Best Advanced Threat Protection (ATP) Software for Progress DataDirect

Compare the Top Advanced Threat Protection (ATP) Software that integrates with Progress DataDirect as of December 2025

This a list of Advanced Threat Protection (ATP) software that integrates with Progress DataDirect. Use the filters on the left to add additional filters for products that have integrations with Progress DataDirect. View the products that work with Progress DataDirect in the table below.

What is Advanced Threat Protection (ATP) Software for Progress DataDirect?

Advanced threat protection (ATP) software is designed to detect, prevent, and respond to sophisticated cyber threats in real-time. It employs advanced techniques such as machine learning, behavioral analysis, and threat intelligence to identify and mitigate potential security risks. The software offers comprehensive protection across various endpoints, networks, and cloud environments, ensuring a multi-layered defense strategy. It also provides detailed reporting and analytics, enabling organizations to understand threat patterns and improve their security posture. By integrating these capabilities, advanced threat protection software helps organizations safeguard sensitive data, maintain regulatory compliance, and enhance overall cybersecurity resilience. Compare and read user reviews of the best Advanced Threat Protection (ATP) software for Progress DataDirect currently available using the table below. This list is updated regularly.

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    Azure Data Lake Storage
    Eliminate data silos with a single storage platform. Optimize costs with tiered storage and policy management. Authenticate data using Azure Active Directory (Azure AD) and role-based access control (RBAC). And help protect data with security features like encryption at rest and advanced threat protection. Highly secure with flexible mechanisms for protection across data access, encryption, and network-level control. Single storage platform for ingestion, processing, and visualization that supports the most common analytics frameworks. Cost optimization via independent scaling of storage and compute, lifecycle policy management, and object-level tiering. Meet any capacity requirements and manage data with ease, with the Azure global infrastructure. Run large-scale analytics queries at consistently high performance.
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