To secure AI, you must first understand it. Enterprise adoption of Generative AI happens organically, with employees using ChatGPT, Claude, and Gemini across various business functions. AI Activity Monitoring gives security teams and business leaders visibility into which tools are being used, how often they are accessed, and what value they deliver.
TryAIDR provides comprehensive telemetry on AI usage across the enterprise without slowing down user workflows.
The Blind Spots in AI Telemetry
Most organizations have no clear view of their AI footprint:
- Unapproved Tools (Shadow AI): Employees signing up for niche AI tools that security has not vetted or approved.
- Underutilized Subscriptions: Paying for expensive enterprise AI licenses that employees do not actively use.
- Lack of Productivity Metrics: Difficulty measuring where AI is actually saving time versus where it is introducing security risks.
Rich Insights with TryAIDR Activity Monitoring
TryAIDR offers granular monitoring that benefits both security and business operations:
- Adoption Dashboard: View aggregate statistics on total AI sessions, tokens processed, and tool popularity across departments.
- Department Breakdown: Identify which business units (e.g., Engineering, Marketing, Customer Support) are using which models.
- Security Correlation: Track how user activity trends relate to policy triggers and blocked data leak attempts.
AI Session Telemetry Event
TryAIDR collects structured metadata to populate usage charts while protecting employee privacy:
json
{
"session_id": "sess-449a8",
"department": "Engineering",
"target_tool": "GitHub Copilot",
"session_duration_sec": 1820,
"tokens_processed": 14200,
"policy_violations_count": 0
}