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Our blog provides the latest insights on topics around data, privacy, and security and helpful resources to simplify data and information governance for your company.


Webinar Audio - Conversation with David Zetoony and Priya Keshav.
In this episode, Meru Data's Priya Keshav and privacy expert David A. Zetoony explore how to effectively conduct PIAs and DPIAs. They discuss best practices, regulatory requirements, risk mitigation, automation challenges, and tips for creating robust, defensible documentation. Whether you're new to privacy assessments or refining your current process, this conversation offers practical guidance to improve your approach.
Jul 221 min read


Navigating Privacy and other Risks: The Challenges of Agentic AI in Retail
Agentic AI is transforming retail with personalized shopping, smart inventory, and dynamic pricing—but it brings major challenges. From data privacy and cybersecurity risks to ethical concerns and system integration, retailers must address these issues to harness AI’s full potential responsibly.
Jun 173 min read


Use of Cameras in Retail Locations
Retailers are increasingly using cameras for training, safety, and theft prevention, but these systems raise privacy concerns. Regulators like CNIL and the UK ICO stress the need for GDPR compliance, including transparency, data minimization, and clear safeguards. Augmented cameras, especially at self-checkouts, must be used carefully, with privacy-respecting practices and proper legal justifications.
Jun 163 min read


Webinar Audio - Conversation with Priya Keshav.
Explore how to use generative AI safely and effectively in business. Meru Data CEO Priya Keshav discusses AI risks, regulations, and governance strategies to ensure compliance. Approved by the IAPP for CPE credits.
May 211 min read


Takeaways from key cases of Generative AI lawsuits
As generative AI becomes integral to business, legal challenges are emerging. This article explores major lawsuits—against OpenAI, Microsoft, GitHub, and Stability AI—highlighting the need for transparency, legal data use, and respecting copyrights. These cases offer key lessons for companies integrating AI responsibly.
May 154 min read
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