Explore the delicate balance between leveraging AI's potential and managing its associated risks in enterprise settings. Industry leaders will share their experiences, insights, and strategies for successful AI integration.

-          Hear from industry experts about the strategies they've employed to mitigate risks and ensure responsible AI deployment.

-          Learn from real-world examples of successful AI implementations and the lessons learned from those that didn't quite succeed.

-          Understand how to strike a balance between AI-driven innovation and business opportunity, while minimizing potential risks and pitfalls.

WSP Deputy General Counsel, Chief AI Governance and Privacy Officer, Shoshana Rosenberg

Truist Head of AI/ML Use Cases & Development, Ken Cluff

As AI regulations evolve, staying ahead is essential. This session will provide insights into the emerging regulatory landscape and provide guidance for demonstrating compliance.

-           Discover the latest developments in international compliance to avoid legal pitfalls. 

-           Explore ways to streamline compliance, allowing for focus on innovation and growth. 

-           Strengthen your organization’s ability to anticipate and respond to regulatory shifts. 

Maintaining a robust governance framework is crucial to ensuring ethical, compliant, and efficient AI operations. This session will provide you with actionable insights and strategies to stay ahead in the dynamic landscape of AI governance.

-           Understand how to design and implement flexible governance structures that can adapt to the fast-paced advancements in AI technology. 

-           Dissect how AI governance fits into existing governance models without creating duplication or conflict. 

-           Explore the intersection of Nist’s AI Risk Management Framework and AI governance.

Citigroup VP and Lead AI Product Manager, Pratik Gupta 

Bayer Head of IT Security Risk and M&A IT Security, John Howie

As deepfake technology becomes increasingly sophisticated, organizations face growing risks to their security and reputation. This session will explore the technical and operational challenges posed by deepfakes, including their impact on biometric authentication, corporate fraud, and misinformation.

-           Gain insights into detection tools, preventative controls and risk mitigation strategies. 

-           Unlock actionable recommendations to strengthen cybersecurity measures, enhance employee awareness, and implement robust verification protocols to safeguard against deepfake threats.

FBI Scientific Working Group on AI, American Bar Association's (ABA) AI Task Force, and Association of Corporate Counsel’s (ACC) Cybersecurity Board, Brigadier General(ret.) Patrick Huston

As AI deployments become increasingly pervasive, it's essential to examine the ethical considerations that come with them. In this session, we'll delve into the importance of managing bias, transparency, and accountability in AI systems to maintain public trust.

-           Learn about the latest techniques for identifying and mitigating bias in AI algorithms, so you can develop more equitable and fair solutions for all users. 

-           Hear about best practices for increasing AI transparency, enabling you to build trust with stakeholders and comply with emerging regulations. 

-           Understand why accountability is crucial in AI deployments, empowering you to create robust governance frameworks that protect your organization and its users.

Schneider Electric Head of AI Strategy & Innovation, Jurgen Weichenberger

BlackRock Global Head of AI and Data Science, Portfolio Analytics Group, Amit Panalkar

With geopolitical uncertainties disrupting supply chain security and AI revolutionizing software-as-a-service (SaaS), the exposure to material risks has increased significantly. In this evolving landscape, understanding and managing third-party risks is more crucial than ever.

-           Assess how geopolitical risks affect third-party vendors and supply chain security, requiring strong risk management for continuity.

-           Adapt risk management practices for AI-driven SaaS to address new tech vulnerabilities and data security challenges.

-           Manage increased material risks in third-party relationships to protect assets and reputation.

Broadridge VP, Global Head of Risk & Compliance, Keith Donnelly

Gain insights into effectively communicating the financial and strategic value of security and risk investments to your organization's leadership. This session will provide you with the techniques needed to translate complex security concepts into compelling business narratives that resonate with executives and board members.

-           Understand which metrics are most relevant to your board, allowing you to present data that not only informs but also drives strategic decision-making, enhancing organizational resilience. 

-           Discover strategies for simplifying complex security concepts into clear, concise terms that garner executive buy-in and support for critical initiatives. 

-           Explore real-world examples about how breaches impact share price, revenue, and brand reputation, while uncovering how robust cybersecurity practices build stakeholder trust.

Sunzay Passari – Head of Digital Innovation & Transformation, UPS

Stay ahead of the rapidly evolving AI-powered cyber threat landscape. As AI technologies continue to advance, so do the tactics of cybercriminals and state-sponsored actors, making it crucial to understand the latest attack vectors and AI-driven techniques used in the cyber kill chain.

-          Explore new AI-driven attack vectors to improve threat detection and response.

-          Learn about the various ways AI is being used in the cyber kill chain, from initial reconnaissance to post-exploitation.

-          Investigate the underlying motivations and strategies employed by AI-enabled cybercriminals and state-sponsored actors to enhance threat predictability and improve countermeasures.

In today's digital world, businesses must innovate rapidly to stay competitive, but this agility can increase security risks. In this session, we'll explore the delicate balance between being a business enabler while maintaining enterprise-wide security.

-           Learn from industry leaders who have effectively merged security with business enablement, offering you actionable examples and tested strategies to implement within your organization. 

-           Explore the benefits of anticipating security challenges and embedding them into your business strategy, reducing the financial impact of breaches, and ensuring seamless operations. 

-           Uncover the latest tools and approaches designed to bolster your organization's security framework while aligning with business goals, empowering you to innovate confidently without elevating material risk.

Costco Wholesale Enterprise Cyber Security Strategist & Architect, Dr. Rudra Murthy

The integration of AI into business processes necessitates a forward-thinking approach to incident response and disaster recovery. Discover how to safeguard your intellectual property and maintain operational resilience in an AI-driven landscape.

-          Examine the practicality of issuing DMCA takedown notices in collaboration with AI providers to prevent unauthorized use of proprietary content in AI models. 

-          Assess the feasibility of insurance coverage to protect against the loss of IP when proprietary information is incorporated into AI models. 

-          Explore best practices for rapidly restoring AI models, including backup strategies and the ability to retrain using replayed transactions. 

-          Analyse how AI models adapt when retrained with new data and the complexities of certifying models that cannot be exactly reproduced.

Bayer Head of IT Security and M&A IT Security, John Howie