AI tools are accelerating how employees create, access, and share data — while introducing new and dangerous paths for sensitive data exposure. Traditional data protection approaches are too fragmented and reactive for this new reality. Security teams need a simpler, smarter way to discover sensitive data, understand exposure, and enforce adaptive controls that defend data from evolving risks.  

Join this Zscaler session to see how the Zscaler Data Security Platform helps security teams unify data discovery, risk assessment, and real-time protection — and learn how to:  

- Modernize data protection from discovery to adaptive defense

- Use AI to accelerate data discovery and classification

- Make DSPM the foundation for reducing data universe risk

- Deliver real-time, inline protection everywhere data moves

- Reduce tool sprawl, complexity, and cost with a unified platform

Multi-cloud promises flexibility—but it also multiplies policy models, identity systems, logging formats, and misconfiguration risk. This panel focuses on establishing cross-cloud consistency without forcing “lowest common denominator” security: standardizing baseline controls, designing reference architectures, and using policy-as-code and templates to make secure defaults repeatable. Panelists will share what to centralize, what to keep cloud-native, and how to keep governance from becoming a release blocker.

Cloud object storage, network shares, and application uploads have become silent entry points for malware, often scanned too late or not at all. This session breaks down how to catch malicious files the moment they land, using serverless, event-driven scanning across AWS, Azure, and GCP object storage (storage events trigger Lambda-style functions that flag and quarantine threats automatically). It also covers scanning application uploads in real time via SDK integrations (Python, Java, JavaScript, Go, CLI), and how to extend protection to on-premises and hybrid storage, including NFS, SMB, ICAP, and NetApp, through a virtual appliance or an auto-scaling Kubernetes-based scanner for high-volume environments. By the end, you’ll have a clear picture of where file-based threats typically slip through, and the architectural options available for closing those gaps across cloud and on-premises environments.

Unified visibility is only valuable if it changes outcomes. This panel explores how to turn cloud posture management into real-time risk reduction: prioritizing misconfigurations by exposure and exploitability, connecting posture issues to attack paths, and validating remediation. Panelists will discuss continuous monitoring patterns, reducing alert fatigue, and integrating posture signals with vulnerability management, identity risk, and threat intelligence so teams can focus on what attackers can actually use.

Most cloud breaches aren’t exotic—they’re identity and configuration failures that expose data or grant excessive access. This panel tackles the fundamentals that matter most in multi-cloud: identity posture (least privilege, token hygiene, workload identities), data controls (classification, encryption, key management), and workload security (runtime monitoring, segmentation, supply chain hygiene). Panelists will share proven patterns for reducing blast radius and detecting misuse early—across workloads and data wherever they reside.