CISO Institute: USA

- Discuss the current state of AI technology and the core AI technologies driving innovation
- How can AI enhance decision-making processes in businesses? What tasks and processes are being automated by AI and how is this affecting workforce dynamics?
- What are the ethical dilemmas posed by AI, including bias, privacy and accountability? And how are organisations addressing these challenges?
- How AI combined with human judgement can outperform humans working alone, and what that means for jobs
- Beyond LLMs: How specialized AI tools are affecting regulated industries

In the realm of Artificial Intelligence, the saying "garbage in, garbage out" holds true now more than ever. AI systems are only as intelligent as the data they're trained on. Poor quality data can result in faulty models, unreliable predictions, and suboptimal decisions. Attendees will learn actionable strategies for data preparation, curation, and governance that are critical to optimizing AI outputs and driving business outcomes. Real-life examples will showcase the transformative impact of AI when paired with high-quality data.

• Understand the key regulations affecting different industries including recent changes in regulatory requirements and their implications
• Explore the responsibility of business leaders in ensuring regulatory compliance and how they are integrating this into corporate strategy and culture
• Discuss emerging trends and future developments in regulatory compliance and their potential impact on business operations

• The importance of defining and communicating a compelling vision for the organisation, aligning the team's goals and actions with the broader business objectives
• Strategies for recruiting and retaining top talent and fostering a culture of collaboration, trust and accountability
• Explore strategies for leading teams through organisational change, building resilience and agility in the face of uncertainty

• Finding the sweet spot between AI-driven customer service and human interaction
• Chatbot with seamless agent escalation
• Chatbot with human-like conversation
• Training and upskilling customer support teams to work alongside AI tools that will not only handle +90% inquiries, but empower live agents with quick answers at their fingertips

Identity continues to be the most common initial attack vector in most data breaches with
phishing and stolen/compromised credentials the 2 top initial attack vectors.

• Organizations must adopt a Zero Trust approach with no implicit trust, minimal privilege, and entitlement.
• That’s why an identity-centric security approach is essential to make Zero Trust work. Identity-centric security requires a high-degree of confidence in the identity of the person, device, machine seeking to connect, access, and transact.
• In addition to certificate-based multifactor authentication, IAM, PAM, cloud security posture management, protecting keys and secrets, the next generation of security requires the ability to quickly and accurately verify identity in an all-digital context. And - AI-driven biometrics are increasingly becoming foundational capabilities.

As AI becomes more prevalent, communication between API endpoints is expanding rapidly. The current API economy is just the tip of the iceberg compared to what lies ahead in an AI-driven future. In this landscape, APIs are crucial for enabling AI integration and readiness, fundamentally transforming application development.

Discover techniques for strategic AI implementation, responsible automation, and effective API management to establish an AI-ready enterprise. Whether you’re an API developer, AI practitioner, or business stakeholder, this talk will provide insights for effective AI orchestration and turning AI readiness into a competitive advantage.

Key Takeaways:
- Practical methods to enhance AI integration with APIs
- Using AI ethically with APIs
- Insights on achieving AI readiness and avoiding pitfall

• Explore the importance of Data Governance in organisations and it's role in ensuring data quality, integrity and security
• Discuss key components of Data Governance including the establishment of rules and guidelines for data usage, assigning responsibility of data management and organising and making data accesible across the business
• Strategies such as cross functional collaboration and clear communication to overcome common obstacles such as data silos, inconsistent data quality and loack of stakeholder buy in

• Analyse strategies to control and optimise cloud expenses, considering factors like resource provisioning, scaling and reserved instances
• Discuss techniques for improving the productivity of cloud-based systems, adopting proactive strategies to optimise cost without compromising performance
• Explore the challenges of navigating excessive options in the market, which make decision-making a complex task as you strive to align cloud products with your unique organisational needs, performance requirements and long-term scalability goals
• Effect of transfer of your own data on cost

Learning is evolving rapidly as we quickly approach 2025. To grasp the biggest trends and changes affecting L&D leaders today, QA gathered and consolidated insights from them regarding the current and future state of learning. In this session, you’ll gain access to these insights, as well as predictions, warnings, challenges, and outcomes for CLOs. Join this session to discuss:

