There is no escaping the discussion about how machine learning (ML) and AI systems will revolutionize how people and industries work. Most of this discussion needs to be revised, as companies are still evaluating how AI systems (typically Large Language Model (LLM) systems like OpenAI ChatGPT, Google Gemini, Anthropic Claude and others) enhance worker productivity and deliver business benefits. Cybersecurity is one sector where extensive use of AI-enhanced solutions is common.

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.

In today’s rapidly evolving cyberthreat landscape, organizations require network detection solutions that help identify and mitigate threats before significant damage happens. 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.

This blog explores each acronym for those hearing them for the first time and for professionals who’d like to brush up on them.

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.

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 concerns our customers have. This blog gives you the first look into how Flowmon ADS 12.3 improves your organization’s threat analyses and cybersecurity strategies.

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.

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.

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?