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ManageEngine Advances Security Intelligence with Log Data for Third-Party Tools

ManageEngine announced a new API that enables third-party tools to access log data generated by EventLog Analyzer, its security information and event management (SIEM) solution.

Available immediately, the EventLog Analyzer API lets security administrators feed reams of normalized log data into any third-party application, including crowd-sourced threat intelligence solutions, vulnerability assessment platforms, business intelligence tools or even custom applications for advanced security intelligence and threat protection.

Though SIEM solutions have been offering provisions to import data from varied sources, such integrations are fraught with many limitations. In the absence of proper correlation and data processing, feeding terabytes of data to the SIEM solution will not offer the required protection. EventLog Analyzer shatters all these limitations by opening up its database for integration with any third-party application.

Security administrators can leverage this integration to bolster their security framework in such use cases as:

- Advanced threat mitigation – The normalized data from EventLog Analyzer could be fed into crowd-sourced advanced threat intelligence services, sandbox solutions or sophisticated vulnerability assessment platforms. These tools can associate EventLog Analyzer’s security data with the information they already possess and help mitigate emerging attacks, botnets, zero-day threats, phishing attacks, malware attacks and advanced persistent threats (APT).

- Location-based threat analysis – Integration with geolocation services could help enterprises gain geographic context to any event. This, in turn, helps pinpoint the country of origin and physical location of an application involved in an event. If the origin matches the countries commonly associated with APTs, suspicious traffic could be isolated for deeper analysis.

- Customized security views – Security managers could even create their own web applications and dashboards by extracting the data critical to their needs.

- Application performance tuning – Normalized data from EventLog Analyzer could be fed into modern business intelligence tools, which could help organizations understand the evolving threat landscape, assess risks and prepare mitigation strategy and an emergency response plan in the event of attack. The data could also help drill down to overall application performance issues and assess product usability and quality.

EventLog Analyzer provides Thrift IDL-based APIs which security administrators can use to pull all required data and achieve integration. The power of the API has been demonstrated through a Python-based client as the reference implementation.

EventLog Analyzer collects, normalizes, analyzes, correlates and stores voluminous logs from heterogeneous sources. Now, the API can provide actionable intelligence and help security admins trace, thwart and combat evolving threats.

The API is available immediately and works with EventLog Analyzer v 9.0. Users can submit a request to access the API, and the EventLog Analyzer technical support team will get in touch with them.

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ManageEngine Advances Security Intelligence with Log Data for Third-Party Tools

ManageEngine announced a new API that enables third-party tools to access log data generated by EventLog Analyzer, its security information and event management (SIEM) solution.

Available immediately, the EventLog Analyzer API lets security administrators feed reams of normalized log data into any third-party application, including crowd-sourced threat intelligence solutions, vulnerability assessment platforms, business intelligence tools or even custom applications for advanced security intelligence and threat protection.

Though SIEM solutions have been offering provisions to import data from varied sources, such integrations are fraught with many limitations. In the absence of proper correlation and data processing, feeding terabytes of data to the SIEM solution will not offer the required protection. EventLog Analyzer shatters all these limitations by opening up its database for integration with any third-party application.

Security administrators can leverage this integration to bolster their security framework in such use cases as:

- Advanced threat mitigation – The normalized data from EventLog Analyzer could be fed into crowd-sourced advanced threat intelligence services, sandbox solutions or sophisticated vulnerability assessment platforms. These tools can associate EventLog Analyzer’s security data with the information they already possess and help mitigate emerging attacks, botnets, zero-day threats, phishing attacks, malware attacks and advanced persistent threats (APT).

- Location-based threat analysis – Integration with geolocation services could help enterprises gain geographic context to any event. This, in turn, helps pinpoint the country of origin and physical location of an application involved in an event. If the origin matches the countries commonly associated with APTs, suspicious traffic could be isolated for deeper analysis.

- Customized security views – Security managers could even create their own web applications and dashboards by extracting the data critical to their needs.

- Application performance tuning – Normalized data from EventLog Analyzer could be fed into modern business intelligence tools, which could help organizations understand the evolving threat landscape, assess risks and prepare mitigation strategy and an emergency response plan in the event of attack. The data could also help drill down to overall application performance issues and assess product usability and quality.

EventLog Analyzer provides Thrift IDL-based APIs which security administrators can use to pull all required data and achieve integration. The power of the API has been demonstrated through a Python-based client as the reference implementation.

EventLog Analyzer collects, normalizes, analyzes, correlates and stores voluminous logs from heterogeneous sources. Now, the API can provide actionable intelligence and help security admins trace, thwart and combat evolving threats.

The API is available immediately and works with EventLog Analyzer v 9.0. Users can submit a request to access the API, and the EventLog Analyzer technical support team will get in touch with them.

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According to Auvik's 2025 IT Trends Report, 60% of IT professionals feel at least moderately burned out on the job, with 43% stating that their workload is contributing to work stress. At the same time, many IT professionals are naming AI and machine learning as key areas they'd most like to upskill ...

Businesses that face downtime or outages risk financial and reputational damage, as well as reducing partner, shareholder, and customer trust. One of the major challenges that enterprises face is implementing a robust business continuity plan. What's the solution? The answer may lie in disaster recovery tactics such as truly immutable storage and regular disaster recovery testing ...

IT spending is expected to jump nearly 10% in 2025, and organizations are now facing pressure to manage costs without slowing down critical functions like observability. To meet the challenge, leaders are turning to smarter, more cost effective business strategies. Enter stage right: OpenTelemetry, the missing piece of the puzzle that is no longer just an option but rather a strategic advantage ...

Amidst the threat of cyberhacks and data breaches, companies install several security measures to keep their business safely afloat. These measures aim to protect businesses, employees, and crucial data. Yet, employees perceive them as burdensome. Frustrated with complex logins, slow access, and constant security checks, workers decide to completely bypass all security set-ups ...

Image
Cloudbrink's Personal SASE services provide last-mile acceleration and reduction in latency

In MEAN TIME TO INSIGHT Episode 13, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses hybrid multi-cloud networking strategy ... 

In high-traffic environments, the sheer volume and unpredictable nature of network incidents can quickly overwhelm even the most skilled teams, hindering their ability to react swiftly and effectively, potentially impacting service availability and overall business performance. This is where closed-loop remediation comes into the picture: an IT management concept designed to address the escalating complexity of modern networks ...

In 2025, enterprise workflows are undergoing a seismic shift. Propelled by breakthroughs in generative AI (GenAI), large language models (LLMs), and natural language processing (NLP), a new paradigm is emerging — agentic AI. This technology is not just automating tasks; it's reimagining how organizations make decisions, engage customers, and operate at scale ...

In the early days of the cloud revolution, business leaders perceived cloud services as a means of sidelining IT organizations. IT was too slow, too expensive, or incapable of supporting new technologies. With a team of developers, line of business managers could deploy new applications and services in the cloud. IT has been fighting to retake control ever since. Today, IT is back in the driver's seat, according to new research by Enterprise Management Associates (EMA) ...

In today's fast-paced and increasingly complex network environments, Network Operations Centers (NOCs) are the backbone of ensuring continuous uptime, smooth service delivery, and rapid issue resolution. However, the challenges faced by NOC teams are only growing. In a recent study, 78% state network complexity has grown significantly over the last few years while 84% regularly learn about network issues from users. It is imperative we adopt a new approach to managing today's network experiences ...

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From growing reliance on FinOps teams to the increasing attention on artificial intelligence (AI), and software licensing, the Flexera 2025 State of the Cloud Report digs into how organizations are improving cloud spend efficiency, while tackling the complexities of emerging technologies ...