The Data Privacy Vector of Business Risk: Navigating the Emerging Data Risk Frontier for Organizations
? Copyright 2024 Debbie Reynolds Consulting, LLC

The Data Privacy Vector of Business Risk: Navigating the Emerging Data Risk Frontier for Organizations

“Privacy is a data problem with legal implications, not a legal problem with data implications”.

Debbie Reynolds “The Data Diva”


"Photo-realistic image of two diverse individuals looking at a high-tech screen." Generated by DALL-E, 2024.

Many organizations have traditionally considered privacy a regulatory, compliance, and legal risk. However, the convergence of factors such as rising data breaches, a lack of transparency in data handling, and the growing adoption of emerging technologies has resulted in an erosion of customer trust, an increase in data breaches, and dependence on increasingly complex data systems. These forces together are creating a new Data Privacy Vector of Business Risk.

This Data Privacy Vector of Business Risk is created when data problems snowball and create more risks as data is collected, multiplied, duplicated, and used in many areas of an organization. As the data travels and goes deeper into organizations and data systems, the controls can be lost, the memory of the data line can be lost, and the data can be used in ways that are not only bad for individual privacy but also for business.

To minimize these kinds of risks, organizations must shift left, spending more time and attention on data issues before they can become legal issues. Organizations can adopt three strategies to better address the new Data Privacy Vector of Business Risk, which are, data risk prevention, data curation, and data lifecycle sunsetting..

Data Privacy Vector Risk Strategy - Data Risk Prevention

Data risk prevention is the first defense against the Data Privacy Vector of Business Risk. It involves taking proactive steps to identify potential data risks before they manifest into more significant issues. Organizations must implement robust data governance frameworks that include policies, processes, procedures, and technologies designed to protect data by enabling privacy by design thinking to minimize future Data Privacy risks.

Key elements of data risk prevention include:

  • Purpose Tracking - Ensuring that the purpose for which data was collected travels with the data throughout its lifecycle. This helps clarify why the data was collected and prevents its misuse.
  • High-Risk Use Case Monitoring - Develop a plan to be alert for high Data Privacy risk use cases. This includes identifying scenarios where data usage could pose significant privacy risks and implementing measures to monitor and mitigate those risks.
  • Regular Audits and Assessments - Implement audits and assessments regularly to identify high-risk future data uses. These assessments should include technical and non-technical aspects of data handling practices to ensure comprehensive risk identification and mitigation.

Data Privacy Vector Risk Strategy - Data Curation

Data curation involves the ongoing management and oversight of data to ensure its quality, integrity, and compliance with relevant regulations. Effective data curation practices can help organizations mitigate the Data Privacy Vector of Business Risk by controlling their data assets and ensuring that data is used appropriately and responsibly.

Key elements of data curation include:

  • Understanding the Context of Proper Data Uses - Understanding the context in which data should be used is crucial for effective data curation. Organizations must ensure that data is used in ways that align with its intended purpose and comply with relevant regulations and standards.
  • Minimizing Data Redundancy - Avoiding unnecessary data duplication across systems helps maintain data integrity and reduces Data Privacy risks. Implementing practices that ensure data is captured and used appropriately across the organization is essential.
  • Data Stewardship - Assigning data stewards responsible for overseeing the management and use of specific data assets can help ensure accountability and reduce Data Privacy risks. Data stewards should deeply understand the data they manage and ensure that it is used according to organizational policies and standards. Also, it will be vital for data stewards to understand how data flows and is used in other parts of the organization to have a more holistic view of data risks.??

Data Privacy Vector Risk Strategy - Data Lifecycle Sunsetting

Data lifecycle sunsetting involves the systematic and deliberate process of retiring data that is no longer needed or relevant. Data within organizations with low business value often presents some of the highest Data Privacy risks for organizations. By implementing robust data lifecycle sunsetting practices, organizations can reduce the amount of data they hold, minimizing the potential risks associated with data storage and use.

Key elements of data lifecycle sunsetting include:

  • Data Retention Policies - Establishing clear data retention policies that specify how long different data types should be retained can help organizations manage their data more effectively. These policies should be based on regulatory requirements, business needs, and best practices for data management.
  • Regular Data Deletion - Implementing regular processes for deleting no longer needed data can help ensure that data is removed promptly and consistently. This reduces the risk of retaining data beyond its useful life and minimizes the potential for data breaches, unauthorized access, or data misuse.
  • Data Anonymization - Anonymizing data can further protect individual privacy by ensuring that it cannot be traced back to specific individuals. This process involves removing or obfuscating personally identifiable information (PII) or personal data from datasets.

