"Safeguarding Data in the AI Era: Leveraging Data Privacy, Provenance, and Lineage Strategies"

In the rapidly advancing field of artificial intelligence, protecting company and personal data has grown increasingly complex. "Safeguarding Data in the AI Era: Leveraging Data Privacy, Provenance, and Lineage Strategies" offers a robust session that arms organizations with essential strategies for navigating the heightened data risks associated with AI technologies. Data provenance ensures the authenticity and integrity of data by meticulously tracking its origin, modifications, and handling. Simultaneously, data lineage provides a clear map of the data's journey through different processes and transformations, bolstering transparency and accountability. This presentation tackles emerging risks such as unauthorized access, prompt injection, shadow AI, and other data risks arising from AI system uses. Attendees will learn about the critical roles of data provenance and lineage in organizations, gaining valuable insights on how to effectively safeguard data against the risks posed by AI, ensuring robust data security and governance.

Understanding Digital Assets: An Introduction to Cybersecurity and Data Privacy Concerns for Business

Digital Assets are a store of value that only exists in the digital world, like non-fungible tokens (NFTs),  self-executing smart contracts, cryptocurrency, etc. These emerging technological innovations bring unique benefits and risks that have Legal, Cybersecurity, and Data Privacy challenges, like proof of ownership, the value of assets, protection against theft or scams, lack of regulation, protection of data using the blockchain to transfer information, etc.  

This session will cover the various types of Digital Assets, their uses and applications, and the ethical considerations surrounding their creation and transfer. We will explore the legal, ethical, Cybersecurity, and Data Privacy risks of use and look at existing and emerging regulatory issues that may be implicated. 

"Web 3.0 and the Evolving Landscape of Cybersecurity and Data Privacy for Businesses"

Web 3.0 is often discussed but rarely explained!

Web 3.0, also known as the "Semantic Web," is the next generation of the Internet, in which data is more interconnected and machine-readable, enabling new capabilities such as decentralized computing, Digital Asset security, data protection by design, Artificial Intelligence, and the Internet of Things(IoT). This course will cover the legal implications of these new technologies, including Data Privacy and cybersecurity issues. 

This session will cover the evolution from Web 1.0 to Web 2.0 to Web 3.0,  the existing and new legal frameworks and regulations that may apply to Web 3.0, and how to navigate the complex landscape of emerging technologies. We will explore the legal, ethical, Cybersecurity, and Data Privacy risks of use and look at existing and emerging regulatory issues that may be implicated.

"The Importance of Data Literacy in the Era of Cybersecurity and Data Privacy"

In an increasingly digital world, businesses must find novel ways to be more conversant in the digital domain of their clients.  This session will explore digital literacy and why it is vital to businesses, key technology concepts and terminology that will better help organizations understand the challenges their clients face, and ways to improve maturity in digital literacy continually.

This session will explore what data literacy is and why it is a challenge for businesses,  how organizations can use Data Literacy to better communicate with internal and external clients, explore key concepts and terminology of data literacy, and the best next steps to embrace data literacy.

"Navigating the Landscape of Emerging Data Types: Key Cybersecurity and Data Privacy Insights for Businesses"

Data is ubiquitous and ever-growing. As we live in a rapidly digital world, more data and new data types are being created. As a result, many emerging data concerns things as biometrics, virtual and augmented reality, the Internet of Things (IoT), Smart devices, the Metaverse, and others involving Data Privacy, Data Protection, and Cybersecurity are on the horizon.  In this session, we will discuss types of technologies that create and use emerging data,  regulations and ethical concerns about and rights of the individual, and what businesses need to know about emerging data to succeed in the future with their businesses. 

This session will explore what emerging data is and why it is a challenge for businesses, the types of technologies that create emerging data types, the ethical concerns when using emerging data, the Data Privacy and Cybersecurity Concerns of emerging data types, and the best next steps to best leverage emerging data. 

"Future Threats to Cybersecurity and Data Privacy: The importance of Post-Quantum Cryptography for Businesses"

The development of Quantum Computing, digital computing that is vastly more powerful and capable than current computers, will create new opportunities and risks that will greatly impact most industries.

Huge opportunities with Quantum Computing include, for example, the ability to solve extremely complex problems more quickly than traditional computing. In addition, Quantum Computing will present more risks as, for example, Quantum Computers will be more capable of decrypting modern-day Cryptography used to secure the Internet and other critical applications and greatly increase the ability to leverage Machine Learning (ML) and Artificial Intelligence (AI). Also, as the technology becomes more complex, there is a need for better explainability and understanding of Quantum Computing. It becomes apparent that applications vulnerable to algorithmic bias (e.g., in the employment screening space, policing, etc.) may become even more so. In other words, Quantum Computing may have a magnifying negative side effect that could render such applications too risky to use absent special mitigating controls.

This session will define Quantum Computing and Post Quantum Cryptography and what businesses need to know, explore the benefits and risks of both, provide use cases and practical examples of scenarios that Quantum Computing and Post Quantum Cryptography may impact, and provide a survey of the legal, Data Privacy and Cybersecurity landscape including frameworks created to protect data in the Post Quantum Cryptography world, address Quantum Computing explainability, mitigating bias in AI, and look regulatory issues that may be implicated.

"Navigating the Cybersecurity and Privacy Challenges of the Internet of Things"

Connected devices and the internet of things (IoT) objects are all around us, including things like smartphones, smart doorbells, smart speakers, Smart thermostats, etc. A recent study stated that many businesses have more IoT and connected devices than computers. With more varied types of connected devices and IoT objects, there is an increase in data collection, risk, and a rapidly changing regulatory landscape.

 This session will explore types of connected devices and Internet of Things objects, how they collect data, the emerging opportunity and threats caused by these technologies, the current and emerging regulatory landscape, and what businesses need to know to stay rear of these new development opportunities.

"Navigating the Cybersecurity and Data Privacy Implications of Facial Recognition and Other Biometric Technologies"

Facial recognition has entered the mainstream with uses as varied as using biometrics instead of passwords, checking temperatures due to Covid–19 and uses in facility security and employee timekeeping. Facial recognition and other biometric data captures are becoming hot topics as we see more regulations and fines for businesses using these technologies, and a legal tightrope as businesses try to use emerging technologies is part of the new normal. There is also a risk in the legal frameworks and fines for businesses that use biometrics in ways that are counter to growing consumer and employee rights.

 This session will define concepts like facial recognition versus facial capture, explore the debate about the proper Data Privacy security concerns with biometric data capture, legal cases, the new and varied types of emerging biometrics, and what businesses need to know to stay informed about the benefits, risks, and regulatory issues with the use of biometrics.

"Navigating the Cybersecurity and Data Privacy Implications of the Metaverse: A Business Guide to Virtual and Augmented Reality"

Advancements in technology and digital realms are bringing forth new uses that will impact individuals and businesses. Although we may have heard buzzwords like the Metaverse, Virtual Reality, or Augmented reality, what do these emerging technologies mean for businesses?

This session will dive deep into the description and explanation of Metaverse, Virtual Reality, and Augmented Reality, the unprecedented data collection, the current and emerging uses cases, the regulatory and ethical landscape of emerging technology uses, and what businesses need to know to stay informed about the advantages and risks of these emerging technologies.