She Said Privacy/He Said Security

Monique Priestley is a Vermont State Representative focused on data privacy, AI, right to repair, and the future of work. Monique serves on the House Commerce & Economic Development Committee, Joint IT Oversight Committee, and multiple national tech policy task forces. She was named a 2024 EPIC Champion of Freedom.

State privacy laws are evolving faster than ever, yet the dynamics shaping them often remain out of view for most organizations. Technology shifts quickly, and the issues raised in proposed privacy and AI bills require far more research and preparation than the calendar allows. That's why lawmakers work year-round to understand these complex technologies and collaborate with their peers in other states to refine definitions and bill provisions, ensuring that appropriate privacy protections are in place.

Many states entered 2025 with strong privacy bills on the table, yet progress slowed as industry counterproposals and competing drafts drew support away from stronger models, making it harder for legislators to keep consumer privacy protections intact. Vermont State Representative Monique Priestley has seen this firsthand and brings a unique lens to this dynamic, drawing on her discussions with the public and her collaborative work with lawmakers across the country. As public concerns about privacy and AI grow and privacy laws evolve, companies will need to be proactive about the steps they take to protect people's data and be clear about how those protections work.

In this episode of She Said Privacy/He Said Security, Jodi and Justin Daniels talk with Monique Priestley, Vermont State Representative, about the realities that shape state-level privacy and AI legislation. Monique discusses the behind-the-scenes work required to educate lawmakers and build strong, technology-informed privacy and AI bills, and what might change in the year ahead. She also shares insights into the public's rising concerns about how their data is used, highlighting the steps companies can take to build trust.

Mariette Clardy-Davis is Assistant General Counsel at Primerica, providing strategic guidance on the Securities Business. Recognizing AI competence as a professional duty, she launched "Unboxing Generative AI for In-House Lawyers" virtual workshops and an online directory empowering lawyers to move from AI overwhelm to practical application through hands-on learning.

Legal teams are turning to generative AI to speed up their work, yet many struggle with getting consistent, usable results. Learning AI skills requires hands-on practice with prompting frameworks, styling guides, and instructions that improve output quality. That's why attorneys need creative training approaches that help these skills stick and carry over into their day-to-day work.

Building AI fluency isn't about mastering the technology itself. It's about shifting mindset and approach. One common challenge legal teams encounter is expecting AI to deliver consistent outputs every time, yet AI doesn't work like a copy machine. It responds through patterns, so the same prompt might produce different results. That's why creative, narrative-based training is effective for learning prompting frameworks. When attorneys pair detailed prompt instructions with gold standard examples, AI tools get the reference points they need for tone, style, and structure. Saving strong prompts into a library creates leverage and reduces the time spent rebuilding instructions for recurring tasks. This helps attorneys reduce rework, improve accuracy, and shift from basic efficiency tasks to work that supports strategy and collaboration.

In this episode of She Said Privacy/He Said Security, Jodi and Justin Daniels talk with Mariette Clardy-Davis, Assistant General Counsel at Primerica, about how in-house legal teams can embrace generative AI education. Mariette explains how creative, story-driven workshops make AI learning more engaging and why understanding prompting frameworks is essential for consistent results. She discusses common misconceptions lawyers have about generative AI tools and how building a task-based directory with reusable prompts helps legal teams save time on repetitive work. Mariette also explains how attorneys can use AI not just to speed up tasks but to support more substantive legal work.

Khurram Chhipa currently serves as General Counsel at Halborn, a leading cybersecurity company in the Web3 space. With expertise spanning blockchain security, compliance, and digital risk management, he brings a unique perspective to the intersection of law and technology. Outside of work, Khurram enjoys spending time with family and friends.

Artificial intelligence is changing how cybersecurity teams detect and respond to threats. What once required manual monitoring has evolved into an adaptive solution that uses predictive modeling to identify risks sooner. While AI can strengthen security defenses, it also raises questions about accuracy and the need for human oversight.

For legal and security teams working in fast-moving sectors like blockchain, AI offers efficiency yet also introduces new risks. Large language models (LLMs) can help general counsels generate contracts and prepare for negotiations, yet they require human oversight to spot and correct errors. That's why companies need to develop clear playbooks, train teams, and implement a continuous review process to ensure responsible AI use. For security teams, the same principle applies. While predictive AI tools can identify threats earlier, security teams should also test their incident response readiness through tabletop exercises and encourage employees to adopt a don't trust, verify" mindset to guard against threats like deepfakes.

