Privacy AI: The Future of Building Smart Privacy Programs

Michelle Dennedy is the CEO of PrivacyCode, a privacy engineering SaaS platform that translates complex privacy policies for developers. She is also the Co-founder and a Partner at Privatus Consulting, a company that assists clients with privacy engineering and governance, WickedPrivacy leadership solutions, and ESG metrics.

Michelle works closely with families, executives, and innovators at all levels and with businesses and organizations at all stages to support the combination of privacy policies, practices, and tools. She has held many leadership roles in data strategy and privacy at Sun Microsystems, McAfee, Intel, and Cisco in addition to various startup companies. Additionally, Michelle wrote and published two books on privacy engineering. She is a graduate of the Fordham University School of Law, where she earned her JD.

In this episode…

AI privacy is a complex and ever-evolving topic. As AI systems become more sophisticated, it’s essential to ensure technology is used in a way that respects the privacy of individuals. 

Michelle Dennedy, a seasoned privacy expert, recommends building smart privacy programs. These programs help organizations identify and mitigate privacy risks and comply with regulations. Companies and organizations can create a curriculum by developing policies and procedures, implementing technical controls, training employees on privacy issues, and conducting privacy risk assessments and regular audits.

Join Jodi and Justin Daniels in today’s episode of the She Said Privacy/He Said Security Podcast, where they again interview Michelle Dennedy, CEO of PrivacyCode and Co-founder and Partner at Privatus Consulting, about the surge in privacy tech stack. Michelle addresses privacy and security risks companies face in regard to AI, the current state of tech regulations, and how PrivacyCode advises companies on privacy programs.