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As cybersecurity takes the main stage, organizations face a significant challenge: how do you strike a balance between maintaining a high level of security and ensuring employees have enough data access to perform their jobs properly? Role-based access control (RBAC) is a solution that can support both of these goals, even as organizations are quickly scaling.

Man-in-the-middle attacks are elegantly mitigated in TLS, with TLS1.3 introducing more robust encryption protocols and a streamlined handshake process that significantly reduces the vulnerability to these types of attacks. By employing stricter encryption standards and eliminating outdated cipher suites, TLS 1.3 enhances security measures to effectively counter potential interception and unauthorised data decryption.

Databricks helps companies process large-scale data, and Databricks data masking ensures high-quality, compliant data. If your organization relies on data for AI/ML or analytics, it’s essential to ensure you are implementing a robust, compliant data masking strategy. Let’s explore how data masking works natively in Databricks. Then, we’ll go over challenges teams might run into in using native masking capabilities.

Achieving cyber resilience is a constant challenge for even the largest and most experienced organizations and IT leadership teams. Studies, including one from our partner Veeam, show +75% of organizations experienced a ransomware attack in the past year. Those that didn’t are well-aware they may be next.

Cloud computing has reshaped the digital landscape, offering unparalleled scalability, flexibility, and cost-effectiveness to businesses worldwide. Imagine entrusting your most valuable possessions to a high-tech, automated storage facility—accessible anytime, anywhere, but also potentially vulnerable if not adequately protected. This analogy perfectly encapsulates cloud computing: convenient, yet requiring robust security measures to guard against threats.

The excitement around large language models (LLMs) and agentic AI is justified. These systems can summarize, generate, reason, and even take actions across APIs — all with minimal human input. However, as enterprises race to integrate LLMs into real-world workflows — especially when those enterprises operate in regulated environments and/or deal in sensitive data — one fundamental question looms large.

Microsoft Fabric combines data engineering, warehousing, real-time analytics, and BI into a single environment to help organizations streamline data workflows and derive insights from large, diverse datasets. For teams leveraging Fabric, data masking is an essential method for safeguarding sensitive data, ensuring compliance, and maintaining data quality throughout analytics pipelines.

Basic Authentication is a simple way to secure REST APIs using a username and password. Here's what you need to know.