• Responding to AI as it reshapes every aspect of L&D
• The current and future shortcomings of learning delivery in the workplace and how to fix them through novel implementation strategies
• Crucial data points regarding the current and future state of L&D, and how to move forward

Learn how to leverage Legal AI to:

- Quickly assess breach impact by understanding obligations across thousands of contracts
- Identify, understand and extract obligations that relate to notifications, parties, dates and other key clauses
- Streamline incident response to protect company reputation and customer relationships

Discover how Legal AI can harness the power of your contracts data to transform your incident response strategy and enable you to ensure compliance with regulations.

• Assessing how robotics and AI align with overall business goals and identifying key areas where robotics and AI can provide the most value
• Evaluating different AI and robotic technologies based on different organisational needs whilst balancing innovation and practicality
• Designing workflows that integrate robotics and AI with human workers, ensuring a safe and productive interaction between humans and machines

• - The importance of building a robust data governance framework, ensuring compliance with regulations and establishing clear data ownership and accountability across the organisation
  - Discuss processes to ensure consistent data quality, accuracy and accessibility and how to implement regular data cleansing and validation procedures
  - Improving the use of data analytics to support strategic decision making and explore the key metrics and KPIs that need to be tracked to better align data with business goals
  - What upcoming technologies could transform your data management approach

• Explore the steps involved in an effective ransomware incident response and the importance of a dedicated incident response teams and pre-established communication plans
• Understanding the ethical and practical considerations of paying ransoms, including the potential risks and implications for the organisation and the broader communities
• The importance of identifying critical assets and systems vulnerable to ransomware and assessing the potential impact of attacks on the organisation
• Discuss the cybersecurity protocols and solution to achieve Ransomware Resiliency

As AI continues to transform industries, building trust and transparency is paramount. This boardroom talk will explore how AI observability can drive responsible innovation while ensuring governance, risk management, and compliance.

We'll discuss the growing importance of:

- AI alignment to organizational values
- Strategies for mitigating risks in LLM and ML deployments
- How AI observability sheds light on audit evidence and helps meet compliance standards

• Building a comprehensive data management strategy that includes data governance, metadata management, and data lineage
• Leveraging AI and machine learning to automate and streamline data management processes
• Creating a data platform that supports multi-cloud and hybrid environments
• Implementing cost-effective storage solutions that balance performance and cost

Artificial Intelligence (AI) is transforming different domains and sectors by enabling new capabilities, enhancing efficiency and productivity, and creating new value and opportunities. AI is also transforming the field of cybersecurity, offering new possibilities and challenges for both defenders and attackers. AI can be used to improve the security and resilience of information systems, counter cyberattacks, and also to launch sophisticated cyberattacks. AI is also introducing new vulnerabilities and risks, and raising new ethical, legal, and social issues for cybersecurity. This round table would discuss the double-edged impact of AI on cybersecurity by posing questions like: How could AI technologies transform cybersecurity measures?

• How are cybercriminals leveraging AI to improve their attack strategies?
• What are the ethical and practical challenges associated with AI in cybersecurity?
• How the rapid deployments of AI technologies in different sectors and organizations are escalating cyber risks?
• How do we compare the risks and rewards of AI in cybersecurity and make recommendations for the path forward?

This engaging session will delve into the strategies and best practices necessary to create a risk assessment to identify deficiencies and gaps at all levels across the organization. Gain insights from Stacey Romanello, risk assessment and information security expert, on how she enhances risk and control frameworks, and improves organizations system resilience, ensuring regulatory compliance.

During this discussion you will learn more about:

Implementing robust risk assessment processes to ensure identify and mitigate cyber threats.
Navigating increasingly complex compliance regulations.
The importance of key reporting metrics in effective security strategies.

• This session explores the complexities and challenges of global digital and AI transformation, highlighting the importance of strategic alignment, technology selection, and continuous innovation in navigating the intricacies of a diverse global landscape.