This presentation explores modern confidentiality, data security, and AI-related professional obligations in an increasingly hostile and deceptive threat environment. It explains how evolving risks such as AI-generated phishing, account takeovers, deepfakes, and inadvertent data sharing intersect with long-standing ethical duties, emphasizing that competence today includes understanding both the benefits and risks of technology. Through real-world examples and practical guidance, the session reinforces core principles like the strategic pause, high-confidence verification, responsible use of generative AI, proper data storage, and personal accountability, concluding that reasonable precautions remain both expected and achievable even as tactics and technologies change.
Learning Objectives
- Identify modern confidentiality, data security, and technology-competence obligations in today’s professional environment
- Recognize and respond to evolving social engineering threats, including AI-generated phishing, account takeovers, and deepfakes
- Apply verification, judgment, and supervision principles to the responsible use of generative AI tools
- Implement practical safeguards for protecting client and company data across work, travel, and personal technology use
Major Topics
- Evolving privacy, data security, and professional-responsibility obligations in a rapidly changing threat landscape
- Modern social engineering risks, including AI-generated phishing, account takeovers, QR code scams, and deepfakes
- Responsible use of generative AI, emphasizing supervision, judgment, verification, and client expectations
- Practical safeguards for protecting data, devices, and confidentiality at work, at home, and while traveling
