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AIVideosTechstrong TV - February 27, 2026
DevOpsAICybersecurityEnterprise

Techstrong TV - February 27, 2026

•February 28, 2026
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Techstrong TV (DevOps.com)
Techstrong TV (DevOps.com)•Feb 28, 2026

Why It Matters

Forward AI demonstrates how AI can be safely integrated into critical network infrastructure, offering enterprises faster, more reliable operations while mitigating the risks of unchecked automation.

Key Takeaways

  • •Forward Networks launches Forward AI, a conversational agentic platform
  • •AI strategy built on mathematically accurate digital twin of networks
  • •Chief AI Officer emphasizes data quality and trust for safe automation
  • •Forward AI integrates with existing SDN tools, not a wholesale rebuild
  • •Company will demo solutions at Cisco Live, RSA, and Vegas events

Summary

Techstrong TV featured Nikquille Hondigal, co‑founder and Chief AI Officer of Forward Networks, to discuss the company’s evolution from a software‑defined networking (SDN) startup to an AI‑enabled network operations provider. Founded twelve years ago by Stanford PhDs, Forward Networks has maintained its mission to make global networks agile, predictable, and secure, while recognizing that network complexity now exceeds human capacity. To bridge this gap, the firm introduced Forward AI, a conversational, agentic system that leverages a mathematically accurate digital twin to execute multi‑step workflows safely.

Hondigal explained that Forward AI is not a generic AI overlay but a purpose‑built platform that relies on two pillars: high‑quality data and verifiable trust. The system ingests natural‑language commands from network, security, or cloud operators, translates intent into actionable plans, and autonomously carries out tasks through a series of orchestrated steps. By grounding decisions in the digital twin, the AI can reason about network state with precision, reducing the risk of erroneous actions in critical infrastructure.

The interview highlighted customer feedback that the company’s decade‑long foundation in SDN and observability is essential for AI success. Rather than discarding legacy tools, Forward Networks grafts AI onto proven monitoring, tracing, and analytics capabilities, avoiding the “magic‑AI‑on‑raw‑data” myth. The firm also announced an aggressive demo schedule, inviting prospects to request live demonstrations via its website, explore the Forward Quest sandbox, and meet the team at upcoming events such as Cisco Live Europe, Cisco Live US, and RSA in San Francisco.

For enterprises, Forward AI promises to accelerate network operations, improve reliability, and enhance security without sacrificing control. By combining trusted data, a rigorous digital twin, and conversational interfaces, Forward Networks positions itself as a leader in the emerging “agentic operations” paradigm, where autonomous agents augment human operators in managing increasingly complex and mission‑critical networks.

Original Description

Taming Network Complexity: Forward Networks Co-Founder Nikhil Handigol explains why autonomous network operations require mathematically accurate digital twins, enabling AI agents to reason, plan and execute safely on a foundation of provable network truth.
Securing the AI Software Supply Chain: ActiveState CTO/CPO Bob Shaker details how agentic AI is curating and validating 79 million open-source components to eliminate hidden vulnerabilities, reduce AI-driven technical debt and prevent compromised dependencies.
Zero Trust for the AI Browser Era: Zscaler EVP Dhawal Sharma outlines how the SquareX acquisition strengthens browser-native security, enforcing intent-based guardrails and mitigating Shadow AI exfiltration with observability-first architecture.
Customer Success at Scale: Microsoft’s Clay Wesener shares how enterprises like Wells Fargo are modernizing regulated workflows using Copilot Studio agents and Power Apps—highlighting architecture, governance and measurable business impact.
Data & the Great AI Acceleration | Predict 2026: As the “fog of AI” lifts, enterprises shift from demos to governed, interoperable systems—elevating data professionals into stewards of agentic analytics and trustworthy AI ecosystems.
Tech Field Day News Rundown: From global AI privacy warnings and rising energy scrutiny to agent alignment, quantum networking milestones and hyperscaler infrastructure debates, the next phase of AI will be defined by governance, power economics and operational accountability.
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