AI Security, Governance and Cost Control

This event is particularly topical because most companies lack visibility into their AI environment and are unable to answer basic questions such as: __Who is using AI and for what? What proprietary data is being exposed to AI? How can we reduce AI costs?__This Friday Briefing includes a demonstration of __Atlas AIDR__, which turns every AI session into an attributable record, screens every prompt for secrets, PII and injection, and enforces redaction and block rules in-flight.With this solution, you can:* __See what’s happening:__ Track AI usage by user and team, and discover the models, agents, tools and services being used.* __Protect sensitive information:__ Detect and redact personal information and secrets, screen for prompt injection, and enforce security policies in real time.* __Govern AI agents:__ Monitor the external tools and MCP servers used by AI agents, helping identify changes and potential risks.* __Understand and control costs:__ Track token usage and costs by user, team and model, with budgets, alerts and anomaly detection.The takeaway: A practical look at how you can make AI usage more visible, secure and accountable — while managing costs as adoption grows.