AI Behavior Suite

Understand AI Adoption and Improve Security Behavior

See how employees and AI agents use AI, measure adoption maturity, and guide safer behavior to maximize productivity and reduce risk.

Understand Human and Agent AI Activity

Leaders lack visibility into which teams use AI effectively.
Security teams need behavioral context, not just blocked events.
Delayed training does not change risky AI behavior in the moment.
Inside the suite

Measure AI Adoption and Progress

01 Adoption Intelligence Understand how AI is used across the organization.
02 AI Security Behavior Management Detect risky AI Behavior
03 Human & Agent Behavior Visibility See how employees and AI agents interact
04 Progress Reporting Provide usage and improvement reports
05 Activity-Based Training Triggers Deliver training based on real AI

Adoption Intelligence

Track dashboards, usage trends, intent classification, and benchmarking to understand how AI is used across the organization.

AI Security Behavior Management

Detect risky AI Behavior and deliver policy guidance with in-context training.

Human & Agent Behavior Visibility

See how employees and AI agents interact with tools, prompts, services, and connected systems.

Progress Reporting

Provide usage and improvement reports for employees, managers, departments, and governance teams.

Activity-Based Training Triggers

Deliver training based on real AI activity instead of generic annual awareness campaigns.

AI Behavior & Adoption Intelligence Outcomes

AI Behavior & Adoption Intelligence Benefits

Guide Safer AI Use

ObserveGuideImprove
One governed layer that grows with your AI footprint — instead of a patchwork of point tools.a
Visibility
Control
Compliance
Governance

AI training

Turn AI training into measurable Behavior change.

Identify Teams

Identify teams that need enablement and teams that can be used as champions.

AI-related risk

Reduce AI-related risk through contextual guidance and continuous reinforcement.

Improve productivity

Improve productivity by understanding real use cases and successful practices.

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Take control of AI usage before it scales beyond governance.

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