"The Data Diva" Talks Privacy Podcast"

Debbie Reynolds
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Mar 31, 2026 • 38min

The Data Diva E282 - Evan Benjamin and Debbie Reynolds

Send us Fan MailIn this episode, Debbie Reynolds “The Data Diva” speaks with Evan Benjamin, President of Tier 3 Inc., about the growing challenges of privacy in AI systems, particularly in relation to inference, agent-based systems, and data lifecycle management.Evan shares his transition from IT, e-discovery, and information security into privacy, highlighting how the rapid adoption of large language models has exposed gaps in how organizations approach privacy and data protection. The conversation explores the distinction between security and privacy, emphasizing that security focuses on protecting systems while privacy focuses on purpose, data use, and fundamental rights.Debbie and Evan discuss the risks associated with AI-driven inference, including how systems generate insights about individuals based on context and historical data, often without user awareness or control. They also examine how AI memory and agent-based systems can extend data usage beyond original intent, raising concerns about purpose limitation and data minimization.The discussion further addresses challenges with data retention, logging, and traceability, as well as the difficulty of deleting data from AI systems once it has been incorporated into model training. Evan highlights the technical limitations of data erasure in machine learning models and the implications for privacy rights such as the right to be forgotten.Finally, the conversation explores issues related to data processing across multiple systems, including the complexity of managing controllers, processors, and sub-processors, as well as emerging risks related to liability when organizations deploy AI systems and autonomous agents.By popular demand, Debbie Reynolds Consulting is now offering executive briefings on emerging data privacy risks and how companies can avoid them. To learn more, visit the Executive briefings page on my website.Support the showBecome an insider, join Data Diva Confidential for data strategy and data privacy insights delivered to your inbox. 💡 Receive expert briefings, practical guidance, and exclusive resources designed for leaders shaping the future of data and AI. 👉 Join here: http://bit.ly/3Jb8S5pDebbie Reynolds Consulting, LLC
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Mar 24, 2026 • 36min

The Data Diva E281 - Mojisola Abi Sowemimo and Debbie Reynolds

Send us Fan MailIn this episode, Debbie Reynolds “The Data Diva” speaks with Mojisola Abi Sowemimo about the intersection of privacy, governance, and emerging technologies, with a focus on how organizations can better align data practices with regulatory expectations and ethical responsibilities.The conversation explores how organizations approach privacy in practice, including gaps between policy and implementation, and the challenges of operationalizing privacy requirements across complex systems. Mojisola discusses the importance of embedding privacy considerations early in system design, as well as the need for organizations to move beyond surface-level compliance toward more accountable and transparent data practices.Debbie and Mojisola also examine how global regulatory differences influence organizational behavior, the role of governance frameworks in managing data risk, and the importance of building internal awareness and accountability. The discussion highlights how organizations can strengthen their approach to privacy by aligning legal, technical, and operational perspectives while ensuring that data practices remain consistent with user expectations and regulatory requirements.By popular demand, Debbie Reynolds Consulting is now offering executive briefings on emerging data privacy risks and how companies can avoid them. To learn more, visit the Executive briefings page on my website.Support the showBecome an insider, join Data Diva Confidential for data strategy and data privacy insights delivered to your inbox. 💡 Receive expert briefings, practical guidance, and exclusive resources designed for leaders shaping the future of data and AI. 👉 Join here: http://bit.ly/3Jb8S5pDebbie Reynolds Consulting, LLC
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Mar 17, 2026 • 36min

