For security leaders, AI has created a new governance challenge. The question is no longer just where data goes. It's whether your team can see what is being entered into AI tools, understand the context, and enforce policy before sensitive data is exposed. That is the focus of the upcoming live webinar, Can Your DLP Do This? We'll show how organizations can move beyond coarse blocking to a more effective approach for governing employee AI use and agent activity. April 21 | 9:00 AM PT / 12:00 PM ET ✅ Register here: https://lnkd.in/e37TVmkM #AIAtWork #AISecurity #AIGovernance The Cyber Security Hub™’s Post More from this author Explore content categories - Career - Productivity - Finance - Soft Skills & Emotional Intelligence - Project Management - Education - Technology - Leadership - Ecommerce - User Experience - Recruitment & HR - Customer Experience - Real Estate - Marketing - Sales - Retail & Merchandising - Science - Supply Chain Management - Future Of Work - Consulting - Writing - Economics - Artificial Intelligence - Employee Experience - Workplace Trends - Fundraising - Networking - Corporate Social Responsibility - Negotiation - Communication - Engineering - Hospitality & Tourism - Business Strategy - Change Management - Organizational Culture - Design - Innovation - Event Planning - Training & Development This is a really important shift — governance is moving closer to the point of input, not just output. But it raises a bigger question: how much visibility do we actually have over what becomes discoverable in the first place? If discovery itself is shaped by optimisation and bias, then governance is always working downstream of that. There may be a missing layer here before data even reaches AI systems.