Webinar Description
Key Takeaways
- Focuses on explainable and auditable AI within Governance, Risk, and Compliance programs
- Demonstrates how AI agents can operate across the full GRC lifecycle while maintaining transparency
- Introduces no-code customization capabilities for tailoring AI agent behavior
- Provides a vendor evaluation checklist for organizations assessing AI solutions
- Designed for GRC professionals, auditors, risk managers, and compliance officers in regulated industries
About the Event
This webinar from LogicGate examines how organizations can deploy AI within GRC programs without sacrificing the transparency that auditors and regulators require. The session centers on a practical demonstration of Risk Cloud GRC Agents, showing how these tools provide clear reasoning for their actions throughout the compliance lifecycle, from initial assessment through to resolution.
Explainability and Audit Requirements
A central theme of the webinar is the distinction between audit trails and true explainability in AI systems. While audit trails record what an AI system did, explainability addresses why decisions were made. For organizations operating in regulated environments, this distinction matters when demonstrating compliance to auditors who need to understand the rationale behind AI-driven outcomes, not just the results.
No-Code Customization with Agent Studio
The session introduces Agent Studio, a no-code tool designed to let GRC teams customize AI agent behavior without requiring technical expertise. This approach addresses a common barrier to AI adoption: the need for specialized development resources to tailor automated systems to specific organizational requirements and risk frameworks.
Who Should Attend
The webinar targets GRC professionals, internal auditors, risk managers, compliance officers, and IT security leaders. Organizations in regulated industries such as financial services, insurance, healthcare, manufacturing, and technology will find the content particularly relevant. The session also includes a checklist of questions to ask AI vendors before adoption, useful for teams currently evaluating solutions.