The Data Diva E280 - Federica Fornaciari and Debbie Reynolds

Send a textFederica Fornaciari, Full Professor and Academic Program Director for the Master's in Strategic Communications, National UniversityIn this episode, Debbie Reynolds "The Data Diva" speaks with Federica Fornaciari, Full Professor and Academic Program Director for the Master's in Strategic Communications at National University, about how communication, media narratives, and cultural values shape societies' understanding of privacy, technology, and artificial intelligence.Federica shares her background studying communication, journalism, and privacy research, including her work examining how media narratives in the United States and Europe have shaped public perceptions of privacy over time. The conversation explores how privacy is often framed as a fundamental human right in Europe, whereas in the United States, it is frequently treated as a consumer or transactional issue, shaping both regulatory approaches and public expectations.Debbie and Federica discuss the role of AI literacy in privacy protection, emphasizing that people increasingly share highly personal information with generative AI systems without fully understanding how their data may be collected, stored, or used. They also explore the ethical responsibilities of organizations developing AI technologies, as well as the importance of transparency, accountability, and the embedding of ethical values in algorithm design.The conversation also addresses emerging risks, including deepfakes, the erosion of public trust in digital information, and the challenges of identifying manipulated content. Debbie and Federica discuss the importance of media literacy and education in helping individuals recognize these risks while also acknowledging that technological detection tools often lag behind the creation of synthetic media.Finally, the discussion explores the risks of algorithmic inference in areas such as healthcare and decision making, the importance of keeping humans in leadership roles when using AI systems, and the need for ethical frameworks that protect human rights, avoid bias, and prioritize transparency and accountability. Federica concludes by emphasizing the importance of combining technology design, human literacy, and regulatory frameworks to create a more responsible global approach to privacy and AI governance.By popular demand, Debbie Reynolds Consulting is now offering executive briefings on emerging data privacy risks and how companies can avoid them. To learn more, visit the Executive briefings page on my website.Support the showBecome an insider, join Data Diva Confidential for data strategy and data privacy insights delivered to your inbox. 💡 Receive expert briefings, practical guidance, and exclusive resources designed for leaders shaping the future of data and AI. 👉 Join here: http://bit.ly/3Jb8S5p Debbie Reynolds Consulting, LLC
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Mar 10, 2026 • 39min

The Data Diva E279 - Bob Carver and Debbie Reynolds

Send us Fan MailBob Carver, CEO, Cybersecurity BoardroomIn this episode, Debbie Reynolds speaks with Bob Carver, CEO of Cybersecurity BoaDebbie Reynolds “The Data Diva” talks to Bob Carver, CEO of Cybersecurity Boardroom, about the evolving cybersecurity and privacy risks created by emerging technologies, connected devices, and increasingly sophisticated threat actors.Bob shares his path into cybersecurity, beginning with a career managing commercial real estate before transitioning into information systems and eventually helping build one of the early internal security programs at Verizon Wireless. He reflects on how cybersecurity has evolved from basic perimeter defenses such as firewalls and intrusion detection systems into a far more complex environment where organizations must secure interconnected systems, APIs, cloud services, and AI technologies.The conversation explores several emerging risks associated with artificial intelligence systems, including model inversion attacks that allow attackers to extract sensitive or proprietary information from AI models, as well as the potential theft of entire AI models through repeated API queries. Debbie and Bob also discuss the security risks associated with agentic AI systems that have administrative permissions to interact with files, databases, or enterprise systems, highlighting the importance of strong guardrails and controlled access.Privacy risks related to connected devices are also discussed, including smart televisions and other IoT technologies that continuously collect and transmit user data to manufacturers and data brokers. Debbie and Bob examine the broader implications of large-scale data collection and the challenges individuals face in maintaining visibility and control over their personal information.The episode also covers common phishing attacks that mimic legitimate security alerts and the importance of verifying requests through official platforms. Finally, Bob discusses the potential future of cybersecurity, highlighting the role that zero-trust architectures and post-quantum encryption may play in strengthening long-term digital security.By popular demand, Debbie Reynolds Consulting is now offering executive briefings on emerging data privacy risks and how companies can avoid them. To learn more, visit the Executive briefings page on my website.Support the showBecome an insider, join Data Diva Confidential for data strategy and data privacy insights delivered to your inbox. 💡 Receive expert briefings, practical guidance, and exclusive resources designed for leaders shaping the future of data and AI. 👉 Join here: http://bit.ly/3Jb8S5pDebbie Reynolds Consulting, LLC
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Mar 3, 2026 • 37min

