Cohort 1

Generative AI is eating the world. You need to master it while protecting your data, defending against attacks, and staying compliant.

Walter Haydock

CEO, StackAware

Securing AI powered transformation - managing risk & supercharging productivity

Be equipped to enable your organization to embrace the power of generative AI while managing risks along the way. Whether you're dealing with privacy issues, improper data use, or teams building their own generative AI capabilities, we're going to cover how to integrate generative AI into your risk management, governance, and threat models.

After this course you will

CISOs and GRC teams looking to empower and enable their organizations to innovate safely and securely.

Software development teams exploring ways to build and integrate AI-powered tools and bring their organizations into the future.

Professional services &amp; consulting teams who are looking to advise their clients on the risks and opportunities of generative AI.

Who is this course for

What you’ll get out of this course

Describe the benefits and risks of generative AI in a way that is unique to your organization's industry, goals, and people. Build on this risk assessment to enable your organization.

Enumerate and assess the risks and opportunities

Understand the regulatory and compliance implications of generative AI and how to incorporate it into third-party risk management&nbsp;programs.

Understand regulatory implications

Incorporate generative AI into your organization's policy and governance structure.

Develop an actionable data governance plan

Communicate effectively with executives, auditors, regulators, and other stakeholders about your threat model, risks, policies, and more.

Proactively communicate and engage

Information Security Manager, Toyota Finance Australia

Head of Product Management @ LimaCharlie, cybersecurity investor, and author of Venture in Security

CISO and Co-Founder @ Aquia, author of Software Transparency: Supply Chain Security in an Era of a Software-Driven Society

Vice President, Security and Infrastructure, Unusual Ventures

What people are saying

<ul><li>Data protection and privacy risks associated with AI</li><li>Case studies of data leakage via AI tools</li><li>Implications for compliance frameworks (NIST cybersecurity, privacy, and AI risk management frameworks, ISO 27001, GDPR, etc.)</li></ul>

Balancing risk and reward when using AI tools

<ul><li>Develop and implement an organizational policy</li><li>Map compliance framework controls</li><li>Integrate third-party risk management</li></ul>

Establishing Data Governance to Protect and Enable Generative AI

<ul><li>Learn best practices when it comes to data classification</li><li>Understand how your threat model changes with AI.</li><li>Explore how to apply technical controls to manage risk.</li><li>Explore methods for training employees</li></ul>

Protecting AI Data Flows

Course syllabus

Meet your instructor

10:00am-12pm Session 112-1pm: Lunch1-3pm: Session 23-3:15pm: Break3:15-5:15pm: Session 35:15-5:30: Graduation

Full day workshop

Create a real risk management deliverable, like a:<ul><li>Policy</li><li>Threat model</li><li>SOP revision</li></ul> Get 60 minutes of instructor review/consulting.

Final project

Course schedule

This course builds on live workshops and hands-on projects

Active hands-on learning

You’ll be interacting with other learners through breakout rooms and project teams

Interactive and project-based

Join a community of like-minded people who want to learn and grow alongside you

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About this course

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