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Powering Seamless Connectivity and Performance with AI-Driven Observability

Powering Seamless Connectivity and Performance with AI-Driven Observability Image Credit: Progress

In a recent interview, Ariana Lynn, Principal Analyst at The Fast Mode spoke to Filip Cerny, Product Marketing Manager at Progress on the impact of traffic visibility on modern IP networks. Filip joins us in a series of discussions with leading networking, analytics and cybersecurity companies, assessing the need for traffic filtering technologies that can deliver real-time, granular application awareness. The series explores how advanced analytics power various network functions amidst the rapid growth in traffic and applications. 

Ariana: How do your solutions and products fulfill the demands of today's networks?

Filip: Several challenges loom large in today's network operations landscape, making efficient management, operational stability and optimization a daunting task. Among these challenges are the lack of thorough visibility, the complexity associated with decentralized hybrid environments and the fragmentation caused by using multiple dashboards from native cloud providers.

How can you identify performance bottlenecks, security vulnerabilities or compliance issues without complete observability of your IT environment? How can you facilitate seamless connectivity and consistent performance?

Progress Flowmon stands out as an in-depth observability solution capable of addressing these challenges head-on. By offering centralized visibility into complex hybrid environments via a single dashboard, Flowmon helps streamline network monitoring and management processes. IT teams can monitor traffic flows, application performance and user experience across diverse environments and minimize outages and operational costs.

Ariana: How do your solutions and products combat the ever-evolving threat landscape?

Filip: In the face of an ever-evolving threat landscape, organizations are grappling with the challenges posed by sophisticated attacks such as ransomware, malware, supply chain attacks, etc. Ransomware attacks, in particular, have emerged as a significant menace, with threat actors constantly evolving their tactics to evade detection and maximize their impact. These attacks encrypt critical data and demand ransom payments, causing substantial financial and reputational damage to targeted organizations.

Additionally, security operations center (SOC) analysts are often overwhelmed by the sheer volume of security events, making it difficult to quickly differentiate between benign incidents and critical threats. Consequently, critical incidents may go unnoticed, allowing attackers to dwell in the network undetected and escalate their activities.

The AI-driven threat detection engine in Flowmon analyzes real-time network traffic and identifies anomalous behavior indicative of potential security threats. By correlating disparate data sources and employing machine learning algorithms, Flowmon can detect and mitigate threats swiftly, minimizing the impact of breaches and helping prevent data exfiltration.

The intelligent threat detection capabilities of Flowmon significantly reduce the number of security events SOC analysts need to investigate. By prioritizing high-risk incidents and filtering out false positives, Flowmon enables analysts to focus their attention on the most critical threats and provides detailed visibility into the attack lifecycle. This allows analysts to understand the scope and severity of an incident and take decisive action to remediate it.

Filip Cerny is a Product Marketing Manager at Progress, where he is responsible for the Flowmon product line. With a sales background and 7+ years’ experience with the Flowmon solution, Filip continues to spread the word about the importance of Network Security and Network Traffic Visibility for IT Operations.

This interview is a part of The Fast Mode's Traffic Visibility segment, featuring leading networking, analytics and cybersecurity companies and their views on the importance of network intelligence and DPI for today's IP networks. A research report on this topic will be published in June 2024 - for more information, visit here.

NEW REPORT:
Next-Gen DPI for ZTNA: Advanced Traffic Detection for Real-Time Identity and Context Awareness
Author

Principle Analyst and Senior Editor | IP Networks

Ariana specializes in IP networking, covering both operator networks - core, transport, edge and access; and enterprise and cloud networks. Her work involves analysis of cutting-edge technologies that drive application visibility, traffic awareness, network optimization, network security, virtualization and cloud-native architectures.

She can be reached at ariana.lynn@thefastmode.com

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