Under Attack?
Artificial intelligence is transforming how organisations operate, innovate and compete. However, as AI adoption accelerates, many organisations are facing growing challenges around governance, risk management, compliance, data protection and accountability.
In this on-demand webinar, AI governance and GRC experts from Integrity360 explore the practical steps organisations can take to govern AI effectively, reduce risk, and align with emerging regulatory requirements such as the EU AI Act. Drawing on industry best practices and recognised frameworks including NIST AI Risk Management Framework (AI RMF) and ISO 42001, the session provides a clear roadmap for building an AI governance programme that enables innovation while maintaining control.
Whether your organisation is just beginning its AI governance journey or looking to strengthen existing controls, this webinar offers actionable guidance, practical recommendations and quick wins that can be implemented immediately
What you will learn:
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How to establish an effective AI governance programme
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The key principles of trustworthy and responsible AI
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How to identify and manage AI-related risks
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Best practices for controlling shadow AI and unauthorised AI usage
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How to build and maintain an AI inventory
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The role of AI literacy and employee awareness in reducing risk
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How the EU AI Act affects organisations using AI
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Practical guidance on aligning with NIST AI RMF and ISO 42001
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Steps to improve visibility, accountability and oversight of AI systems
Key topics covered
AI governance frameworks and operating models
Learn how organisations can create a structured approach to AI governance, establish accountability, and implement effective oversight across the business.
AI risk management and trustworthy AI
Explore the principles of trustworthy AI, including transparency, security, privacy, explainability, fairness and resilience.
AI inventory, discovery and visibility
Understand why visibility is the foundation of successful AI governance and how to identify AI systems and AI-enabled processes across your organisation.
Shadow AI, data protection and third-party risk
Discover how to reduce the risks associated with unsanctioned AI tools, data exposure and AI-enabled suppliers.
AI compliance, regulation and AI literacy
Learn how organisations can prepare for evolving AI regulations and build the AI literacy needed to support safe and compliant adoption.
Who should watch?
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CISOs and security leaders
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CIOs and technology executives
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Governance, Risk and Compliance (GRC) professionals
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Risk managers
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Compliance and legal teams
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Data protection officers
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IT leaders and architects
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Business leaders responsible for AI adoption and innovation
Why AI governance matters
AI adoption is now widespread across organisations, but governance maturity often lags behind implementation. Without appropriate controls, businesses can face risks related to data privacy, regulatory compliance, third-party usage, model reliability and employee misuse.
A robust AI governance framework helps organisations balance innovation with accountability, enabling teams to harness the benefits of AI while maintaining trust, security and compliance.
