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WanAware Releases Intelligent Observability Platform

WanAware announced the launch of its advanced intelligent observability platform, including its proprietary Knowledge Discovery Engine (KDE). 

WanAware provides businesses with the tools to effectively address performance, availability, and security challenges in today's complex IT environments.

WanAware addresses a long-standing challenge in IT observability: outdated legacy tools and antiquated models that aggregate data but fail to provide actionable insights. These limitations expose organizations to cybersecurity threats, inefficiencies, and performance bottlenecks. With the rapid growth of connected assets, IT teams face an overwhelming volume of data that traditional tools can't manage effectively. WanAware's platform, centered around its KDE, leverages advanced technologies to transform raw data into meaningful intelligence, offering real-time insights without the need for specialized expertise.

"Our mission has always been to elevate performance, availability, and security monitoring to meet the demands of modern IT ecosystems," says Jeff Collins, CEO of WanAware. "For too long, organizations have relied on outdated tools that generate noise without actionable guidance. WanAware changes that by offering intelligent observability, enabling teams to focus on what truly matters."

WanAware offers the following capabilities:

  • True Intelligent Visibility: The platform collects and analyzes over 10 billion globally connected IP addresses, refreshing data every four hours to provide real-time and historical insights. This unparalleled data depth offers organizations a comprehensive understanding of their IT environments.
  • Contextual Awareness: Using over 10 trillion data points, WanAware applies AI, machine learning, and advanced graph database infrastructure to contextualize and correlate data. This ensures organizations can identify patterns, behaviors, and critical risks with ease and before they occur, offering automated remediation workflows to minimize downtime and shift IT operations from reactive to predictive.
  • Agentless Architecture: The platform's agentless architecture eliminates the need for software rollouts or manual deployments, reducing costs and complexity while ensuring seamless scalability across diverse IT environments.
  • Business Impact Analysis: By analyzing the causal chain of IT issues, WanAware determines the Total Scope of Impact (TSOI), offering organizations a precise view of affected systems and enabling faster, more effective resolutions.
  • Integrated Security and Compliance: With real-time threat detection, vulnerability scanning, and zero-trust principles, WanAware ensures robust security alongside comprehensive observability.

WanAware's platform is designed for accessibility. Generalist IT teams can easily implement and operate the solution, eliminating the need for highly specialized expertise. This democratization of intelligent observability ensures organizations of all sizes-from small businesses to Fortune 100 companies-can harness its power.

The platform's ability to monitor both external and on-premise assets allows organizations to gain visibility across their entire IT ecosystem, including IoT devices, cloud services, and legacy infrastructure. WanAware's approach reduces noise by prioritizing actionable events, saving teams from wading through unnecessary alerts.

"Observability should be intelligent, not complex," says Wes Jensen, COO at WanAware. "Our platform sets a new standard by delivering clarity and confidence to organizations navigating an increasingly connected and data-driven landscape."

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WanAware Releases Intelligent Observability Platform

WanAware announced the launch of its advanced intelligent observability platform, including its proprietary Knowledge Discovery Engine (KDE). 

WanAware provides businesses with the tools to effectively address performance, availability, and security challenges in today's complex IT environments.

WanAware addresses a long-standing challenge in IT observability: outdated legacy tools and antiquated models that aggregate data but fail to provide actionable insights. These limitations expose organizations to cybersecurity threats, inefficiencies, and performance bottlenecks. With the rapid growth of connected assets, IT teams face an overwhelming volume of data that traditional tools can't manage effectively. WanAware's platform, centered around its KDE, leverages advanced technologies to transform raw data into meaningful intelligence, offering real-time insights without the need for specialized expertise.

"Our mission has always been to elevate performance, availability, and security monitoring to meet the demands of modern IT ecosystems," says Jeff Collins, CEO of WanAware. "For too long, organizations have relied on outdated tools that generate noise without actionable guidance. WanAware changes that by offering intelligent observability, enabling teams to focus on what truly matters."

WanAware offers the following capabilities:

  • True Intelligent Visibility: The platform collects and analyzes over 10 billion globally connected IP addresses, refreshing data every four hours to provide real-time and historical insights. This unparalleled data depth offers organizations a comprehensive understanding of their IT environments.
  • Contextual Awareness: Using over 10 trillion data points, WanAware applies AI, machine learning, and advanced graph database infrastructure to contextualize and correlate data. This ensures organizations can identify patterns, behaviors, and critical risks with ease and before they occur, offering automated remediation workflows to minimize downtime and shift IT operations from reactive to predictive.
  • Agentless Architecture: The platform's agentless architecture eliminates the need for software rollouts or manual deployments, reducing costs and complexity while ensuring seamless scalability across diverse IT environments.
  • Business Impact Analysis: By analyzing the causal chain of IT issues, WanAware determines the Total Scope of Impact (TSOI), offering organizations a precise view of affected systems and enabling faster, more effective resolutions.
  • Integrated Security and Compliance: With real-time threat detection, vulnerability scanning, and zero-trust principles, WanAware ensures robust security alongside comprehensive observability.

WanAware's platform is designed for accessibility. Generalist IT teams can easily implement and operate the solution, eliminating the need for highly specialized expertise. This democratization of intelligent observability ensures organizations of all sizes-from small businesses to Fortune 100 companies-can harness its power.

The platform's ability to monitor both external and on-premise assets allows organizations to gain visibility across their entire IT ecosystem, including IoT devices, cloud services, and legacy infrastructure. WanAware's approach reduces noise by prioritizing actionable events, saving teams from wading through unnecessary alerts.

"Observability should be intelligent, not complex," says Wes Jensen, COO at WanAware. "Our platform sets a new standard by delivering clarity and confidence to organizations navigating an increasingly connected and data-driven landscape."

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 ...

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