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ManageEngine Releases EventLog Analyzer Version 10

ManageEngine announced the general availability of EventLog Analyzer version 10, its log analysis software.

This version brings with it improved scalability, log collection and processing rates; enhanced reports; and pattern-based alerting. In turn, EventLog Analyzer now helps security admins gain better insight about their security frameworks without any time delays and build possible attack patterns to proactively mitigate security threats.

"For most large enterprises, the sheer volume of the log information generated makes it quite difficult to determine the attacks, security loopholes and vulnerabilities that require immediate action," said Chenthil Kumaran, Product Manager, ManageEngine. "With EventLog Analyzer version 10, there's a quantum leap in the log collection and processing rate which is sure to give security administrators the edge over security threats."

Using EventLog Analyzer v10, security administrators can process log data at 20,000 logs per second, which is a 10x improvement from the previous mark. The peak event handling capacity is also improved to 25,000 logs per second. EventLog Analyzer features a distributed architecture that is, in effect, infinitely scalable and can manage any number of log sources, thus making it the best choice for organizations of any size. With the growth of IT infrastructure, NOC and SOC administrators can simply add more managed servers to handle the load.

EventLog Analyzer v10 enhances its reporting console and real-time event response system with 1,000+ ready-to-run reports and 500+ predefined alert criteria, respectively.

- Enhanced reporting console: The reporting console presents the automated reports with an intuitive graphical dashboard that allows users to quickly draw attention to the key log information and drill down into raw log data. The predefined reports for security auditing, user activity monitoring, account management and change management, threat detection and more help meet the security and compliance goals of the organization.

- Enhanced real-time event response system: The 500+ predefined alert criteria are meticulously drafted and grouped to all but eliminate the need to create a user-defined alert pattern for regular activities. The alert criteria also reduce the time for setting up an alert profile, thus increasing the security administrator's operational efficiency.

With the new correlation rule builder, EventLog Analyzer v10 allows users to create as many attack patterns as possible, such as patterns for password-based attacks, application-based attacks and much more. Security administrators can leverage this pattern-based alerting system and get notified in real time via SMS and email to proactively react to security threats. The correlation rule builder also allows users to specify threshold values for individual rules that are correlated, reducing false positives.

EventLog Analyzer v10 is immediately available.

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ManageEngine Releases EventLog Analyzer Version 10

ManageEngine announced the general availability of EventLog Analyzer version 10, its log analysis software.

This version brings with it improved scalability, log collection and processing rates; enhanced reports; and pattern-based alerting. In turn, EventLog Analyzer now helps security admins gain better insight about their security frameworks without any time delays and build possible attack patterns to proactively mitigate security threats.

"For most large enterprises, the sheer volume of the log information generated makes it quite difficult to determine the attacks, security loopholes and vulnerabilities that require immediate action," said Chenthil Kumaran, Product Manager, ManageEngine. "With EventLog Analyzer version 10, there's a quantum leap in the log collection and processing rate which is sure to give security administrators the edge over security threats."

Using EventLog Analyzer v10, security administrators can process log data at 20,000 logs per second, which is a 10x improvement from the previous mark. The peak event handling capacity is also improved to 25,000 logs per second. EventLog Analyzer features a distributed architecture that is, in effect, infinitely scalable and can manage any number of log sources, thus making it the best choice for organizations of any size. With the growth of IT infrastructure, NOC and SOC administrators can simply add more managed servers to handle the load.

EventLog Analyzer v10 enhances its reporting console and real-time event response system with 1,000+ ready-to-run reports and 500+ predefined alert criteria, respectively.

- Enhanced reporting console: The reporting console presents the automated reports with an intuitive graphical dashboard that allows users to quickly draw attention to the key log information and drill down into raw log data. The predefined reports for security auditing, user activity monitoring, account management and change management, threat detection and more help meet the security and compliance goals of the organization.

- Enhanced real-time event response system: The 500+ predefined alert criteria are meticulously drafted and grouped to all but eliminate the need to create a user-defined alert pattern for regular activities. The alert criteria also reduce the time for setting up an alert profile, thus increasing the security administrator's operational efficiency.

With the new correlation rule builder, EventLog Analyzer v10 allows users to create as many attack patterns as possible, such as patterns for password-based attacks, application-based attacks and much more. Security administrators can leverage this pattern-based alerting system and get notified in real time via SMS and email to proactively react to security threats. The correlation rule builder also allows users to specify threshold values for individual rules that are correlated, reducing false positives.

EventLog Analyzer v10 is immediately available.

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Enterprises today operate in a real-time environment where uninterrupted access to trusted data has become a baseline expectation for users, applications and automated systems. Traditional DataOps models, built on manual effort and human triage, cannot keep pace with this always active demand. AI agents are emerging as the operational backbone, ensuring consistent data availability, reinforcing trustworthiness and enabling a level of scale that manual processes cannot achieve ...

For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...

Cloud migration was supposed to be a one-way door. For most enterprises, it turns out it isn't. Cloud data repatriation is a real and growing trend. A new survey ... finds that 89% of organizations plan to expand their on-premises infrastructure footprint over the next two years — and 75% have already moved at least some workloads back from public cloud in the past 24 months. The findings point to a broad rethinking of where data belongs ...

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For years, DevOps teams operated under a simple assumption: collect enough telemetry, and you can find and fix any problem. That assumption is breaking down. Modern enterprises now operate across microservices, hybrid cloud environments, APIs, Kubernetes, and highly automated delivery pipelines. Releases happen continuously, dependencies shift constantly, and failures spread faster than teams can diagnose them ...

New Relic surveyed IT and engineering leaders from the media and entertainment (M&E) sector to understand what's working — and where challenges persist with their observability practices. The findings reveal how M&E organizations are navigating rising platform complexity, audience expectations, and AI-driven change. Below are five takeaways that stand out ...

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In cloud-native systems, scaling is often as simple as moving a slider. For on-premise databases, the stakes are different. Over-provisioning hardware is expensive. Under-provisioning leads to performance bottlenecks that are difficult to fix once the equipment is in the rack ...