Tag: flowmon

Progress Flowmon 12.4 addresses the challenges in understanding the need for faster and more efficient data analysis. At Progress, our primary focus is to provide accurate and thorough network data insights to our customers. As our customers' networks grow, the volume of telemetry data expands exponentially. This growth, while beneficial, brings with it the challenge of increasingly longer search times through vast amounts of data. Progress Flowmon 12.4 has implemented IP Indexing, as identifying the activity of an IP address on a network is one of the most common Flowmon use cases for network administrators and cybersecurity teams.  Additional details of what’s new and improved in 12.4 are available on the Flowmon release blog.

Our development teams continue to improve Progress Flowmon. The latest update takes the core Flowmon product to version 12.4, and our Anomaly Detection System (ADS) becomes release 12.4. For Flowmon 12.4, we want to highlight its newest capability: IP Indexing.

In today’s rapidly evolving cyberthreat landscape, organizations require network detection solutions that help identify and mitigate threats before significant damage is done. Among the options available on the Network Detection and Response (NDR) market, Progress Flowmon Anomaly Detection System (ADS) stands out for its unparalleled ability to detect threats throughout every stage of an attack.

Artificial intelligence (AI) is seemingly everywhere in today’s tech landscape. The hype cycle is in full flow, especially regarding the use of large language models (LLM) for generative AI like OpenAI ChatGPT, Google Gemini and Anthropic Claude. Indeed, many tech companies are determined to add LLM into products where it sometimes seems tacked on. One use case where machine learning solutions, including LLMs and other AI techniques, are providing invaluable assistance to humans, is in cybersecurity defense.

IT professionals seek out solutions that provide in-depth visibility into their networks and streamline processes so they can more efficiently catch anomalies. A recent update to Progress Flowmon Anomaly Detection System (ADS) will address these common customer concerns. Read on for a closer look at how Flowmon ADS 12.3 improves your organization’s threat analyses and cybersecurity strategies.

We are happy to announce that Progress has teamed up with Veeam, a leader in data management and protection solutions. The new partnership between Progress and Veeam represents a significant step forward in cybersecurity. It marks a considerable advancement in data protection by merging the Flowmon AI-powered threat detection capabilities with the robust backup solution of Veeam. This empowers organizations to more effectively defend their invaluable digital assets.

Progress Flowmon is a core network monitoring and security tool. Confirming if it is up and running can mean the difference between responding to a data breach or overlooking such a critical event. Like any other critical system, it is a good practice to include the monitoring of Flowmon uptime, resource consumption and health in an IT infrastructure monitoring (ITIM) dashboard, such as Progress WhatsUp Gold. Like many other ITIM tools, WhatsUp Gold provides various remote monitoring capabilities, such as SNMP, SSH or REST API-based "active" (WhatsUp Gold initiated) monitors or "passive" (Flowmon-initiated) Syslog monitoring. Depending on your environment size, either the WhatsUp Gold Free edition (for smaller deployments) or a commercially licensed version (for larger environments) would suffice.

AI-powered Network Detection and Response (NDR) solutions have become a staple for identifying the subtle indicators of unknown threats, a crucial element in the constant battle against cyberattacks. While NDR excels in unveiling the shadows of the unfamiliar, it is the traditional signature-based Intrusion Detection Systems (IDS) enabling security teams to maximize protection and facilitate targeted responses, particularly when confronting well-known malware. In this article, we delve into the distinct benefits of both AI-driven NDR and conventional approaches. We will also unravel compelling reasons why the integration of these technologies are strategic imperatives in assisting to fortify cybersecurity defenses.

Endpoint protection has long been fundamental to cybersecurity. But in today’s evolving and expanding digital landscape, with endpoints spanning a wide variety of devices, is traditional endpoint security enough? The ongoing frequency of successful cyberattacks suggests not. Cloud proliferation, remote work and expanding system access add to the challenge. Can you truly trust users to keep their devices secure amidst this shifting landscape? And can augmenting endpoint security with additional tools, like Security Information and Event Management (SIEM) systems, enable reliable detection of threats? According to attack data and experience, your cybersecurity stack may require something extra. And that something is Network Detection and Response (NDR).