Webinar Description
Key Takeaways
- Practical guidance on mapping AI assets across enterprise environments to meet EU AI Act requirements
- Strategies for identifying shadow AI and unsanctioned tools that create compliance blind spots
- Framework for generating audit-ready evidence to demonstrate regulatory compliance
- Designed for CISOs, compliance officers, data protection officers and IT leaders in regulated industries
- Eligible for CPE credits
Navigating AI Compliance as Regulatory Deadlines Approach
Built, Deployed, Compliant: How to Map Your AI and Avoid Regulatory Fines is a virtual webinar addressing one of the most pressing challenges facing enterprise organisations in 2026: achieving demonstrable compliance with AI regulations. As the EU AI Act enforcement deadlines take effect and similar frameworks emerge globally, organisations face mounting pressure to maintain comprehensive visibility over their AI deployments. This session brings together perspectives from Varonis and ACT AI NOW to provide security and compliance professionals with actionable approaches to AI governance.
The Shadow AI Problem in Enterprise Environments
One of the central challenges the webinar addresses is the proliferation of shadow AI within organisations. Unlike traditional software deployments that typically flow through procurement and IT approval processes, AI tools have increasingly entered enterprise environments through informal channels. Employees may adopt AI-powered productivity tools, browser extensions or cloud services without security team awareness, creating significant blind spots in compliance programmes.
This lack of visibility becomes particularly problematic under the EU AI Act’s risk-based classification system. Organisations must not only identify AI systems in use but also assess whether any fall into high-risk categories requiring enhanced documentation, human oversight and conformity assessments. When AI tools operate outside official inventories, organisations cannot accurately evaluate their regulatory exposure or implement appropriate controls.
Building a Comprehensive AI Asset Discovery Framework
The webinar presents a structured approach to discovering AI across three distinct categories: sanctioned deployments that have received formal approval, custom-built AI systems developed internally, and shadow AI operating without organisational oversight. Each category presents different discovery challenges and risk profiles.
Sanctioned tools such as Microsoft 365 Copilot may be well-documented but still require ongoing monitoring to ensure usage remains within approved parameters. Custom-built systems demand particular attention to training data provenance and model behaviour documentation. Shadow AI requires network-level detection capabilities and integration with data security platforms to identify unauthorised AI interactions with sensitive information.
Data Security as the Foundation of AI Compliance
A recurring theme throughout the session is the interdependence between data security infrastructure and AI compliance capabilities. Effective AI governance relies heavily on understanding what data AI systems can access, how that data is classified, and whether appropriate access controls exist. Organisations with mature data discovery and classification programmes find themselves better positioned to assess AI risk because they already understand their sensitive data landscape.
This connection proves especially relevant for regulated industries such as financial services, healthcare and government, where data protection requirements intersect with emerging AI obligations. Compliance teams must demonstrate not only that AI systems are properly inventoried but that they interact appropriately with protected data categories.
Generating Evidence for Regulatory Audits
Beyond discovery and risk assessment, the webinar addresses the practical challenge of producing documentation that satisfies regulatory scrutiny. The EU AI Act requires deployers of high-risk AI systems to maintain records of system operation, monitor performance, and report serious incidents. Organisations need systematic approaches to evidence generation rather than ad-hoc documentation efforts when audits arise.
Who Should Attend
This webinar is designed for professionals responsible for AI governance, data protection and regulatory compliance within medium to large organisations. CISOs and security leaders will find value in the technical approaches to AI discovery, while compliance officers and data protection officers can apply the framework to their audit preparation processes. The session includes a live question-and-answer segment, allowing attendees to address organisation-specific compliance scenarios directly with the presenters.