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By Tejo Prayaga
Enterprise VPN health monitoring is harder than it should be. Most enterprise VPN environments look something like this: On paper, everything is “covered.” In reality? VPN performance issues are still hard to diagnose.
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By Tejo Prayaga
Why the next era of enterprise AI isn’t about note-taking — it’s about digital workers who actually show up and do the work. There’s a moment every IT operations leader knows well. A critical incident hits at 2 PM on a Tuesday. Within minutes, a war room meeting spins up — a Google Meet or Teams call crowded with network engineers, SRE leads, cloud architects, and storage admins, all staring at dashboards and talking over each other. Someone is manually pulling syslog data.
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By Shailesh Manjrekar
HIMSS 2026 made something clear: healthcare is no longer discussing digital transformation as a future-state goal. It is now dealing with the operational reality of having already become deeply digital. Conversations around HIMSS 2026 consistently pointed back to the same pressure points: AI adoption, cyber resilience, interoperability, and infrastructure modernization. Together, they reflect a healthcare environment managing more systems, more dependencies, and more risk than ever before.
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By Shailesh Manjrekar
The agentic AI security stack is taking shape , fast. At GTC 2026, NVIDIA unveiled NemoClaw, an open-source stack that wraps OpenClaw with enterprise-grade privacy controls, local inference via Nemotron models, and the OpenShell sandboxed runtime. Days later at RSAC 2026, Cisco launched DefenseClaw, an open-source governance framework that scans every agent skill, MCP server, and plugin before admission , and enforces block/allow policies at runtime with sub-two-second enforcement.
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By Shailesh Manjrekar
The disconnect between enterprise confidence and AI capability is real. MIT reports fewer than 5% of enterprises have achieved measurable ROI from AI, yet Cisco claims 13% feel ready. The gap isn’t about AI technology—it’s about organizational rigidity and change management. More importantly, most studies focus on business intelligence rather than operational use cases, which are far less risky and more measurable.
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By Shailesh Manjrekar
This post highlights the biggest Cisco AI Summit takeaways that came up again and again in Cisco Live conversations, and what they mean for teams operating AI in production. If you are following the broader AgentOps movement and the rise of agentic workflows, Fabrix.ai’s point of view is grounded in a core idea: AI agents create value only when they can be operated safely and consistently. A good starting point is here: Fabrix.ai’s approach to agentic.
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By Shailesh Manjrekar
As Agentic AI moves into enterprise environments, IT and security leaders face a critical challenge on how to leverage advanced LLMs without exposing sensitive data, intellectual property, or proprietary configurations to the cloud. You cannot build a self-driving, autonomous IT infrastructure if your security team blocks the deployment, and that’s exactly why the Fabrix.ai platform features an Enterprise-Grade LLM Integration architecture anchored by our built-in Data Security layer.
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By Tejo Prayaga
At Fabrix.ai, we are constantly pushing the boundaries of what Agentic AI and AIOps can achieve. We are happy to announce the release of Fabrix.ai platform version 8.2, packed with capabilities that make managing your IT environment more intuitive, secure, and perfect.
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By Shailesh Manjrekar
The energy at Cisco Live EMEA in Amsterdam (February 9-13, 2026) was primarily driven by groundbreaking AI announcements, & the event provided Fabrix.ai an opportunity to strengthen our strategic position alongside Cisco and Splunk ecosystems. The event’s focus on AI, highlighted by the recent Cisco AI Summit, emphasizes a clear market direction in which Fabrix.ai is perfectly poised to accelerate innovation.
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By Shailesh Manjrekar
The enterprise technology market is at an inflection point. 2026 will be the year agentic AI fundamentally disrupts how organizations approach observability, security, and IT automation. The traditional SaaS model—with its sprawling ecosystem of disconnected point solutions—is collapsing under complexity. What’s replacing it is a consolidated platform layer powered by autonomous agents that operate across systems, consolidate data, and execute workflows autonomously.
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By FabrixAI Inc
We build AI agents that operate reliably at scale within real enterprise networks.