The Data Diva E278 - Chuck Brooks and Debbie Reynolds

Send us Fan MailChuck Brooks, President, Brooks Consulting International and Adjunct Faculty, Georgetown UniversityIn this episode, Debbie Reynolds speaks with Chuck Brooks about why data privacy and cybersecurity are now strategic imperatives for organizations. The discussion includes Chuck’s Forbes article, “Why Data Privacy Is a Strategic Imperative for Organizations,” and expands on its core themes in the context of today’s rapidly evolving threat landscape.The conversation begins with the rapid evolution of artificial intelligence, including generative AI and agentic AI. Chuck explains how AI is being used not only for productivity and automation but also for sophisticated phishing campaigns, automated vulnerability discovery, ransomware operations, bot-driven attacks, and large-scale fraud. They discuss the risks of agentic AI operating autonomously without clear regulatory guardrails, as well as the dangers of poor data quality when AI systems rely on flawed or excessive data.Debbie and Chuck examine cybersecurity hygiene, including password management, multi-factor authentication, identity protection, social engineering threats, phishing resilience, segmentation of critical data, and the importance of assuming breach as part of an overall resilience strategy. They highlight why small and medium businesses are especially vulnerable in today’s threat environment.The discussion explores the relationship between privacy and cybersecurity, clarifying how privacy is contextual and often elective, while cybersecurity focuses on protecting systems and data integrity. They examine oversharing on social media, identity exploitation, insider threats, trade secret protection, and why organizations must treat data as a strategic asset. The importance of building a culture of privacy within organizations is emphasized as a leadership responsibility rather than a compliance afterthought.IoT risks are addressed, including default passwords, connected devices as attack vectors, endpoint vulnerabilities, and real-world breaches involving unexpected networked devices. The episode also covers data retention risks, overcollection, data minimization, and the need for structured governance frameworks that prioritize high-value data.Finally, the conversation turns to quantum computing. Chuck explains different forms of quantum technologies, including quantum algorithms, sensing, and photonics, and discusses the potential impact of “Q Day” on encryption standards. They explore quantum-resistant algorithms, NIST guidance, and the convergence of quantum and AI as both transformative and disruptive forces.By popular demand, Debbie Reynolds Consulting is now offering executive briefings on emerging data privacy risks and how companies can avoid them. To learn more, visit the Executive briefings page on my website.Support the showBecome an insider, join Data Diva Confidential for data strategy and data privacy insights delivered to your inbox. 💡 Receive expert briefings, practical guidance, and exclusive resources designed for leaders shaping the future of data and AI. 👉 Join here: http://bit.ly/3Jb8S5pDebbie Reynolds Consulting, LLC
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Feb 24, 2026 • 51min

