CultureAI

AI Usage Visibility
Behaviour-Based Risk Detection

• Uses NLP to inspect prompts and detect risky or sensitive interactions with AI tools.
• Builds behavioural baselines to identify anomalies or unusual activity.
• Generates risk scoring by user, AI tool, and data type.

• Applies flexible guardrails beyond simple “allow or block” controls.
• Supports role-based policies (e.g., finance vs engineering teams).
• Enables soft warnings, hard blocks, or exception handling.
• Maps policies to frameworks such as the EU AI Act and NIST AI Risk Management Framework.

• Provides inline prompts and nudges before risky actions occur.
• Educates users on secure AI usage in the moment.
• Tracks behavioural improvements over time.

• Avoids intrusive monitoring techniques such as keylogging.
• Uses encryption, role-based access, and configurable logging.
• Designed for regulated industries and compliance frameworks.

• Provides dashboards for security leaders and compliance teams.
• Generates AI usage audit logs and evidence trails for regulators.
• Tracks behaviour change and program effectiveness metrics.

• Provides visibility into how AI tools are being used across sanctioned platforms, embedded SaaS AI features, and shadow AI tools.
• Tracks prompts, files, and account types used with AI services.
• Integrates with SIEM, IAM, and device telemetry for unified security visibility.

• Visibility into AI Usage
  Security teams gain insight into how employees are using AI tools, including shadow AI and personal accounts.
• Reduced Data Leakage Risk
  Prompt-level inspection and behavioural analysis help prevent sensitive information from being shared with AI systems.
• Secure AI Adoption
  Organisations can enable innovation with AI while maintaining control and governance.
• Behavioural Security Improvement
  Real-time coaching helps employees learn safer behaviours rather than simply blocking activity.
• Regulatory and Compliance Readiness
  Built-in reporting and policy frameworks help organisations demonstrate control over AI risks for regulations such as the EU AI Act.
• Privacy-Respecting Monitoring
  The platform balances security oversight with employee privacy through a privacy-first design approach.