Flowmon's Origins and Vision: Pavel shares the story behind the founding of Flowmon and its mission to provide comprehensive network performance monitoring and security solutions.

Early Career and Academic Background: Pavel discusses his background in custom software development and network solutions, and his PhD in informatics focusing on network behavior analysis and cybersecurity.

Development of Flowmon ADS: The creation and commercialization of Flowmon's Anomaly Detection System (ADS) from university research, and the innovative detection techniques it employs.

Integration and Acquisitions: Insights into Flowmon's journey through acquisitions by Kemp Technologies and Progress, and the strategic integrations with products like LoadMaster and WhatsUp Gold.

Advanced Detection Methods: How Flowmon combines adaptive baselining, heuristics, machine learning, and signatures to provide robust threat detection.

Role of AI in Network Security: The use of AI and machine learning to enhance Flowmon’s capabilities, streamline threat analysis, and improve efficiency for IT professionals.

Real-World Applications: Case studies highlighting Flowmon’s effectiveness in detecting and mitigating threats, including a ransomware attack in the healthcare sector.