Navigating the emerging Data Privacy Vector of Business Risk requires organizations to adopt proactive and comprehensive strategies to mitigate potential data-related issues before they escalate into significant legal risks. By prioritizing data risk prevention, organizations can ensure robust data governance and prevent misuse of collected data. They can maintain data integrity and compliance through diligent data curation while minimizing redundancy and ensuring responsible data use. Implementing effective data lifecycle sunsetting practices allows organizations to systematically retire unnecessary data, reducing potential privacy risks. Embracing these strategies not only safeguards individual privacy but also fortifies business resilience against the multifaceted challenges posed by evolving data landscapes and helps organizations make Data Privacy a Business Advantage.

Do you need Data Privacy Advisory Services? Schedule a 15-minute meeting with Debbie Reynolds, The Data Diva.



Need a Keynote Speaker on "Data Privacy", Data Protection, and Technology issues? View our keynote speaker page for popular talks and topics. Ready to speak to "The Data Diva" about your speaking event? Fill out our speaker request form and Schedule a call now .

Debbie Reynolds "The Data Diva" Keynote Addresses

I'm thrilled to extend my heartfelt thanks to Volkswagen Credit, USDA, Ally Financial, National Grid, Lawrence Livermore National Laboratory, Northwestern Mutual, PayPal, Coca-Cola, FRTIB, Hewlett Packard Enterprises, WestRock, Capital Group, Johnson & Johnson, Uber, S&P Global, FDIC, DHL Supply Chain, The Erikson Institute, and Rubrik for the privilege of being your Keynote Speaker. Your commitment to innovation and excellence is inspiring, and I'm honored to have contributed to your events.

Do you need a Data+Privacy+Technology Keynote or Workshop? Here is the #1 most requested Data Privacy Keynote and Workshop for 2024:

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

Do you need a Keynote or workshop? Schedule a 15-minute meeting with Debbie Reynolds, "The Data Diva", to discuss your needs.


The Pact Data Privacy Trust Framework

Debbie Reynolds, "The Data Diva", launched the PACT "Data Privacy" Trust Framework & Scorecard. This Framework can evaluate regulatory and business risk and the Trust of individuals around "Data Privacy". This is a gut check for organizations of all sizes to rate and triage their "Data Privacy" challenges. This Framework addresses Purpose, Alignment, Context, and Transparency. Watch this video to learn the basics as Debbie Reynolds explains the PACT Data Privacy Trust Framework & Scorecard in 6 minutes.

Download our four-page PACT Framework Document here!

Visit our website to learn more about the PACT Data Privacy Trust Framework & Scorecard .


?? “The Data Diva” Talks Privacy Podcast Hits 350,000+ Downloads! ??

?? I am thrilled to announce that Debbie Reynolds and "The Data Diva" Talks Privacy podcast has reached a major milestone - 350,000+ downloads as of August 2024! ??

?? I want to thank our amazing listeners from over 118 countries and 2,509+ cities worldwide. Your support and enthusiasm have been nothing short of extraordinary! Also, I want to recognize The Data Privacy Advantage Newsletter's 13,100 + subscribers who faithfully read, comment, and share our work. ??????

Here are more of our accolades:

  • #1 Data Privacy Podcast Worldwide 2023 (Privacy Plan)
  • The 10 Best Data Privacy Podcasts In The Digital Space 2024 (bCast)?
  • Best Data Privacy Podcasts 2024 (Player FM)
  • Best Data Privacy Podcasts Top Shows of 2024 (Goodpods)
  • Best Privacy and Data Protection Podcasts of 2024 (Termageddon)
  • Top 40 Data Security Podcasts You Must Follow 2024 (Feedspot)

Watch a video short of our podcast on Tuesday, August 6, 2024, The Data Diva E196 - Michael Clark , Data Scholar and Author of the Book, “Data Revolution, The Rise of an Asset”. Here is a sneak preview of our Data Diva Podcast guests:


  • Tuesday, August 6, 2024, The Data Diva E196 - Michael Clark , Data Scholar and Author of the Book, “Data Revolution, The Rise of an Asset”
  • Tuesday, August 13, 2024, The Data Diva E197?- Matthew Lowe , Senior In-House Attorney,? Data Privacy & AI, and Adjunct Professor of AI Ethics, Legal Studies Department, University of Massachusetts Amherst?
  • Tuesday, August 20, 2024, The Data Diva E198 - Giulia Carna , Global Senior Data Protection Counsel, ACI Worldwide (United Kingdom)
  • Tuesday, August 27, 2024, The Data Diva E199?- John Cavanaugh , Executive Director & Privacy Evangelist, The Plunk Foundation?

