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.