Management Services
On demand webinars
Copilot, not autopilot: Building a defensible trust chain for AI testing across GRC and audit
Master the AI trust chain model to turn AI-assisted testing into defensible, audit-ready assurance across your organization.
Description
AI is no longer a future consideration for assurance functions. It is reshaping how monitoring, testing, and risk decisions are made today. As organizations rapidly deploy copilots, agents, and AI-enabled controls, the central question has shifted from whether to adopt AI to how to govern it, scale it responsibly, and demonstrate measurable value without eroding accountability.
This session introduces a practical AI trust chain model aligned to the three lines model, designed to address the growing tension between accelerating AI capabilities and the slower pace of enterprise assurance readiness. Attendees will explore how GRC can establish guardrails for AI usage, validation, and change management, while internal audit applies risk-based validation, selective reperformance, and documentation standards that allow AI-assisted testing to withstand regulatory and stakeholder scrutiny.
Rather than treating AI as a black box or bolting it onto legacy workflows, this webinar focuses on human-in-the-loop assurance, clear ownership, and evidence-based reliance. Participants will leave with a concrete framework for distinguishing AI-native assurance practices from superficial automation, enabling teams to move beyond pilots and into scalable, defensible use of AI across GRC and audit.
This session introduces a practical AI trust chain model aligned to the three lines model, designed to address the growing tension between accelerating AI capabilities and the slower pace of enterprise assurance readiness. Attendees will explore how GRC can establish guardrails for AI usage, validation, and change management, while internal audit applies risk-based validation, selective reperformance, and documentation standards that allow AI-assisted testing to withstand regulatory and stakeholder scrutiny.
Rather than treating AI as a black box or bolting it onto legacy workflows, this webinar focuses on human-in-the-loop assurance, clear ownership, and evidence-based reliance. Participants will leave with a concrete framework for distinguishing AI-native assurance practices from superficial automation, enabling teams to move beyond pilots and into scalable, defensible use of AI across GRC and audit.
About the speakers
Melissa Pici serves as the global Governance, Risk, and Compliance Director at Syniverse. In her role, she works with cross-functional teams, including finance, IT, GRC, and operations, aiding them in understanding the importance of a risk and controls-based foundation and the interconnectedness in everyday operations. Melissa manages and drives the annual SOC audits, as well as designs and executes risk-based operational audits, providing further insight to executive management in making decisions for the business. Melissa holds a bachelor’s and a master’s degree in Information Security and Assurance, in addition to studies in project management and data science.
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