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In our latest executive brief at DataSense Analytics, "DATA LOSS RISKS IN 2026: Protecting Operational Intelligence in an AI-Driven World", Richard Roberts breaks down: • The Three Pillars of Visibility: How mapping where your valuables are, who has the keys, and how they are used changes your risk profile. • The Macro Perspective: Navigating multi-directional threats from external cyberattacks and complex compliance demands to internal insider risks and emerging AI vulnerabilities. • The Five Foundations of Modern Data Protection: Moving from reactive security to active control through data classification, DLP tools, insider monitoring, dynamic controls, and robust AI governance. Modern organisations cannot govern what they cannot see. It is time to transform fragmented operational data into actionable intelligence, allowing your teams to identify risks earlier and strengthen governance. Read the LinkedIn article or get the full brief in the link below to see how we are helping businesses achieve stronger security outcomes across existing enterprise systems. 👉 https://lnkd.in/dwTGbzgn #DataProtection #CyberSecurity #OperationalIntelligence #AIGovernance #DataLossPrevention #DataSenseAnalytics

❕ Data protection has become a serious business survival issue. ❕ Today, sensitive information moves constantly across cloud platforms, remote devices, third-party services, and AI tools. This creates speed and flexibility, but it also increases the risk of data leaks, breaches, compliance failures, and costly business disruption. Many data loss incidents do not start with advanced attacks. They often begin with everyday gaps: weak access controls, phishing, misconfigured systems, files shared too widely, or sensitive information being used without the right guardrails. The organisations that stay ahead will be the ones that treat data protection as a proactive, everyday discipline and not something they only address after an incident. That means knowing where sensitive data lives, who has access to it, how it is being used, and what controls are in place to prevent exposure before damage is done. In a world of cloud adoption, remote work, and AI-driven productivity, the question is no longer whether your data will be targeted. ❔ The question is whether your business is prepared. ❔ #DataProtection #Cybersecurity #DataLossPrevention #DataGovernance #InformationSecurity #AIReady #BusinessRisk #DataSenseAnalytics

Success in data analytics requires more than just tools, it requires a clear vision. As CEO, Louis Steyn leads DataSense Analytics with a focus on transforming complex data into a competitive advantage for our clients. Under his leadership, we ensure that every solution we deliver is strategically aligned with your long-term business goals.

Operational efficiency is the backbone of a sustainable security strategy. Jannie Griesel, our Chief Financial Officer, brings a wealth of experience as a Chartered Accountant and Management Accountant to the team. Jannie ensures that our financial operations and service models remain robust, transparent, and focused on delivering maximum value to our partners.

Many businesses have the right tools, but lack the dedicated resources to monitor them 24/7. DataSense Analytics MxDR is custom-built for the Microsoft ecosystem, providing human-validated detection across your entire environment, from Teams to Azure. We don't just find threats; we contain them. #MxDR #MicrosoftSecurity #CyberSecurity #DataSenseAnalytics

Most organisations use Microsoft Sentinel to see threats, but few have the resources to act on them in real-time. DataSense Analytics evolves your security stack from a passive monitor into an active, automated shield. Using Agentic AI, we help you stop reacting to alerts and start predicting risks, ensuring threats are auto-resolved before they impact your operations. It’s time to let your security work as fast as your business.