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Ixia and Plixer Provide Enhanced Cyber Attack and Application Performance Analysis

Ixia announced the integration of its Application and Threat Intelligence (ATI) Processor with the Plixer International Scrutinizer cyber threat incident response solution. The joint solution improves forensic incident response and application optimization capabilities that help IT professionals prepare for the next cyber attack or application performance issue.

Scrutinizer provides a behavior analysis system for cyber threat detection and forensic analysis that uncovers unwanted communication by leveraging flow data. The Ixia ATI Processor complements the Plixer Scrutinizer by generating an expanded NetFlow data feed called IxFlow from all points in the data center and then sends it to Scrutinizer for analysis. The combined solution gives administrators the ability to identify users, device types, operating systems and applications that generate excessive traffic or security threats, which then enables them to isolate malware and remove unwanted behaviors.

The Ixia ATI Processor performs the raw packet processing and deep packet inspection providing full layer 2 – 7 insight including application classification, application behavior, geo-location, user device details and other flow data to Plixer for analysis. The ATI Processor is a key component of the Intelligence layer of Ixia’s Visibility Architecture and provides rich contextual metadata to security and performance analysis tools, to make existing tools even more effective and scalable.

The joint solution provides:

- High-speed deep packet inspection for rich application identification (e.g. Facebook, Google and Amazon) with additional detail provided on geo-location and device OS.

- Insight into the network where existing routers and switches cannot provide sufficient communication context and details.

- Isolation and removal of unwanted network behaviors and security breaches.

- Compliance reporting that includes a complete audit trail of all communications.

Additionally, Ixia offers several components that can be combined with Plixer's Scrutinizer - Incident Response System to help ensure that customers can obtain an always-on low latency user experience. From physical and virtual network taps that enable customized feeds of monitoring data to analysis tools to the network packet broker that aggregates and filters monitoring tool data, Ixia’s Visibility Architecture delivers the comprehensive monitoring solution enterprises and service providers need to maintain network quality.

“Today’s reality is that IT environments are under constant threat of malicious attacks, and organizations must be prepared to combat these threats with advanced and fool-proof solutions to protect intellectual property,” said Mike Patterson, Founder & Product Manager at Plixer. “With the combination of Ixia’s ATI Processor’s application intelligence and Plixer’s Scrutinizer solution with integrated behavior analysis, enterprises are able to detect issues in real-time and prevent sophisticated attacks from stealing sensitive data.”

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Ixia and Plixer Provide Enhanced Cyber Attack and Application Performance Analysis

Ixia announced the integration of its Application and Threat Intelligence (ATI) Processor with the Plixer International Scrutinizer cyber threat incident response solution. The joint solution improves forensic incident response and application optimization capabilities that help IT professionals prepare for the next cyber attack or application performance issue.

Scrutinizer provides a behavior analysis system for cyber threat detection and forensic analysis that uncovers unwanted communication by leveraging flow data. The Ixia ATI Processor complements the Plixer Scrutinizer by generating an expanded NetFlow data feed called IxFlow from all points in the data center and then sends it to Scrutinizer for analysis. The combined solution gives administrators the ability to identify users, device types, operating systems and applications that generate excessive traffic or security threats, which then enables them to isolate malware and remove unwanted behaviors.

The Ixia ATI Processor performs the raw packet processing and deep packet inspection providing full layer 2 – 7 insight including application classification, application behavior, geo-location, user device details and other flow data to Plixer for analysis. The ATI Processor is a key component of the Intelligence layer of Ixia’s Visibility Architecture and provides rich contextual metadata to security and performance analysis tools, to make existing tools even more effective and scalable.

The joint solution provides:

- High-speed deep packet inspection for rich application identification (e.g. Facebook, Google and Amazon) with additional detail provided on geo-location and device OS.

- Insight into the network where existing routers and switches cannot provide sufficient communication context and details.

- Isolation and removal of unwanted network behaviors and security breaches.

- Compliance reporting that includes a complete audit trail of all communications.

Additionally, Ixia offers several components that can be combined with Plixer's Scrutinizer - Incident Response System to help ensure that customers can obtain an always-on low latency user experience. From physical and virtual network taps that enable customized feeds of monitoring data to analysis tools to the network packet broker that aggregates and filters monitoring tool data, Ixia’s Visibility Architecture delivers the comprehensive monitoring solution enterprises and service providers need to maintain network quality.

“Today’s reality is that IT environments are under constant threat of malicious attacks, and organizations must be prepared to combat these threats with advanced and fool-proof solutions to protect intellectual property,” said Mike Patterson, Founder & Product Manager at Plixer. “With the combination of Ixia’s ATI Processor’s application intelligence and Plixer’s Scrutinizer solution with integrated behavior analysis, enterprises are able to detect issues in real-time and prevent sophisticated attacks from stealing sensitive data.”

The Latest

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 ...

AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.

The quietest week your engineering team has ever had might also be its best. No alarms going off. No escalations. No frantic Teams or Slack threads at 2 a.m. Everything humming along exactly as it should. And somewhere in a leadership meeting, someone looks at the metrics dashboard, sees a flat line of incidents and says: "Seems like things are pretty calm over there. Do we really need all those people?" ... I've spent many years in engineering, and this pattern keeps repeating ...