Flowmon

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.

The cybersecurity sector has no shortage of acronyms. The terms Network Detection and Response (NDR), Managed Detection and Response (MDR), Extended Detection and Response (XDR), Endpoint Detection and Response (EDR), Security Information and Event Management (SIEM) and Security Orchestration Automation and Response (SOAR) are used frequently and often without explanation, as it’s assumed everyone knows what they mean.

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.