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Aviatrix Announces Secure Network Supervisor Agent

Aviatrix® announced the public preview launch of the Secure Network Supervisor Agent, an intelligent AI agent powered by Microsoft Security Copilot. 

This tool is designed to tackle one of the most persistent IT challenges—VPN troubleshooting that disrupts operations, drains engineering resources, and opens the door to security risks. By transforming hours of complex problem-solving into automated, intelligent workflows, the Secure Network Supervisor Agent by Aviatrix helps enterprises avoid costly downtime, protect sensitive data, and reclaim their team’s time.

The Secure Network Supervisor Agent by Aviatrix addresses monitors targeted VPN connections for errors and misconfigurations—using Microsoft Security Copilot’s AI capabilities to quickly identify root causes and guide remediation. Available today in the Security Copilot standalone console, it delivers robust network visibility and diagnostic depth across cloud and multicloud environments. Customers can choose their desired level of autonomy—ranging from proactive alerting to automatic connection resets or interactive, vendor-specific troubleshooting flows Secure Network Supervisor Agent by Aviatrix brings proactive intelligence to these fragile connections—ensuring business continuity and regulatory compliance without overloading IT.

“VPN connection failures cost businesses more than just time and money—they can create serious security vulnerabilities and disrupt critical operations,” said Chris McHenry, Senior Vice President of Product Management at Aviatrix. “With the Secure Network Supervisor Agent by Aviatrix, we’re giving IT teams a smarter, faster, and more secure way to manage VPNs. By combining our deep network visibility with Microsoft Security Copilot we’re unlocking the next generation of intelligent networking.”

Key capabilities of the Secure Network Supervisor Agent by Aviatrix include:

  • AI-Powered VPN Diagnostics: Uses Microsoft Security Copilot to identify root causes of VPN issues, accelerating troubleshooting and reducing reliance on senior engineering resources.
  • Deep Cloud and Multicloud Network Visibility: Leverages the Aviatrix platform for granular visibility to continuously monitor VPN health across complex cloud environments.
  • Security Risk Reduction: Detects misconfigurations such as unpatched software or split tunneling, helping prevent unencrypted traffic exposure and regulatory compliance risks.
  • Operational Efficiency at Scale: Empowers junior engineers with guided troubleshooting workflows, freeing senior staff to focus on higher-value initiatives and reducing mean time to resolution (MTTR).

Aviatrix Secure Network Supervisor further strengthens Aviatrix’s AI-driven network operations and highlights its deepening collaboration with Microsoft. As part of this collaboration, the capabilities of the Secure Network Supervisor by Aviatrix will expand over time to ingest richer datasets across Microsoft’s security ecosystem, including identity management; mobile device security; and security information and event management (SIEM) and security orchestration, automation, and response (SOAR) integrations. 

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Aviatrix Announces Secure Network Supervisor Agent

Aviatrix® announced the public preview launch of the Secure Network Supervisor Agent, an intelligent AI agent powered by Microsoft Security Copilot. 

This tool is designed to tackle one of the most persistent IT challenges—VPN troubleshooting that disrupts operations, drains engineering resources, and opens the door to security risks. By transforming hours of complex problem-solving into automated, intelligent workflows, the Secure Network Supervisor Agent by Aviatrix helps enterprises avoid costly downtime, protect sensitive data, and reclaim their team’s time.

The Secure Network Supervisor Agent by Aviatrix addresses monitors targeted VPN connections for errors and misconfigurations—using Microsoft Security Copilot’s AI capabilities to quickly identify root causes and guide remediation. Available today in the Security Copilot standalone console, it delivers robust network visibility and diagnostic depth across cloud and multicloud environments. Customers can choose their desired level of autonomy—ranging from proactive alerting to automatic connection resets or interactive, vendor-specific troubleshooting flows Secure Network Supervisor Agent by Aviatrix brings proactive intelligence to these fragile connections—ensuring business continuity and regulatory compliance without overloading IT.

“VPN connection failures cost businesses more than just time and money—they can create serious security vulnerabilities and disrupt critical operations,” said Chris McHenry, Senior Vice President of Product Management at Aviatrix. “With the Secure Network Supervisor Agent by Aviatrix, we’re giving IT teams a smarter, faster, and more secure way to manage VPNs. By combining our deep network visibility with Microsoft Security Copilot we’re unlocking the next generation of intelligent networking.”

