Skip to main content

Kemp Acquires Flowmon

Kemp announced the acquisition of Flowmon Networks, a provider of actionable network intelligence solutions for network and security operations (NetSecOps) teams.

The acquisition brings together application delivery and security services with deep network visibility and automated security incident response. Joining these capabilities together arms NetSecOps teams with early detection of advanced threats and network anomalies along with complete active feedback loops for remediation.

The network is essential to application experience, serving as the ultimate source of truth for troubleshooting application disruptions and detecting sophisticated cyber-attacks. Kemp optimizes AX with intelligent traffic steering, authentication and inline web application attack mitigation across more than 100,000 deployments worldwide. The integration with Flowmon’s comprehensive network performance monitoring and diagnostics (NPMD) and NDR solution stack will extend overall application experience control for network and security teams by increasing observability and creating a bridge between applications and the network.

Flowmon’s machine learning (ML)-driven behavior analysis and anomaly detection provides the necessary early detection of the most subtle exploits by malicious actors before they have a negative impact. Integration with front-end proxy, load balancing and application firewalling means that tightly integrated closed feedback and remediation loops can be created that not only provide high-fidelity insights, but also solve the root cause of issues that lead to AX degradation.

Founded in 2007, Flowmon focuses on actionable network intelligence that enables businesses to ensure the performance of networks and the security of the enterprise. Headquartered in Brno, Czech Republic, Flowmon has global channel operations extending to more than 40 countries. The company has more than 1,200 customers worldwide, including AEGON, SEGA, Tieto, Raiffeisen Bank, Kia Motors, KBC, and Orange, and is recognized by Gartner in the NPMD and NDR categories.

Ray Downes, CEO of Kemp Technologies, said: "The expansion of Kemp's portfolio to include Flowmon’s solutions will provide customers the ideal combination of network analysis, preemptive threat detection and workload delivery for optimal, uninterrupted user and application experience."

"We have focused on helping NetSecOps teams protect and better understand their networks, and we are thrilled to be teaming up with Kemp to put our network intelligence capabilities in the hands of more customers globally,” said Jiří Tobola, CEO and co-founder of Flowmon Networks. “With more distributed users and applications, and the increasing use of public and private clouds, we look forward to pairing our solutions to help more customers uncover the unknown threats to their enterprise and ensure the continuous availability of business-critical services."

Flowmon Products and Solutions Incorporated with Kemp

- Flowmon Anomaly Detection System (ADS) - ML-driven detection and mitigation of unknown threats

- Flowmon Packet Investigator – Smart network traffic capture and knowledge-based auditing and automated root-cause analysis of packet data

- Flowmon Application Performance Monitor (APM) – Insights on application and database performance combined with workflow automation for addressing sub-optimal AX

- Flowmon DDoS Defender – Detection and mitigation orchestration of denial-of-service attacks

- Flowmon Collector (Monitoring Center) – Comprehensive analysis and visualization of enriched network telemetry and statistics

- Flowmon Probe – Passive traffic sensor providing NetFlow/IPFIX export, packet capture, network performance monitoring, and intrusion detection (IDS) in hardware, virtual and cloud environments

The Latest

In the world of digital-first business, there is no tolerance for service outages. Businesses know that outages are the quickest way to lose money and customers. For smaller organizations, unplanned downtime could even force the business to close ... A new study from PagerDuty, The State of AI-First Operations, reveals that companies actively incorporating AI into operations now view operational resilience as a growth driver rather than a cost center. But how are they achieving it? ...

In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...

Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ... 

Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...

Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...

In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...

Kemp Acquires Flowmon

Kemp announced the acquisition of Flowmon Networks, a provider of actionable network intelligence solutions for network and security operations (NetSecOps) teams.

The acquisition brings together application delivery and security services with deep network visibility and automated security incident response. Joining these capabilities together arms NetSecOps teams with early detection of advanced threats and network anomalies along with complete active feedback loops for remediation.

The network is essential to application experience, serving as the ultimate source of truth for troubleshooting application disruptions and detecting sophisticated cyber-attacks. Kemp optimizes AX with intelligent traffic steering, authentication and inline web application attack mitigation across more than 100,000 deployments worldwide. The integration with Flowmon’s comprehensive network performance monitoring and diagnostics (NPMD) and NDR solution stack will extend overall application experience control for network and security teams by increasing observability and creating a bridge between applications and the network.

Flowmon’s machine learning (ML)-driven behavior analysis and anomaly detection provides the necessary early detection of the most subtle exploits by malicious actors before they have a negative impact. Integration with front-end proxy, load balancing and application firewalling means that tightly integrated closed feedback and remediation loops can be created that not only provide high-fidelity insights, but also solve the root cause of issues that lead to AX degradation.

Founded in 2007, Flowmon focuses on actionable network intelligence that enables businesses to ensure the performance of networks and the security of the enterprise. Headquartered in Brno, Czech Republic, Flowmon has global channel operations extending to more than 40 countries. The company has more than 1,200 customers worldwide, including AEGON, SEGA, Tieto, Raiffeisen Bank, Kia Motors, KBC, and Orange, and is recognized by Gartner in the NPMD and NDR categories.

Ray Downes, CEO of Kemp Technologies, said: "The expansion of Kemp's portfolio to include Flowmon’s solutions will provide customers the ideal combination of network analysis, preemptive threat detection and workload delivery for optimal, uninterrupted user and application experience."

"We have focused on helping NetSecOps teams protect and better understand their networks, and we are thrilled to be teaming up with Kemp to put our network intelligence capabilities in the hands of more customers globally,” said Jiří Tobola, CEO and co-founder of Flowmon Networks. “With more distributed users and applications, and the increasing use of public and private clouds, we look forward to pairing our solutions to help more customers uncover the unknown threats to their enterprise and ensure the continuous availability of business-critical services."

Flowmon Products and Solutions Incorporated with Kemp

- Flowmon Anomaly Detection System (ADS) - ML-driven detection and mitigation of unknown threats

- Flowmon Packet Investigator – Smart network traffic capture and knowledge-based auditing and automated root-cause analysis of packet data

- Flowmon Application Performance Monitor (APM) – Insights on application and database performance combined with workflow automation for addressing sub-optimal AX

- Flowmon DDoS Defender – Detection and mitigation orchestration of denial-of-service attacks

- Flowmon Collector (Monitoring Center) – Comprehensive analysis and visualization of enriched network telemetry and statistics

- Flowmon Probe – Passive traffic sensor providing NetFlow/IPFIX export, packet capture, network performance monitoring, and intrusion detection (IDS) in hardware, virtual and cloud environments

The Latest

In the world of digital-first business, there is no tolerance for service outages. Businesses know that outages are the quickest way to lose money and customers. For smaller organizations, unplanned downtime could even force the business to close ... A new study from PagerDuty, The State of AI-First Operations, reveals that companies actively incorporating AI into operations now view operational resilience as a growth driver rather than a cost center. But how are they achieving it? ...

In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...

Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ... 

Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...

Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...

In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...