jan 25 data privacy, cybersecurity, Generative ai

technology, compliance, legal strategies

This webinar features AWS, Microsoft and Morgan Lewis keynotes, offering technical, legal and compliance insights across the three critically important areas of Data Privacy, Generative AI and CyberSecurity. It is designed for IT/Technology leaders, General Counsel/Attorneys and their legal staff, plus Finance/Audit, Corporate Risk and Insurance professionals.

Topics to be discussed are listed below. Click on green button to register, scroll down to see the full and detailed agenda, plus expert speakers. Click on their name to view their Linkedin profile, and session title for additional information.

We understand that you may attend for a portion of the webinar, perhaps for only the opening legal content, or will join later on. That is perfectly fine, please still register.

  • Comply with and understand rapidly evolving State, Federal and International Government regulations and laws: EU AI Act, US AI Executive Order, California Privacy Rights Act (CPRA), Connecticut Data Privacy Act (CTDPA), HIPAA, GDPR and more.

  • Satisfy disclosure requirements, through automated data analysis and report generation, for 3rd parties: SEC/Investor, Independent Auditor, Board of Directors, Insurer/Corporate Risk Consultant, Customer, Supplier

  • Verify that Generative AI Deployments:

    • Satisfy Responsible and Ethical AI guidelines, without implicit or explicit bias affecting results

    • Meet Business/Financial Objectives and do not create unintended, negative consequences around cybersecurity risks, possibility of breaches/attacks, and data privacy

    • Seamlessly integrate Gen AI and LLM capabilities with your existing Cloud and Application platforms

  • Block, using both Technology (Firewalls) and Legal (Contracts), Web-Scraping Bots from accessing confidential data and using your proprietary information to train their publicly-available LLM Gen AI models (click here to read about NY Times lawsuit against OpenAI)

  • Protect intellectual property (IP) by identifying and stopping the creation/usage of misleading if not deepfake/false content, created by AI using your confidential and proprietary digital assets.

  • Design a Data Locality Framework and Strategy - where do you store information, internal data centers versus external cloud facilities? - that optimizes user performance, provides realtime backup and disaster recovery, and complies with applicable laws and regulations.

  • Analyze and confirm that your technical, administrative and legal guidelines are compliant with CyberInsurance policy requirements

  • Establish policies covering data usage and analysis outside of IT, by line-of-business staff, to ensure compliance with data privacy/protection policies for the entire organization

Here is typical and highly positive Angelbeat attendee feedback, this from the IT Director at a global pharmaceutical firm: “All the events that you host are always enjoyable because they are to the point, not a sales pitch and an educational, factual experience.”

Please use your Angelbeat account - created on the secure Memberspace platform, at no charge - to register to attend this webinar (hosted on Zoom), which also lets you download slides, watch on-demand videos, plus signup for future programs with one-click. If you already have an account, you will be asked to confirm your registration. Otherwise you are prompted to fill out a simple contact form.

If you have any questions email rgerber@angelbeat.com and we will get back to you right away.

Speakers, Topics, Agenda

1:05 Morgan Lewis Open Keynotes

W. Reece Hirsch, Partner, Co-Head Data Privacy & CyberSecurity, Morgan Lewis

Andrew J. Gray IV, Partner, Intellectual Property (IP), Artificial Intelligence, Machine Learning, Morgan Lewis

Morgan Lewis is one of the world’s leading law firms. They will discuss legal risks and solutions that integrate with technology platforms, around Gen AI, CyberSecurity and Data Privacy.

Enhancing Trust and Protecting Data Privacy in the AI Era: The need for Data Privacy and Cybersecurity compliance measures has become a paramount consideration as businesses become more digitally driven, data breaches become more publicized, and regulation continues to increase. Company executives, boards of directors, employees, customers, and third-party providers all have data security obligations. Leveraging our industry-specific command of privacy and cybersecurity issues and our experience navigating complex regulatory environments, we customize solutions and policies to meet each client’s business demands and ever-changing technology footprint.

Artificial Intelligence, Machine Learning and Automation: Legal Strategies and Frameworks to Protect Intellectual Property and Support Line-of-Business Strategies. Artificial intelligence (AI), machine learning (ML), and automation are no longer futuristic technologies, as we see elements of each rapidly integrating into virtually every facet of daily life. As the incentives for AI and ML innovations have increased, spending on research, development, and implementation grows ever faster. We help our clients harness these disruptive technologies to achieve business objectives while keeping pace with fast-evolving legal and regulatory actions seeking to contend with their growth.

1:35 Sherry Ding, Senior AI/ML Solutions Architect, AWS

Responsible AI, From Theory to Practice: The rapid growth of generative AI brings promising new innovation, and at the same time raises new challenges. AWS is committed to developing AI responsibly, taking a people-centric approach that prioritizes education, science, and our customers, to integrate responsible AI across the end-to-end AI lifecycle. This content will specifically address how AWS builds generative AI Services and provides solutions in a responsible way.

1:55 Martin Holste, Field CTO, Cloud & AI, Trellix

Managing Generative AI Data Privacy and Compliance Risks: Gen AI can provide enormous productivity boosts, but it comes with certain risks to privacy and compliance. Learn what is and isn't shared with AI providers, where AI training data comes from, and how to manage the different implementations to ensure you can take full advantage of AI without putting your org at risk.

2:15 Safdar Zaman, Principal Solutions Architect, Microsoft

Enhancing Trust and Protecting Data Privacy in the AI Era: Microsoft wants to empower our customers to harness the full potential of new technologies like artificial intelligence, while meeting their data privacy needs and expectations. This session will share key aspects of how our approach to protecting data privacy in AI – including our focus on security, transparency, user control, and continued compliance with data protection requirements – are core components of our new generative AI products like Microsoft Copilot.

2:35 Cindy Blake, CISSP, VP Marketing, Firefly

Using AI-Driven Automation to Keep Your Cloud Aligned to Policies: There are risks to using AI, or any impactful innovation. But let's look at how AI and automation can benefit auditors and others responsible for the integrity of their cloud infrastructure. Understanding the history of your cloud resources, how they have been configured, how and who changed those configurations, and if they adhere to policies can be a daunting task when done manually. Learn how Infrastructure as Code and automation come together to help you quickly identify change history, recover deleted assets, and correct policy violations.