Key capabilities of the Secure Network Supervisor Agent by Aviatrix include:

  • AI-Powered VPN Diagnostics: Uses Microsoft Security Copilot to identify root causes of VPN issues, accelerating troubleshooting and reducing reliance on senior engineering resources.
  • Deep Cloud and Multicloud Network Visibility: Leverages the Aviatrix platform for granular visibility to continuously monitor VPN health across complex cloud environments.
  • Security Risk Reduction: Detects misconfigurations such as unpatched software or split tunneling, helping prevent unencrypted traffic exposure and regulatory compliance risks.
  • Operational Efficiency at Scale: Empowers junior engineers with guided troubleshooting workflows, freeing senior staff to focus on higher-value initiatives and reducing mean time to resolution (MTTR).

Aviatrix Secure Network Supervisor further strengthens Aviatrix’s AI-driven network operations and highlights its deepening collaboration with Microsoft. As part of this collaboration, the capabilities of the Secure Network Supervisor by Aviatrix will expand over time to ingest richer datasets across Microsoft’s security ecosystem, including identity management; mobile device security; and security information and event management (SIEM) and security orchestration, automation, and response (SOAR) integrations. 

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AI is becoming the operating system of the enterprise. It acts as an invisible coordination layer that understands intent, connects systems, and executes work across complex SaaS environments. Previously, employees had to click through multiple systems — CRM, ERP, support tools, collaboration platforms — to complete a single task. Now, instead of navigating each application manually, they can simply state what they need to accomplish ...

In 2026, the cost of downtime or an outage is no longer just a technical inconvenience; it's a $600 billion wake up call for global businesses. As our digital ecosystems become  more interconnected, each touchpoint introduces new risks and multiplies the consequences when things go wrong. And the data is clear: aggregate downtime costs  for Global 2,000 companies have surged 50% since 2024, reaching a staggering $600 billion ...

Deloitte found that 74% of enterprises expect to deploy agentic AI solutions in the next 24 months. However, the rush to deployment is outpacing foundational work, though. Only 21% of enterprises have fully formed agent governance models in place. The result? AI agents deployed without guidance or governance begin to function as fragmented islands of complexity ...

Cloud spending is no longer viewed as a passthrough IT expense, but as a strategic financial lever that directly impacts innovation capacity, profitability and enterprise resilience, according to the CFO Cloud Cost Optimization Report from Azul ...

As AI moves from generating responses to performing actions, the need for trust increases exponentially. And as organizations enlist AI agents for increasingly sophisticated business processes, trust is going to be the single most important theme for spurring adoption. What can organizations do to build trustworthy AI agents? ...

I've spent a lot of time in the channel, and one thing I keep coming back to is this: a partner program is only as good as what it looks like in the field. Many programs look great on paper, but when a partner is in front of a customer navigating a complex hybrid environment or trying to make the case for AI-powered observability, the gap between what a vendor promises and what it actually delivers becomes very clear, very fast ...

Enterprises today operate in a real-time environment where uninterrupted access to trusted data has become a baseline expectation for users, applications and automated systems. Traditional DataOps models, built on manual effort and human triage, cannot keep pace with this always active demand. AI agents are emerging as the operational backbone, ensuring consistent data availability, reinforcing trustworthiness and enabling a level of scale that manual processes cannot achieve ...

For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...

Cloud migration was supposed to be a one-way door. For most enterprises, it turns out it isn't. Cloud data repatriation is a real and growing trend. A new survey ... finds that 89% of organizations plan to expand their on-premises infrastructure footprint over the next two years — and 75% have already moved at least some workloads back from public cloud in the past 24 months. The findings point to a broad rethinking of where data belongs ...

Over the past few years, large language models (LLMs) have revolutionized the software industry. Given their ability to excel at multi-step reasoning, LLMs have helped enterprises streamline workflows and adapt to the unknown. However, employing such models comes with sky-high costs, latency issues, and limited flexibility. In the realm of IT operations, it is generally wiser to employ smaller, domain-specific models instead ...