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Pico Releases Corvil Analytics 9.7

Pico announced general availability of Corvil Analytics 9.7.

Corvil Analytics 9.7 simplifies managing network, trading and market data performance with unique visualizations and simple workflows. For example, users can overlay bespoke images of their network and business applications with Corvil’s real-time analytics, enabling an at-a-glance intuitive understanding of performance for all stakeholders.

“Corvil Analytics 9.7 maintains Pico’s focus on innovation that enhances user ability to investigate and resolve issues quickly and easily to ensure robust digital services in complex and evolving environments,” said Stacie Swanstrom, Chief Product Officer at Pico. “This release, together with our flagship 10000 appliance’s ability to simultaneously capture and process at 100Gbps, enables the Corvil platform to set the benchmark for insight-powered network analytics.”

Key highlights in today’s Corvil Analytics 9.7 platform announcement include:

■ Managing Complexity and Scale

- Scalable Analytics Architecture to meet the ever-increasing packet data volumes to capture, analyze, filter and query. New capabilities to handle increasing 100G data rates include 100Gb sustained packet capture and network analytics and 10x faster loading of analytics at peak times.

■ Improved Workflow Efficiency

- Data Comparison across a global deployment with hundreds of instrumentation points to visualize side-by-side comparisons of performance at different times and multiple points in the network. This workflow is designed to be intuitive for infrequent users across global network operations teams who need to identify changes in network behavior to help isolate the root cause of end user issues.

- Drag and Drop Packet Capture (PCAP) Analysis enables the use of PCAPs from multiple sources in the Corvil UI for full analytics and visualization. Regardless of capture source, using the same tool gives the consistency required for optimum PCAP-based troubleshooting. Additional features include Wireshark-like analytics exploration and workflows as well as Layer 2 filtering with per-packet analysis.

■ Enhanced InfoSec Support

- Continuous Appliance Security Hardening with existing capabilities like encryption of all data at rest to prevent data exfiltration through the removal of hard drives and the added support for SNMPv3, encryption of all email communications and removal of support for older encryption standards.

Corvil Analytics 9.7 also provides the base architecture for building new AI and machine learning technologies. Ongoing algorithm development efforts include an initiative focused on baselining and anomaly detection for traffic patterns typical in financial institutions. This will allow for the detection of changes in network behavior to be automated and proactively alert network operations to potential issues in the environment.

The Corvil Analytics 9.7 release will be available to download and deploy this week

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Pico Releases Corvil Analytics 9.7

Pico announced general availability of Corvil Analytics 9.7.

Corvil Analytics 9.7 simplifies managing network, trading and market data performance with unique visualizations and simple workflows. For example, users can overlay bespoke images of their network and business applications with Corvil’s real-time analytics, enabling an at-a-glance intuitive understanding of performance for all stakeholders.

“Corvil Analytics 9.7 maintains Pico’s focus on innovation that enhances user ability to investigate and resolve issues quickly and easily to ensure robust digital services in complex and evolving environments,” said Stacie Swanstrom, Chief Product Officer at Pico. “This release, together with our flagship 10000 appliance’s ability to simultaneously capture and process at 100Gbps, enables the Corvil platform to set the benchmark for insight-powered network analytics.”

Key highlights in today’s Corvil Analytics 9.7 platform announcement include:

■ Managing Complexity and Scale

- Scalable Analytics Architecture to meet the ever-increasing packet data volumes to capture, analyze, filter and query. New capabilities to handle increasing 100G data rates include 100Gb sustained packet capture and network analytics and 10x faster loading of analytics at peak times.

■ Improved Workflow Efficiency

- Data Comparison across a global deployment with hundreds of instrumentation points to visualize side-by-side comparisons of performance at different times and multiple points in the network. This workflow is designed to be intuitive for infrequent users across global network operations teams who need to identify changes in network behavior to help isolate the root cause of end user issues.

- Drag and Drop Packet Capture (PCAP) Analysis enables the use of PCAPs from multiple sources in the Corvil UI for full analytics and visualization. Regardless of capture source, using the same tool gives the consistency required for optimum PCAP-based troubleshooting. Additional features include Wireshark-like analytics exploration and workflows as well as Layer 2 filtering with per-packet analysis.

■ Enhanced InfoSec Support

- Continuous Appliance Security Hardening with existing capabilities like encryption of all data at rest to prevent data exfiltration through the removal of hard drives and the added support for SNMPv3, encryption of all email communications and removal of support for older encryption standards.

Corvil Analytics 9.7 also provides the base architecture for building new AI and machine learning technologies. Ongoing algorithm development efforts include an initiative focused on baselining and anomaly detection for traffic patterns typical in financial institutions. This will allow for the detection of changes in network behavior to be automated and proactively alert network operations to potential issues in the environment.

The Corvil Analytics 9.7 release will be available to download and deploy this week

The Latest

While 87% of manufacturing leaders and technical specialists report that ROI from their AIOps initiatives has met or exceeded expectations, only 37% say they are fully prepared to operationalize AI at scale, according to The Future of IT Operations in the AI Era, a report from Riverbed ...

Many organizations rely on cloud-first architectures to aggregate, analyze, and act on their operational data ... However, not all environments are conducive to cloud-first architectures ... There are limitations to cloud-first architectures that render them ineffective in mission-critical situations where responsiveness, cost control, and data sovereignty are non-negotiable; these limitations include ...

For years, cybersecurity was built around a simple assumption: protect the physical network and trust everything inside it. That model made sense when employees worked in offices, applications lived in data centers, and devices rarely left the building. Today's reality is fluid: people work from everywhere, applications run across multiple clouds, and AI-driven agents are beginning to act on behalf of users. But while the old perimeter dissolved, a new one quietly emerged ...

For years, infrastructure teams have treated compute as a relatively stable input. Capacity was provisioned, costs were forecasted, and performance expectations were set based on the assumption that identical resources behaved identically. That mental model is starting to break down. AI infrastructure is no longer behaving like static cloud capacity. It is increasingly behaving like a market ...

Resilience can no longer be defined by how quickly an organization recovers from an incident or disruption. The effectiveness of any resilience strategy is dependent on its ability to anticipate change, operate under continuous stress, and adapt confidently amid uncertainty ...

Mobile users are less tolerant of app instability than ever before. According to a new report from Luciq, No Margin for Error: What Mobile Users Expect and What Mobile Leaders Must Deliver in 2026, even minor performance issues now result in immediate abandonment, lost purchases, and long-term brand impact ...

Artificial intelligence (AI) has become the dominant force shaping enterprise data strategies. Boards expect progress. Executives expect returns. And data leaders are under pressure to prove that their organizations are "AI-ready" ...

Agentic AI is a major buzzword for 2026. Many tech companies are making bold promises about this technology, but many aren't grounded in reality, at least not yet. This coming year will likely be shaped by reality checks for IT teams, and progress will only come from a focus on strong foundations and disciplined execution ...

AI systems are still prone to hallucinations and misjudgments ... To build the trust needed for adoption, AI must be paired with human-in-the-loop (HITL) oversight, or checkpoints where humans verify, guide, and decide what actions are taken. The balance between autonomy and accountability is what will allow AI to deliver on its promise without sacrificing human trust ...

More data center leaders are reducing their reliance on utility grids by investing in onsite power for rapidly scaling data centers, according to the Data Center Power Report from Bloom Energy ...