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Logentries Introduces DataHub

Logentries announced the DataHub for enterprise-level security, compliance and data protection requirements across large and growing organizations. The new DataHub component provides enterprise customers with the ability to filter and obfuscate sensitive data from log files before leaving their network; back-up copies of log files locally; and create redundant copies of log data in cloud storage prior to sending logs into the Logentries service.

Heavily regulated enterprise organizations today are required to prioritize security and compliance within their IT environment, and need flexibility to filter private information out of their logs while also accessing the valuable data that is held within their logs. While historically this meant they did not have the option for cloud-based services, the Logentries DataHub is offering a cloud-based service for log management real-time analytics designed to enable security, privacy, and sensitive data protection. By automatically detecting and tracking specific patterns, numbers, or fields within log files and offering one-way hash coding, the DataHub provides an additional layer of security and protection and assures that no sensitive log data leaves the network. Additionally, by monitoring important machine data in real-time, customers always know about system and user activity that may be an indicator of future security concerns.

Logentries enterprise customers are using the DataHub add-on to:

- Scrub and obfuscate sensitive PII data from their logs before sending to Logentries so that no sensitive data leaves the user’s network.

- Centralize log information from network devices and firewalls that don’t support secure transport of log data; and then send it securely to a cloud service.

- Automatically back up log data locally to protect against network connectivity issues.

- Send unlimited amounts of data to cloud storage (e.g. AWS S3) for additional redundancy back-up, and ingest it on-demand using the Logentries Unlimited logging technology.

- Receive real-time notifications about system activity, user behavior, and suspicious activity.

- Increase reliability and assurance with 99.99% uptime SLA and access to log data.

“We are excited to offer customers in heavily-regulated industries an opportunity they’ve never had before to log unlimited amounts of data in a secure and protected cloud-based environment,” said Trevor Parsons, Chief Scientist and Co-founder, Logentries. “For the first time, these customers can benefit from the ease of use and cost savings of the cloud, and still be confident about meeting security and compliance requirements.”

The cloud-based Logentries service collects and pre-processes log events in real-time for on-demand analysis, alerting and visualization. With custom tagging and filtering, users can correlate security and performance issues with broader infrastructure activity including application usage, server metrics and user behavior.

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Logentries Introduces DataHub

Logentries announced the DataHub for enterprise-level security, compliance and data protection requirements across large and growing organizations. The new DataHub component provides enterprise customers with the ability to filter and obfuscate sensitive data from log files before leaving their network; back-up copies of log files locally; and create redundant copies of log data in cloud storage prior to sending logs into the Logentries service.

Heavily regulated enterprise organizations today are required to prioritize security and compliance within their IT environment, and need flexibility to filter private information out of their logs while also accessing the valuable data that is held within their logs. While historically this meant they did not have the option for cloud-based services, the Logentries DataHub is offering a cloud-based service for log management real-time analytics designed to enable security, privacy, and sensitive data protection. By automatically detecting and tracking specific patterns, numbers, or fields within log files and offering one-way hash coding, the DataHub provides an additional layer of security and protection and assures that no sensitive log data leaves the network. Additionally, by monitoring important machine data in real-time, customers always know about system and user activity that may be an indicator of future security concerns.

Logentries enterprise customers are using the DataHub add-on to:

- Scrub and obfuscate sensitive PII data from their logs before sending to Logentries so that no sensitive data leaves the user’s network.

- Centralize log information from network devices and firewalls that don’t support secure transport of log data; and then send it securely to a cloud service.

- Automatically back up log data locally to protect against network connectivity issues.

- Send unlimited amounts of data to cloud storage (e.g. AWS S3) for additional redundancy back-up, and ingest it on-demand using the Logentries Unlimited logging technology.

- Receive real-time notifications about system activity, user behavior, and suspicious activity.

- Increase reliability and assurance with 99.99% uptime SLA and access to log data.

“We are excited to offer customers in heavily-regulated industries an opportunity they’ve never had before to log unlimited amounts of data in a secure and protected cloud-based environment,” said Trevor Parsons, Chief Scientist and Co-founder, Logentries. “For the first time, these customers can benefit from the ease of use and cost savings of the cloud, and still be confident about meeting security and compliance requirements.”

The cloud-based Logentries service collects and pre-processes log events in real-time for on-demand analysis, alerting and visualization. With custom tagging and filtering, users can correlate security and performance issues with broader infrastructure activity including application usage, server metrics and user behavior.

The Latest

80% of respondents agree that the IT role is shifting from operators to orchestrators, according to the 2026 IT Trends Report: The Human Side of Autonomous IT from SolarWinds ...

40% of organizations deploying AI will implement dedicated AI observability tools by 2028 to monitor model performance, bias and outputs, according to Gartner ...

Until AI-powered engineering tools have live visibility of how code behaves at runtime, they cannot be trusted to autonomously ensure reliable systems, according to the State of AI-Powered Engineering Report 2026 report from Lightrun. The report reveals that a major volume of manual work is required when AI-generated code is deployed: 43% of AI-generated code requires manual debugging in production, even after passing QA or staging tests. Furthermore, an average of three manual redeploy cycles are required to verify a single AI-suggested code fix in production ...

Many organizations describe AI as strategic, but they do not manage it strategically. When AI plans are disconnected from strategy, detached from organizational learning, and protected from serious assumptions testing, the problem is no longer technical immaturity; it is a failure of management discipline ... Executives too often tell organizations to "use AI" before they define what AI is supposed to change. The problem deepens in organizations where strategy isn't well articulated in the first place ...

Across the enterprise technology landscape, a quiet crisis is playing out. Organizations have run hundreds, sometimes thousands, of generative AI pilots. Leadership has celebrated the proof of concept (POCs) ... Industry experience points to a sobering reality: only 5-10% of AI POCs that progress to the pilot stage successfully reach scaled production. The remaining 90% fail because the enterprise environment around them was never ready to absorb them, not the AI models ...

Today's modern systems are not what they once were. Organizations now rely on distributed systems, event-driven workflows, hybrid and multi-cloud environments and continuous delivery pipelines. While each adds flexibility, it also introduces new, often invisible failures. Development speed is no longer the primary bottleneck of innovation. Reliability is ...

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Technology leaders across the federal landscape are facing, and will continue to face, an uphill battle when it comes to fortifying their digital environments against hostile and persistent threat actors. On one hand, they are being asked to push digital transformation ... On the other hand, they are facing the fiscal uncertainty of continuing resolutions (CR) and government shutdowns looming near and far. In the face of these challenges, CIOs, CTOs, and CISOs must figure out how to modernize legacy systems and infrastructure while doing more with less and still defending against external and internal threats ...

Reliability is no longer proven by uptime alone, according to the The SRE Report 2026 from LogicMonitor. In the AI era, it is experienced through speed, consistency, and user trust, and increasingly judged by business impact. As digital services grow more complex and AI systems move into production, traditional monitoring approaches are struggling to keep pace, increasing the need for AI-first observability that spans applications, infrastructure, and the Internet ...

If AI is the engine of a modern organization, then data engineering is the road system beneath it. You can build the most powerful engine in the world, but without paved roads, traffic signals, and bridges that can support its weight, it will stall. In many enterprises, the engine is ready. The roads are not ...