The Data Diva E277 - Tom Kemp and Debbie Reynolds

Send us Fan MailEpisode e277- Tom Kemp The Data Diva Talks Privacy PodcastTom Kemp, Executive Director of the California Privacy Protection AgencyIn Episode 277 of The Data Diva Talks Privacy Podcast, Debbie Reynolds, the Data Diva, speaks with Tom Kemp, Executive Director of the California Privacy Protection Agency, about California’s role as the de facto privacy bellwether in the United States and how regulatory expectations are shifting from policy development to operational enforcement and accountability.Debbie and Tom discuss key regulatory focus areas, including the Delete Request and Opt-Out Platform (DROP), Automated Decision-Making Technologies (ADMT), Opt-Out Preference Signals (OOPS), Global Privacy Control (GPC), cybersecurity audits, and privacy risk assessments. The conversation explores how these initiatives reflect a broader shift toward measurable governance, technical compliance, and demonstrable accountability.They also discuss how regulators assess data risk, emerging enforcement trends, and what companies should be thinking about now as privacy programs start and mature. Tom explains how organizations can prepare for evolving expectations around governance, risk management, and documentation, and what strong privacy governance looks like going forward.The episode concludes with Tom Kemp’s message to organizations about accountability, risk awareness, and responsible innovation as privacy regulation continues to evolve alongside artificial intelligence and emerging technologies.By popular demand, Debbie Reynolds Consulting is now offering executive briefings on emerging data privacy risks and how companies can avoid them. To learn more, visit the Executive briefings page on my website.Support the showBecome an insider, join Data Diva Confidential for data strategy and data privacy insights delivered to your inbox. 💡 Receive expert briefings, practical guidance, and exclusive resources designed for leaders shaping the future of data and AI. 👉 Join here: http://bit.ly/3Jb8S5pDebbie Reynolds Consulting, LLC
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Feb 17, 2026 • 38min

The Data Diva E276 - Willem Koenders and Debbie Reynolds

Send us Fan MailBy popular demand, Debbie Reynolds Consulting is now offering executive briefings on emerging data privacy risks and how companies can avoid them. To learn more, visit the Executive briefings page on my website.Support the showBecome an insider, join Data Diva Confidential for data strategy and data privacy insights delivered to your inbox. 💡 Receive expert briefings, practical guidance, and exclusive resources designed for leaders shaping the future of data and AI. 👉 Join here: http://bit.ly/3Jb8S5pDebbie Reynolds Consulting, LLC
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Feb 10, 2026 • 37min

The Data Diva E275 - Toin Berry and Debbie Reynolds

Send us Fan MailIn Episode 275 of the Data Diva Talks Privacy Podcast, Debbie Reynolds, the Data Diva, speaks with personal data privacy consultant Toin Berry about how personal data is collected, combined, inferred, and reused in ways that can significantly affect individuals without their awareness. The conversation focuses on how modern data ecosystems operate beyond direct data collection, emphasizing how inference and aggregation can shape outcomes for people in ways that are difficult to see and even harder to challenge.Throughout the episode, Debbie and Toin explore how personal data moves through complex networks that include platforms, data brokers, analytics firms, and secondary users. They discuss how information collected in one context can be repurposed in another, how inferred attributes can be treated as facts, and how predictive models can influence decisions about individuals in employment, housing, access to services, and social standing. The discussion also addresses how these practices affect autonomy and agency, particularly when individuals are unaware that profiles are being created about them based on behavioral signals rather than explicit disclosures.The conversation further examines the limits of commonly promoted privacy controls, such as deletion requests and consent mechanisms, when data has already been copied, enriched, or redistributed across multiple systems. Debbie and Toin talk about the role of data brokers, the recycling of personal data, and the challenges individuals face when trying to understand where their data travels and how it is ultimately used. They also compare approaches to privacy protection in different jurisdictions, including perspectives shaped by European data protection frameworks and U.S. sector based models, highlighting how cultural and regulatory differences influence expectations and outcomes.This episode also emphasizes the importance of education and data literacy in privacy conversations. Rather than focusing on fear or alarm, Debbie and Toin discuss the need for clearer explanations of how data-driven systems work, how inferences are generated, and what meaningful prevention looks like in practice. The discussion reinforces the idea that privacy is fundamentally about human impact, agency, and long-term consequences, and that understanding data use is essential for protecting people in increasingly complex digital environments.By popular demand, Debbie Reynolds Consulting is now offering executive briefings on emerging data privacy risks and how companies can avoid them. To learn more, visit the Executive briefings page on my website.Support the showBecome an insider, join Data Diva Confidential for data strategy and data privacy insights delivered to your inbox. 💡 Receive expert briefings, practical guidance, and exclusive resources designed for leaders shaping the future of data and AI. 👉 Join here: http://bit.ly/3Jb8S5pDebbie Reynolds Consulting, LLC
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Feb 3, 2026 • 42min

