Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

With the help of Netskope, BDO is shifting toward a secure by design approach built on zero trust principles, dispensing with a simple "block and coach" model of old.

Modern enterprise solutions—ranging from cloud data and power platforms to agentic AI and API connections—require rigorous oversight. Every platform integration must be evaluated through the lenses of risk, data compliance, and privacy to ensure secure operations. Netskope provides the necessary visibility and control for all data paths, including APIs and cloud-based AI platforms, helping Embecta enforce the data compliance and privacy standards required when integrating disparate applications.

Organizations like Renesas face critical risks when utilizing AI, as these platforms often incorporate user-submitted data into their models. Significant security incidents have occurred where sensitive source code, firmware, and proprietary designs were inadvertently made public after being uploaded for testing. A major business risk involves the potential loss of intellectual property, which can directly impact an organization's primary revenue streams. Beyond data leakage, AI presents risks through "poisoning" and the fact that AI-generated output is frequently inaccurate.

You can’t control what you can't see. Currys is fixing this, using data analytics and data stitching to correlate information across various endpoints to create a holistic view of its cloud environment. Netskope provides the core technology and DLP engine that powers Currys data protection strategy. Together, they built a mature data loss prevention (DLP) strategy, a model which is user-centric, allowing the business to drill into specific user behaviors rather than just focusing on applications.

Data lineage is the digital breadcrumb trail that tracks your data's journey from origin to final destination, so a data security alert never means guessing where data came from or what happened to it. In this Ask SME Anything episode, Netskope expert Ankur Chadda explains the fundamentals of data lineage and why it helps you defend proactively instead of reacting to incidents.

This demo showcases how Netskope helps you achieve Universal Zero Trust Network Access (UZTNA). UZTNA is a unified security architecture that replaces fragmented VPN and NAC by applying consistent, context-driven Zero Trust access policies to all users and devices—whether they are connecting locally or through the cloud.

This is a demo covering how Netskope provides full visibility, control, and protection for Gen AI app usage.

This is a demo of the Netskope One Agentic Broker, which provides unified visibility and real-time protection for the autonomous AI ecosystem by decoding and securing Model Context Protocol (MCP) traffic between AI agents and data sources.

This is a demo of Netskope One AI Guardrails and the Netskope One AI Gateway. Netskope One AI Guardrails provides real-time content moderation for every interaction, securing the enterprise against emerging AI-specific threats including prompt injection and jailbreak attempts, and unsafe use. Netskope One AI Gateway secures the API traffic fueling your AI-powered applications. By centralizing authentication, traffic management, and content inspection between private apps and LLMs, we ensure autonomous agentic data flows remain governed and secure.

This is a demo of Netskope One AI Red Teaming Proactively identify and address vulnerabilities in private AI deployments. Automate adversarial simulations to find and fix vulnerabilities, to ensure your AI is resilient and production-ready before it reaches your users.