Protection Strategies From Policy To Perimeter

As AI transforms how data is created, accessed, and shared, traditional definitions of data loss prevention (DLP) are no longer sufficient. This session reexamines DLP through the lens of modern AI-driven workflows, highlighting new vectors for data exfiltration and the limitations of legacy approaches. Learn how organizations are redefining DLP with contextual awareness, real-time policy enforcement, and AI-native protections to safeguard sensitive information in an era of accelerated innovation.

Fostering a security-first culture is essential at every level of the organization. This session explores how organizations are embedding data security measures into daily operations—from executive decision-making in the boardroom to frontline practices in business units. Discover strategies for aligning leadership, training employees, and reinforcing behaviors that collectively reduce risk and strengthen organizational resilience.

Insider threats remain one of the most difficult security challenges, often bypassing traditional perimeter defenses. This session explores practical strategies for identifying, managing, and mitigating insider risks—whether malicious or inadvertent. Learn how organizations can balance trust and control by cultivating a risk-aware culture, deploying behavior analytics, and implementing data-centric policies that deter internal misuse while enabling productivity.

As financial institutions adopt AI to drive innovation and efficiency, the stakes for protecting sensitive customer data have never been higher. Compliance with regulations is only the starting point—true resilience requires going beyond the checkbox to proactively secure data against evolving threats. This session explores how AI reshapes risk, from insider misuse to third-party exposure, and highlights strategies for embedding security into every stage of AI adoption. Attendees will learn how leading organizations are building trust, reducing risk, and strengthening defenses to safeguard financial data in the AI era.

The rapid rise of generative AI tools in the workplace has given way to a new challenge: Shadow AI. This session explores how unsanctioned AI usage introduces data security, compliance, and governance risks—often outside the visibility of IT. Learn how enterprises are striking a balance between enabling innovation and maintaining control by implementing guardrails, monitoring usage, and fostering transparency across business units.