The Data Diva E274 - Liz MacPherson and Debbie Reynolds

Send us Fan MailEpisode 274 – Liz MacPherson, Deputy Privacy Commissioner, Office of the Privacy Commissioner, New ZealandIn Episode 274 of The Data Diva Talks Privacy Podcast, Debbie Reynolds, The Data Diva, talks with Liz MacPherson, Deputy Privacy Commissioner at the Office of the Privacy Commissioner of New Zealand, about how privacy functions as a critical guardrail for innovation rather than a barrier to progress. The discussion focuses on New Zealand’s purpose and context-based privacy framework and why strong privacy foundations enable faster, safer, and more trustworthy data use across government and industry. The conversation explores a landmark case involving the use of facial recognition technology in supermarkets, where regulators, businesses, and independent evaluators worked together to test effectiveness, necessity, and proportionality before deployment. Debbie and Liz unpack why biometric data demands heightened scrutiny, how privacy impact assessments and real-world trials can reduce risk, and why facial recognition is not a plug-and-play technology. They also discuss the importance of human oversight, data quality, access controls, transparency to the public, and the risks of bias and misidentification when systems are poorly governed. Debbie and Liz also examine New Zealand’s Biometric Processing Privacy Code and its role in setting clear thresholds for biometric use, including limits on categorization and inference. The episode highlights why data retention is one of the most overlooked sources of organizational risk, how unnecessary data creates downstream harm, and why treating personal information as a treasure rather than an asset to be exploited builds long-term trust. Liz emphasizes that organizations succeed when they place people at the center of data decisions and design privacy as part of the full information lifecycle.By popular demand, Debbie Reynolds Consulting is now offering executive briefings on emerging data privacy risks and how companies can avoid them. To learn more, visit the Executive briefings page on my website.Support the showBecome an insider, join Data Diva Confidential for data strategy and data privacy insights delivered to your inbox. 💡 Receive expert briefings, practical guidance, and exclusive resources designed for leaders shaping the future of data and AI. 👉 Join here: http://bit.ly/3Jb8S5pDebbie Reynolds Consulting, LLC
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Jan 27, 2026 • 45min

The Data Diva E273 - Kohei Kurihara and Debbie Reynolds

Send us Fan MailIn Episode 273 of The Data Diva Talks Privacy Podcast, Debbie Reynolds, The Data Diva, talks with Kohei Kurihara, CEO and Founder of Privacy by Design Lab, about the relationship between privacy, trust, and innovation across Japan and the broader Asia-Pacific region. Kohei shares how his background in startups, blockchain, and digital identity led him to focus on privacy as a foundational element of sustainable technology.The discussion explores the distinction between security and privacy, including why technical safeguards alone cannot establish trust. Debbie and Kohei examine privacy by design as a proactive discipline, contrasting it with reactive compliance-driven approaches. They discuss why companies that embed privacy early can move faster, innovate responsibly, and build stronger relationships with users rather than slowing progress.The episode also examines cultural perspectives on privacy in Japan and Asia, including how collective values, family structures, and trust-based relationships influence attitudes toward data sharing. Kohei emphasizes that privacy expectations are shaped by history and culture, and that global frameworks must account for these differences. The conversation reinforces that trust, not compliance alone, is what ultimately determines whether technology is accepted and sustained.By popular demand, Debbie Reynolds Consulting is now offering executive briefings on emerging data privacy risks and how companies can avoid them. To learn more, visit the Executive briefings page on my website.Support the showBecome an insider, join Data Diva Confidential for data strategy and data privacy insights delivered to your inbox. 💡 Receive expert briefings, practical guidance, and exclusive resources designed for leaders shaping the future of data and AI. 👉 Join here: http://bit.ly/3Jb8S5pDebbie Reynolds Consulting, LLC

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