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IP Fabric Partners with Illumio on Network and Cloud Assurance

IP Fabric announced a partnership with Illumio, the breach containment company, to give organizations a clearer, more complete understanding of how their applications depend on underlying network and cloud infrastructure.

IP Fabric is correlating application context from Illumio with observed network behavior. The resulting capabilities will help joint customers understand application dependencies and determine whether network, cloud or workload-level controls are affecting connectivity without replacing their existing application monitoring or security investments.

“Enterprises have invested heavily in understanding their applications and network, but the truth remains fragmented across teams and tools,” said Pavel Bykov, CEO of IP Fabric. “IP Fabric and Illumio have the technology and expertise to change that. By connecting application and workload context with validated network and cloud behavior, we intend to give enterprises something they have never had before: a trustworthy, end-to-end understanding of how their most critical applications are connected, controlled and affected by change.”

The collaboration will help network, application and security teams to troubleshoot connectivity problems faster, understand application dependencies, assess the potential impact of network changes and validate that the segmentation policy aligns with actual network and cloud behavior. Customers will gain this additional context while preserving their existing application monitoring, infrastructure and microsegmentation investments.

“Workload segmentation is most effective when organizations understand it in the context of the complete infrastructure path,” said Todd Palmer, senior vice president of global partner sales and alliances at Illumio. “By bringing together Illumio’s application and workload intelligence with IP Fabric’s deep understanding of network and cloud behavior, we can help customers better understand how their critical applications communicate and where security controls should be applied. This insight gives teams great confidence to make changes, reduce risk, and keep applications running securely.”

The collaboration will span technical development and go-to-market programs, bringing their complementary capabilities to joint customers more effectively. It also marks the beginning of a broader effort to help network, application and security teams work from a shared understanding of the environment rather than separate and sometimes conflicting views.

Additional details, including availability, will be announced at a later date.

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IP Fabric Partners with Illumio on Network and Cloud Assurance

IP Fabric announced a partnership with Illumio, the breach containment company, to give organizations a clearer, more complete understanding of how their applications depend on underlying network and cloud infrastructure.

IP Fabric is correlating application context from Illumio with observed network behavior. The resulting capabilities will help joint customers understand application dependencies and determine whether network, cloud or workload-level controls are affecting connectivity without replacing their existing application monitoring or security investments.

“Enterprises have invested heavily in understanding their applications and network, but the truth remains fragmented across teams and tools,” said Pavel Bykov, CEO of IP Fabric. “IP Fabric and Illumio have the technology and expertise to change that. By connecting application and workload context with validated network and cloud behavior, we intend to give enterprises something they have never had before: a trustworthy, end-to-end understanding of how their most critical applications are connected, controlled and affected by change.”

The collaboration will help network, application and security teams to troubleshoot connectivity problems faster, understand application dependencies, assess the potential impact of network changes and validate that the segmentation policy aligns with actual network and cloud behavior. Customers will gain this additional context while preserving their existing application monitoring, infrastructure and microsegmentation investments.

“Workload segmentation is most effective when organizations understand it in the context of the complete infrastructure path,” said Todd Palmer, senior vice president of global partner sales and alliances at Illumio. “By bringing together Illumio’s application and workload intelligence with IP Fabric’s deep understanding of network and cloud behavior, we can help customers better understand how their critical applications communicate and where security controls should be applied. This insight gives teams great confidence to make changes, reduce risk, and keep applications running securely.”

The collaboration will span technical development and go-to-market programs, bringing their complementary capabilities to joint customers more effectively. It also marks the beginning of a broader effort to help network, application and security teams work from a shared understanding of the environment rather than separate and sometimes conflicting views.

Additional details, including availability, will be announced at a later date.

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For decades, traditional observability tools have forced IT professionals to sift through endless dashboards, turning a flood of alerts into actionable insight and driving widespread burnout. While enterprises adopted AI to eliminate this friction, most still deploy it reactively rather than proactively ... As systems become more complex and IT moves to the center of business strategy, a reactive posture is unsustainable ...

Ask an operations team what they monitor and you will hear a familiar list: latency, errors, throughput, uptime. Those signals still matter for AI, but they no longer answer the most important question. As Krishna Sai, CTO of SolarWinds, puts it: "Traditional observability tells you a system is running. AI observability tells you whether it's still reasoning soundly. Those are completely different questions" ...

AI observability serves several roles across an organization. AI engineers use it to build, evaluate, and improve AI systems. SREs use it to operate those systems reliably and efficiently in production, including managing their cost. Leaders need it to connect AI behavior and operational performance to business outcomes. The common need is a clear understanding of whether AI systems are delivering the intended result ...

Part 4 outlines the challenges enterprise face when adopting AI observability. The main challenge is that AI complexity compounds at every stage of maturity. LLM-based applications introduce new behavior, dependencies, and quality considerations, while Agentic AI adds further failure modes as systems make decisions and take actions ...

Part 3 reports on the current state of AI observability. Most experts agree: enterprises are moving faster with AI than they are with the operational discipline needed to run it safely ...

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Amid rising complexity, organizations are moving quickly toward agent-driven operations: AgenticOps, according to The Impact of Agentic AI on Network Operations, a new report from Cisco ...

AI, automation, and enterprise software give organizations an extraordinary amount of leverage. Work that once required hours can happen in minutes. Information buried across systems can be analyzed almost instantly. Complex workflows can be coordinated across teams with far less manual intervention. That leverage creates a temptation to start with the technology ...

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