New York Data Protection & Security Summit 2025

As AI becomes more deeply embedded in enterprise workflows, the security of training and operational data is paramount. In this session, Keavy shares practical strategies for ensuring that data used in AI systems is protected from ingestion through to deployment—without stalling innovation.

• Embedding data protection and classification early in the AI development lifecycle
• Securing data pipelines and access controls for sensitive training datasets
• Preventing data leakage, prompt injection, and model inversion attacks
• Building internal standards for responsible AI data handling and governance

This session will explore how businesses can safeguard sensitive data in the AI era. Attendees will learn about strategies to reduce data risk across operations, navigate the evolving landscape of data protection regulations, and stay ahead of emerging threats.

• Understanding the impact of AI on data security and emerging cyber threats
• Strategies for reducing data risk and protecting sensitive information
• Leveraging advanced data security solutions to stay ahead of threats
• Building a proactive security posture to protect against future challenges

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As global data transfer rules tighten, businesses must navigate complex regulations to ensure secure and compliant data flows. In this session, we’ll dive into the challenges surrounding cross-border data transfers and the evolving US privacy regulations, such as the CCPA, CPRA, and the proposed ADPPA.

• Addressing the complexities of cross-border data transfers under the EU-US Data Privacy Framework and other international regulations
• Managing data privacy compliance within the US, including the CCPA, CPRA, and emerging regulations
• Implementing strategies to meet global compliance while maintaining operational flexibility
• Leveraging technology, including AI, to stay ahead of evolving cross-border data laws

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An interactive session where attendees collaborate to handle a simulated data breach, focusing on immediate response, communication, and mitigation strategies.

In this session, you’ll hear how one organisation overhauled its data access strategy to support faster analytics and collaboration while maintaining strict control over sensitive information and minimising regulatory risk.

• Built a tiered data access model aligned with sensitivity and business needs
• Used metadata tagging and classification to drive smarter governance
• Integrated privacy checks and consent validation into self-service data platforms
• Reduced incident response time by improving data lineage and auditability

Understanding how data moves, changes, and is accessed across complex systems is critical—but nearly impossible to do manually. In this session, a software partner shares how they helped an enterprise client implement AI-driven observability to surface patterns, flag anomalies, and make smarter security and compliance decisions.

• Deployed AI to baseline normal data access and usage across environments
• Identified risky behavior and anomalies without relying on static rules
• Streamlined incident triage through contextual, real-time data insights
• Enabled continuous compliance by linking AI observability to policy enforcement

This panel explores how to build trust while delivering new digital experiences, navigate evolving regulatory environments, and turn data protection into a business enabler.

• How can teams protect personal data without slowing down digital delivery?
• What does effective “privacy by design” look like in real-world innovation?
• How can privacy and security be positioned as value drivers, not just compliance tasks?
• What strategies help maintain customer trust as data usage becomes more complex?

Delegates will chose from a list of pertinent peer-to-peer discussion topics focussing on evolving and emerging trends, techniques and technologies

As enterprise data environments grow more distributed, maintaining strong data hygiene is essential to preventing exposure and ensuring compliance. This session offers practical approaches for identifying weak points, reinforcing governance, and embedding secure data practices into day-to-day operations.

• Identify and address common breakdowns in data hygiene practices
• Strengthen access controls to minimize overexposure across environments
• Automate routine governance to reduce manual oversight gaps
• Embed data protection into systems, workflows, and culture

In this session, we’ll take a live pulse of the room on six big-picture questions. The results will drive a candid, expert-led discussion on what they reveal about where we are — and where we’re heading.

• In today’s environment, what should be the primary purpose of the security function?
• What’s the most effective way to influence company-wide behaviour change around data protection?
• Is AI the silver bullet for protecting our data moving forward?
• What's the biggest driver behind current data protection investments?
• Where should security leaders should spend more time and money?

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