In this episode of She Said Privacy/He Said Security, Jodi and Justin Daniels talk with Khurram Chhipa, General Counsel at Halborn, about how AI is transforming cybersecurity. Khurram explains how AI is reshaping threat detection, why human oversight is essential when using AI in legal and security contexts, and provides practical strategies for implementing safeguards. He also describes the growing AI arms race and its impact on cybersecurity, and he provides tips on how companies can mitigate AI deepfake threats through custom training and implementing advanced security measures.

Mark Weinstein is a successful tech entrepreneur, board member, and consultant, and one of the visionary inventors of social networking. He is the author of Restoring Our Sanity Online (Wiley, 2025), a book endorsed by Sir Tim Berners-Lee and Steve Wozniak. Mark is the Founder of MeWe, the first social network with a Privacy Bill of Rights, which grew to over 20 million members. He also founded SuperFamily.com and SuperFriends.com, early social networks recognized by PC Magazine as "Top 100" sites.

He is an inventor of 15 groundbreaking digital advertising patents. Mark has delivered the landmark TED Talk, "The Rise of Surveillance Capitalism." He is frequently interviewed and published in major media outlets around the world.

Beyond his entrepreneurial achievements, Mark has chaired the New Mexico Accountancy Board and served as an Adjunct Marketing Professor at the University of New Mexico. He holds an MBA from UCLA's Anderson School of Management.

The internet began as a way to connect family, friends, and communities. Over time, platforms shifted towards surveillance capitalism, where users' personal information can be monetized and people can be targeted and even manipulated. Social media and AI now shape what people see, think, and buy, while algorithms quietly learn how to influence our choices. As technology advances, how can companies and individuals alike protect privacy and rebuild trust in the systems that connect us?

As one of the pioneers of social networking, Mark Weinstein has seen this transformation firsthand. Early models were built around community and connection, while later models monetized personal information for targeting and profit. The next phase focuses on stronger privacy controls, data portability, and user choice. Building safer digital experiences means companies need to avoid unnecessary data collection and manipulative design tactics, and to communicate transparently about how personal information is used and shared. Individuals can also play a role by supporting user ID verification to make social media safer and by teaching children critical thinking skills to help them combat misinformation and manipulation online.

In this episode of She Said Privacy/He Said Security, Jodi and Justin Daniels chat with Mark Weinstein, tech entrepreneur, author, board member, and consultant, about rethinking privacy and control in the digital age. Mark reflects on the lessons learned from early social network models and discusses the evolution of the internet from connection-driven communities to surveillance capitalism, explaining how current models exploit user data. He explores his vision for Web4 and its new approach centered on data ownership and portability. He also offers practical advice for protecting children from online harms and the importance of fostering critical thinking in the age of AI.

Lane Blumenfeld is the Chief Legal Officer for Data Driven Holdings (DDH). Through its portfolio companies, headed by TEAM VELOCITY, DDH has become a market leader of data-powered technology and marketing solutions for the automotive industry. Lane was named a Top 50 Corporate Counsel by OnCon. Lane holds a JD from Yale Law School, an MA in international affairs from the Johns Hopkins University School of Advanced International Studies (SAIS), and a BA magna cum laude from Cornell University.

The pressure on companies to deliver faster, more personalized digital experiences often conflicts with their privacy and security obligations. General counsels sit at the center of this tension, balancing the business value of personal data with the need to protect it. That's why their involvement early in product development is essential. Working with product and engineering teams from the start allows legal teams to build safeguards into design, before products and services reach customers. So, how can companies find the right balance without compromising privacy and security?

AI also adds a new layer of complexity. As companies use it to analyze data, refine customer targeting, and generate marketing content, legal teams and general counsels are adapting to evolving regulations. While clean, reliable data is essential, general counsels need to evaluate accuracy and bias to ensure responsible use. Even as AI advances, fundamental privacy and security principles still apply. That's why it's important for organizations to take ownership of their privacy practices, especially when it comes to privacy notices and vendor relationships. Companies shouldn't depend on generic privacy notices or third-party templates that fail to reflect their actual data handling practices. Vendor contracts need equal attention, with privacy and cybersecurity provisions that mirror company commitments to consumers, since one vendor's mistake can create significant risk.

In this episode of She Said Privacy/He Said Security, Jodi and Justin Daniels talk with Lane Blumenfeld, Chief Legal Officer at Data Driven Holdings, about how general counsels can balance innovation with privacy and security. Lane explains how early legal involvement helps embed privacy and security into product design. He emphasizes that clear, accurate privacy notices and well-structured vendor contracts are essential for reducing privacy and security risks and maintaining accountability. And, as AI reshapes compliance obligations, Lane highlights the need for defined ownership across legal, product, and vendor teams and why companies sometimes need to walk away from vendors that expose them to excessive risk.