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.