Listen and subscribe to the new weekly episodes of?"The Data Diva" Talks Privacy Podcast .


The Data Diva Talks Privacy Podcast offers podcast sponsorships. Each level reflects a different degree of involvement and support for the podcast, catering to a wide range of sponsors from different sectors of the privacy community. If your organization is interested in exploring podcast sponsorship, please contact us!

  • Privacy Visionary: This is the highest sponsorship level, designed for those deeply invested in privacy. Sponsors at this level typically receive maximum exposure and benefits, such as prominent branding opportunities, an exclusive speaking slot, and significant recognition in our newsletter materials.
  • Privacy Champion: This level is for sponsors who are leaders in the privacy sector and looking to make a substantial impact. Benefits often include high visibility, the opportunity to contribute to supporting the podcast production, and special acknowledgments in select episodes and promotional materials.
  • Privacy Ambassador: Aimed at advocates for privacy, this level offers a balanced mix of visibility and engagement. Sponsors can expect moderate branding opportunities and mention in our newsletter.
  • Privacy Vanguard: This introductory sponsorship level is ideal for emerging players in the privacy domain. It offers a platform for sponsors to gain recognition and associate their brand with privacy advocacy, typically including basic branding and acknowledgment in our newsletter materials.

In addition, and by popular demand, we have expanded our Influencer offerings to include:

  • Social Media LinkedIn Post
  • Co-written Article for Your Website
  • Podcast 30-second Advertisement Read by the Data Diva
  • Data Privacy Advantage Newsletter Mention
  • Podcast Supporters
  • Data Diva Exclusives
  • Webinar Guest Speaker Panelist
  • Podcast Sponsorship: 1 month, 3 months, 6 months, 12 months
  • Four Pack - Past Episode Ad Placement per 4 episodes

Want to be a podcast sponsor to reach a broader audience? Schedule a 15-minute meeting with Debbie Reynolds, the Data Diva.


Many thanks to "The Data Diva" Talks Privacy Podcast Sponsor and Privacy Visionary, Smartbox AI, for sponsoring this episode and supporting our podcast. Smartbox.ai , named British AI Company of the Year, provides cutting-edge AI, helps privacy and technology experts uniquely master their Data Request challenges, and makes it easier to comply with Global data protection requirements, FOIA requests, and various US state privacy regulations. Their technology is a game-changer for anyone needing to sift through complex data, find data,? and redact sensitive information. With clients across North America and Europe and a major partnership with Xerox, Smartbox.ai is bringing its data expertise right to our doorstep, offering insights into navigating the complex world of global data laws. For more information about Smartbox AI, visit their website at https://www.smartbox .


Do you need a Data Diva Exclusive? Courtesy of Data Diva Media and "The Data Diva", in cooperation with our podcast's generous supporters, I am happy to share some valuable exclusives with our newsletter subscribers.


Many thanks to "The Data Diva" Talks Privacy podcast supporter Integral, a group that is revolutionizing health data compliance. Top tech and pharma leaders trust Integral's Privacy Workbench platform to simplify and speed up the expert determination process, ensuring compliant de-identification of sensitive datasets. No more guesswork about privacy risks or remediation options—Integral’s continuous monitoring keeps your data consistent and secure. Curious to streamline your data collaboration efforts? For more information about Integral, visit their website's Data Diva Link: https://why.useintegral.com/thedatadiva


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Many thanks to our Award-winning podcast sponsor, Safeguard Privacy, for offering a "Data Diva" exclusive offer! Get 15% off the first year of Safeguard Privacy compliance software using the code: DATADIVA15%


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*To get the discount, contact [email protected] and add?Datadiva20 to the subject line.


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Need a Privacy-Friendly Internet Browser extension? Data Diva Podcast alumni guest for episode 28 , Kelly Finnerty , Director of Brand and Content at Startpage, has a special offer! If you want more control over your Data Privacy and less behavioral tracking while surfing the Internet, look no further.

Install Startpage Privacy Protection Extension for Chrome and Firefox: Install the link here


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See our recently featured five-minute videos on Data Privacy from The Data Diva:

Do you want to see more original video content on emerging Data Privacy topics? Subscribe to our YouTube channel to get notified about each week's new video.


