Secure AI

AI adoption requires leadership decisions about strategy, risk, oversight, and accountability.  As organizations face increasing pressure to move quickly on AI initiatives, many leaders are being asked to make complex decisions without clear frameworks, guidance, or internal expertise.

The real question isn’t whether to adopt AI, it’s how to do it in a way that drives growth while managing risk.

This course is designed for business leaders and decision-makers responsible for determining how AI supports organizational priorities while implementing AI technologies through a strong security lens. Participants will learn how to assess the potential impact of AI-related threats across the business, including staff, customers, and organizational reputation, so they can make informed decisions without holding back high-value opportunities.

Participants will learn to design and champion a secure, responsible AI adoption roadmap aligned with their organization’s strategic goals, risk tolerance, and operational realities — one that supports both protection and performance.

By the end of the program, participants will have the tools to evaluate AI opportunities, understand the risks involved, and introduce the oversight structures needed to adopt AI responsibly while maximizing return.

Who this course is for

Senior leaders responsible for risk, compliance, strategy, or AI and/or technology adoption, including:

• Executives and senior leaders responsible for organizational strategy, risk, or technology adoption
• Chiefs of Staff supporting executive leadership
• Risk Officers and risk leaders
• Chief Operating Officers (COOs) and Director of Operations
• Heads or Directors of Technology, Digital Transformation, or Innovation
• General Counsel and legal professionals

What you’ll get

Participants leave with practical frameworks and artifacts they can apply immediately, including:

• A structured approach to aligning AI initiatives with organizational strategy, including a phased roadmap template to execute on it, designed to help you prioritize high-impact, high-value opportunities
• An actionable, ready-to-use framework to translate AI threats into meaningful organizational risks, with clear governance over who owns decisions, how risk is escalated, and how initiatives are approved and monitored
• Practical guidance on embedding security safeguards, managing regulatory obligations, and meeting compliance requirements from day one, without slowing down innovation.

Participants will also apply the course frameworks to a real or planned AI use case from their own organization, ensuring the program directly supports real strategic decisions and implementation planning.

Critically, participants leave with a clear AI adoption strategy tailored to their organization — a tangible, executive-ready output that can be put into action immediately.

The result is faster, more informed decision-making around AI adoption, while avoiding costly mistakes that can arise from implementing AI without understanding the risks, and ensuring investments in AI actually deliver business value.

Download Course Package

This course is designed for leaders responsible for implementing AI tools safely and consistently across teams. As organizations move quickly to adopt AI, operational leaders are often in the difficult position of enabling AI across the organization while also being accountable if something goes wrong, often without established frameworks, clear policies, or proven implementation paths to rely on.

Teams across the organization are already experimenting with AI tools, vendors are rapidly introducing AI-enabled features, and leadership expectations are accelerating. Participants gain practical tools to evaluate AI vendors, establish safeguards, and roll out AI capabilities while maintaining strong security and operational controls.

Who this is for

• IT Directors
• Directors of Operations
• Security leaders are responsible for implementation
• Others responsible for technical or operational implementation of AI

What you’ll get

Participants leave with practical frameworks and artifacts they can apply immediately, including:

• A practical framework for evaluating and vetting AI vendors
• A secure AI usage policy template adaptable to your organization
• Guidance on implementing guardrails and access controls for AI tools
• A rollout approach for consistent and secure AI adoption across teams