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By FabrixAI Inc
What does real enterprise-ready Agentic AI look like in production? In this video, we break down how a Fortune 500 enterprise used Fabrix.ai’s Agentic AI platform to detect, diagnose, and resolve a critical application issue in just 5 minutes—without moving their data or replacing existing tools. If you're exploring Agentic AI, AIOps, or enterprise automation, this is a must-watch.
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By FabrixAI Inc
Join Shailesh Manjrekar (Chief AI & Marketing Officer) for a quick walk through the Gartner IOCS conference in Las Vegas. In this video, Shailesh takes you from the "hype" of the session rooms straight to the Fabrix.ai booth, where we are showing the reality of how we help enterprises Build, Run, and Observe AI Agents today. Attending the conference? Come say hi! at Booth:#522.
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By FabrixAI Inc
The Future of Digital & IT Operations - Agents in Action: Observability, AIOps, Security & SRE.
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By FabrixAI Inc
The Future of Digital & IT Operations - Agents in Action: Observability, AIOps, Security & SRE.
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By FabrixAI Inc
The Future of Digital & IT Operations - Agents in Action: Observability, AIOps, Security & SRE.
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By FabrixAI Inc
Explore Fabrix.ai + Splunk battle-tested solutions Splunk Apps & AI Tools: Asset Analytics, Unified Network Observability, and new AI-driven agent tools and copilots – all validated with major Cisco environments and over 1700 data sources.
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By FabrixAI Inc
In this engaging discussion, Bob Laliberte, Shailesh Manjrekar from Fabrix.ai, and Zeus Kerravala from ZK Research delve into the upcoming half-day summit, "Agentic AI Unleashed: The Future of Digital and IT Operations." They explore the critical need for enterprises to operationalize AI effectively, demystifying common misconceptions while addressing the transition from pilot projects to scalable AI solutions. Join them for valuable insights into the evolving landscape of agentic AI and its role in future business operations.
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By FabrixAI Inc
In this segment, Shailesh previews the exciting platform demos and agentic use cases to be featured at the summit. He likens their agentic platform to an operational operating system for machine learning and operational data, outlining its three key pillars: Data Fabric, AI Fabric, and Automation Fabric. This innovative framework not only utilizes LLMs effectively but also ensures robust context engineering and action automation, supporting seamless integrations with tools like Splunk ITSI and Cisco BPA. Get ready to explore the future of operational intelligence!
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Fabrix AI is a an application analytics & intelligence company that provides cross-layer and cross-domain application operations insights irrespective of underlying technology stacks to meet the desired business and operational outcomes.
Fabrix AI helps customers with consistent and guaranteed delivery of application performance and agility from business and operations point of view. Fabrix AI allows enterprises to holistically transform and govern many transforming entities such as people, processes, applications and operations to meet business outcomes in a consistent, quantifiable and insights driven automated manner.
AI & ML Driven IT Operations and Decisions at Scale:
- Observability in a Box: Fabrix AI Observability solution comes with native support of monitoring infrastructure, application, services of both traditional and cloud native architectures with metrics, logs and traces using open source technologies. Customers can also ingest data from 3rd party tools to standardize access of observability data across the enterprise.
- Alert Noise Reduction: Ingest logs, events and traces from any monitoring tool (APM, ITIM, Cloud, Log etc.) to perform high-scale unsupervised ML driven from multiple data sources to reduce alert noise, reduce tickets and bring actionability to incidents.
- Accelerate Incident Resolution: Accelerate incident resolution by having all the incident context, incident causing alerts, CI/stack impact assessment, triage data like time series metrics & logs, root cause insights, in-place collaboration console and diagnostic tools - all at one place.
- Predictive Insights: Proactively watch critical IT services or stacks to predict or prevent IT failures, by continuously observing leading indicators, anomalies, correlated behaviors or user specified outcomes. Stacks or services are automatically learned by system, but can also be fetched from CMDB or manually defined by administrator.
- Asset Intelligence & Analytics: Gain real-time 360-degree IT asset visibility, utilization and dependencies, along with key insights about upcoming lifecycle events (like end of sale/support/life), supportability risks due to missing or out-of-contract assets, identify non-compliant assets and measure/track enterprise specific plan of record or compliance policies.
Unified Observability lens to your Full-Stack, Hybrid-Cloud environment.