Many thanks to the press organizations and reporters who seek my commentary on important events around Data Privacy. Also, here are links to some of my other media collaborations. Here is a collection of a few of my 2023-2024 media mentions and collaborations:

  • ?? Debbie Reynolds, “The Data Diva,” shares an abbreviated recent presentation, "The Internet of Things (IoT), Data Privacy, and Connected Vehicles," given to the US Department of Commerce IoT Advisory Board in May 2024! Key Statistics:??95% of passenger cars sold are likely to have embedded connectivity by 2030??91.7% of U.S. households owned at least one vehicle in 2022??39% of consumers consider Data Privacy highly important during the vehicle shopping and ownership experience??72% of drivers are uncomfortable with automakers sharing their data with third parties??71% of drivers would consider buying an older car or one with less technology to protect their privacy and security??140% increase in vehicle cyberattacks from 2020 to 2021??For $2, a cybercriminal can buy a customer's personal car data and vehicle identity on the dark web??1 in 13 cyberstalking incidents include the use of GPS technologies.
  • ???? Debbie Reynolds , “The Data Diva”, Talks to the “Business School of AI ” about car privacy issues on the WeeklyWed session in June 2024. In this session, I discuss my research and the growing concerns about data privacy in connected vehicles. Watch the 1-hour video interview here: https://lnkd.in/gfCAcfaN
  • ?? Debbie Reynolds, “The Data Diva”, had an amazing time speaking at the Influence AI Cybersecurity Leadership Forum in Chicagoland on May 16, 2024! ??? It was a pleasure to spend time with Dawn Kristy “CyberDawn” and Gina Gianikos The Mindfluance Mastermind??! In my talk, "Data Provenance, Data Lineage, and AI," I delved into the complexities of data management and highlighted how these elements are crucial for effective AI implementation and cybersecurity. ????If you missed it, I am sharing the slides here .
  • ?? Learn Data Privacy Insights from Debbie Reynolds , “The Data Diva”, on the InfoSec Institute Podcast! ???Here is my latest podcast appearance on the Cyber Work InfoSec Institute Podcast with host Chris Sienko ! ?? Join me as I dive deep into the world of data privacy, exploring crucial insights and practical tips to protect your data in today's digital age. ?????? Read the article or listen to the podcast:https://lnkd.in/gBTeMYUs
  • ?? Listen to Debbie Reynolds, “The Data Diva”, and Leonard Lee of neXt Curve talk about the latest in privacy tech news ?? On the privacy front, two announcements rose from the noise: Microsoft’s Recall and Apple’s Apple Intelligence. Check out the audio version on BuzzSprout - https://lnkd.in/gQ__9Rw8
  • Listen to The "AI or Not" Podcast with Pamela Isom : Inaugural Guest - Debbie Reynolds , “The Data Diva”. Listen to this episode on your podcast directory of choice: https://lnkd.in/g36qwDXU
  • ??Sharing this interview from VPNRanks: Debbie Reynolds ‘The Data Diva’ Reveals Key Insights on Data Privacy in Exclusive Interview with VPNRanks? ??I recently did with VPNRanks, where I dive deep into the critical topic of Data Privacy! ?????Read the article here: https://lnkd.in/g73ShGPt
  • Debbie Reynolds , "The Data Diva," speaks with Heidi Saas at "The worst thing you have seen working in Privacy- try and shock us!!" in June 2024 - ??Click here to see the replay!
  • ?? Tune in to the TechTalks channel to hear Data Privacy Expert Debbie Reynolds, "The Data Diva," & Technology Editor Stephen Lawton discuss the evolving landscape of U.S. privacy laws, emerging trends, and key insights for CISOs. Don't miss the complimentary webinar on demand! https://bit.ly/4aQ8Tnf
  • Many thanks to VPNRanks for including Debbe Reynolds, “The Data Diva,” in an article called ”2024 Data Privacy Statistics by VPNRanks: 3 in 10 Internet Users May Face Data Leakage by 2024 by VPN Ranks.” ? This article contains amazing statistics on Privacy and emerging technology uses.? AI is predicted to contribute to 3 in 10 internet users facing data leakage, raising breach costs to $4.56 million. Despite these risks, 56% of companies are predicted to adopt AI for data privacy by 2024. They have discussed the essential statistics shaping this year's Data Privacy landscape. Access the article here: https://www.vpnranks.com/resources/data-privacy-statistics/#experts-insight

