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Savvius Vigil Designated Ready for IBM Security Intelligence

Savvius has received IBM PartnerWorld’s Ready for IBM Security Intelligence designation for Savvius Vigil 2.0, the latest version of the network forensics appliance that automates the collection of network traffic associated with security incidents.

As a result, Savvius Vigil has been validated to integrate with the IBM QRadar Security Intelligence Platform to help better protect customers around the world. The integration capitalizes on Vigil’s ability to store only the most useful network packet data to enhance security investigations, even into incidents that took place weeks or months ago.

"Vigil’s integration with QRadar means our customers can respond more quickly to security alerts, reducing the likelihood of a successful data breach," said Mandana Javaheri, CTO at Savvius. "When breaches do occur, Vigil and QRadar users will be able to investigate and respond much more quickly and effectively to mitigate the cost and damage of a breach."

This integration allows Vigil and QRadar users to operate a closed-loop cycle for identifying, tracking, and investigating alerts that have potential to become security breaches. Security investigators using the joint solution can now examine security events more efficiently with the ability to immediately access the most useful and pertinent packet data for a particular alert.

A recent survey conducted by analyst firm EMA revealed that most enterprises investigate and resolve fewer than 5 percent of their total security alerts, showing a clear need for automation and improvement in the incident response process. Most intrusions that become breaches are not discovered for months, by which time security investigators must have the assistance of Savvius Vigil or rely solely on incomplete information from logs and metadata stores.

The new integration allows Savvius Vigil to store appropriate network traffic for each threat detected by the IBM QRadar SIEM, even packet information from the five minutes leading up to the alert. By presenting only forensically relevant data to investigators, Vigil enhances the speed and accuracy of their investigations. The forensically relevant data is placed in long-term storage in the Vigil appliance, providing insurance against inadequate information during a major breach when time to resolution is particularly critical.

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Savvius Vigil Designated Ready for IBM Security Intelligence

Savvius has received IBM PartnerWorld’s Ready for IBM Security Intelligence designation for Savvius Vigil 2.0, the latest version of the network forensics appliance that automates the collection of network traffic associated with security incidents.

As a result, Savvius Vigil has been validated to integrate with the IBM QRadar Security Intelligence Platform to help better protect customers around the world. The integration capitalizes on Vigil’s ability to store only the most useful network packet data to enhance security investigations, even into incidents that took place weeks or months ago.

"Vigil’s integration with QRadar means our customers can respond more quickly to security alerts, reducing the likelihood of a successful data breach," said Mandana Javaheri, CTO at Savvius. "When breaches do occur, Vigil and QRadar users will be able to investigate and respond much more quickly and effectively to mitigate the cost and damage of a breach."

This integration allows Vigil and QRadar users to operate a closed-loop cycle for identifying, tracking, and investigating alerts that have potential to become security breaches. Security investigators using the joint solution can now examine security events more efficiently with the ability to immediately access the most useful and pertinent packet data for a particular alert.

A recent survey conducted by analyst firm EMA revealed that most enterprises investigate and resolve fewer than 5 percent of their total security alerts, showing a clear need for automation and improvement in the incident response process. Most intrusions that become breaches are not discovered for months, by which time security investigators must have the assistance of Savvius Vigil or rely solely on incomplete information from logs and metadata stores.

The new integration allows Savvius Vigil to store appropriate network traffic for each threat detected by the IBM QRadar SIEM, even packet information from the five minutes leading up to the alert. By presenting only forensically relevant data to investigators, Vigil enhances the speed and accuracy of their investigations. The forensically relevant data is placed in long-term storage in the Vigil appliance, providing insurance against inadequate information during a major breach when time to resolution is particularly critical.

The Latest

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 ...

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.