting an anomaly is just the beginning.
- The Machine Identity Confidence Paradox — Confidence runs highest where coverage runs thinnest.
- The AI Agent Investment Paradox — The spending is decided ahead of the baselines.
Download the brief to see the data behind these findings.
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