”With more data from humans and the rapid adoption of AI technologies, organizations will need to think about Data Privacy as a business problem and a business risk.” – Debbie Reynolds in VPNRanks Article

  • Join Debbie Reynolds, “The Data Diva”,?and Leonard Lee , the Executive Analyst and founder of neXT Curve ,?for a new podcast series called "The State of Privacy and Trust".?We will regularly address the critical topics related to #privacy and the growing concerns regarding #trust that is challenging every aspect of our society and lives.?See the latest called The neXt Curve reThink Podcast, Data Diva 911! The CrowdStrike "Outage" and more (with Debbie Reynolds). ?Topics include:
  • ?? CrowdStrike "outage" - what happened and what is it? (02:03)
  • ?? The cybersecurity incident forgotten - AT&T data breach (24:00)
  • ?? Google's reversal on the elimination of cookies for privacy (30:27)
  • ?? Oracle settles and resets on their data brokerage business (38:55)

Subscribe to the neXT Curve YouTube Channel to get notified when new episodes are posted.

#privacy #cybersecurity #datadiva #dataprivacy

Please see our website media mention section for a full list of media mentions.

We're excited to announce the launch of Pamela Isom 's new podcast, "AI or Not," produced by Data Diva Media!

"AI or Not" is the podcast where digital transformation meets real-world wisdom. Hosted by Pamela Isom, a seasoned leader with over 25 years of experience in guiding businesses through digital disruption and transformation, this show explores the intersection of artificial intelligence, innovation, cybersecurity, ethics, and technology. With awards recognizing her as a change agent and digital disruptor, Pamela brings a wealth of knowledge and insight to the table.

The show demystifies the complexities of AI and emerging technologies, shedding light on their impact on business strategies, governance, product innovations, humanity, and societal well-being with esteemed guests from around the globe. Whether you're a professional seeking sustainable growth, a leader navigating digital ethics, or an innovator striving for meaningful impact, "AI or Not" offers insights, experiences, and discussions to illuminate your path in the digital age.

"AI or Not" Listen to and subscribe to this podcast.


Data Diva Media is a media production operation providing?world-class video and podcast editing services.

Our Media Services include:

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Ready to start your media project with "Data Diva" Media? Visit our Data Diva Media Website Page for more details and to schedule a meeting with the "Data Diva" Talks Privacy Podcast

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Raymond A. Merritt

Home Business Entrepreneur | Empowering Learners, Educators, Authors, Writers, and Creators to Achieve Financial & Time Freedom Through Innovative Community-Driven E-Learning, Creation & Promotion | U.S. Army Vet ????

3 个月

Fantastic insights on data privacy, Debbie! Your detailed analysis is incredibly valuable for anyone managing data in today's complex landscape.

Dawn Kristy

The Cyber Dawn | Former attorney helping businesses manage cyber and AI risks | Risk-awareness training presentations and workshops | HBR Advisory Council Member | Author, Award-Winning Cybersecurity Book |

3 个月

Debbie Reynolds, another outstanding and timely newsletter on emerging data risks and privacy concerns!

Very much agree! I don’t think Privacy laws ask anything you would not do if you had a good and efficient data management process! It just gives an edge to it if you don’t - GDPR is a basic datamanagement tool-set - on legal language.

Akbar Jaffer

B2B Product Marketing Expert | Product Strategy | Expert in Marketing transformations | Fractional CMO | CRM & Marketing Automation | Startup Advisor | Adjunct Professor of Marketing and Entrepreneurship

3 个月

Debbie Reynolds I always enjoy and learn a lot from your posts. Thank you for sharing. Chat soon!

Patricia Gestoso-Souto ◆ Inclusive AI Innovation

Director Scientific Services and Operations SaaS | Ethical and Inclusive Digital Transformation | Award-winning Inclusion Strategist | Trustee | International Keynote Speaker | Certified WorkLife Coach | Cultural Broker

3 个月

Good article, Debbie Reynolds. What I find often is that organisations decouple data from AI. They may have relative robust policies and procedures for handling data - e.g. customer and leads data - after years of being lectured about GDPR. However, they miss that underneath AI, all is data.? As a woman in tech with 20+ years of experience in AI systems, I find it surprising how much of AI's discussions are about algorithms, and data only comes up when discussing biases. For example, many AI systems - like some LLMs - are built without data consent or deletion processes in mind.

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