Imagine managing a racing team during a championship race.\u00a0<\/p>\n
Success is not\u00a0determined\u00a0by a single driver alone. It depends on a highly coordinated team\u00a0operating\u00a0in real time. Engineers analyze telemetry continuously. Strategists predict changing track conditions. Pit crews execute precision adjustments. Analysts\u00a0identify\u00a0risks before they become failures. Every team member specializes in a different function, yet all\u00a0must\u00a0work together dynamically to keep the car performing at peak efficiency under constantly changing conditions.\u00a0<\/p>\n
Modern network operations face a very similar challenge.\u00a0<\/p>\n
Today\u2019s large-scale infrastructure networks are living, constantly evolving systems. Traffic patterns shift unpredictably. AI is reshaping workloads and infrastructure demands. Multivendor environments generate overwhelming volumes of telemetry while operational data remains siloed across domains. Even with automation in place, operations teams often remain trapped in reactive workflows, manually troubleshooting incidents, correlating alarms across disconnected domains, and resolving issues only after services are impacted.\u00a0<\/p>\n
It\u2019s\u00a0no\u00a0longer\u00a0enough to\u00a0simply\u00a0automate\u00a0individual tasks.\u00a0Instead, teams must enable\u00a0intelligent operational teamwork at machine speed.\u00a0<\/p>\n
This is where\u00a0Cisco Crosswork\u00a0Network\u00a0Automation\u00a0is\u00a0changing the paradigm of\u00a0network operations.\u00a0<\/p>\n
At\u00a0Cisco Live, we are introducing the next evolution of the Cisco Crosswork Network Automation ste:\u00a0Cisco Crosswork\u00ae\u00a0AI,\u00a0a\u00a0secure, scalable multi-agentic framework designed to\u00a0act as\u00a0an extension of\u00a0your\u00a0network\u00a0team.\u00a0Much like a championship racing team, specialized AI agents work together continuously,\u00a0reasoning through problems,\u00a0identifying\u00a0risks, troubleshooting complex issues,\u00a0validating\u00a0operational intent, and recommending corrective actions in real time.\u00a0<\/p>\n
Cisco Crosswork\u00a0Network\u00a0Automation is the heartbeat of our\u00a0Agile Services Networking<\/a>\u00a0architecture for AI connectivity,\u00a0enabling\u00a0teams to\u00a0operate\u00a0resilient,\u00a0AI-ready networks at scale.\u00a0<\/p>\n \u00a0<\/p>\n Empower your team with\u00a0a\u00a0secure,\u00a0scalable\u00a0multi-agentic\u00a0platform\u00a0<\/p>\n Cisco Crosswork\u00a0AI is a transformative multi-agentic AI framework integrated within Cisco Crosswork Network Automation,\u00a0debuting with a powerful\u00a0team of specialized agents designed to tackle the most demanding operational challenges.\u00a0\u00a0Crosswork\u00a0AI\u00a0\u00a0Cisco\u00a0AI Canvas<\/a>(the\u00a0that\u2019s part of\u00a0<\/a>),\u00a0to\u00a0provide unified, cross-domain management.\u00a0<\/p>\n Deep network troubleshooting:\u00a0Like race engineers diagnosing performance anomalies in real time, these agents reason through complex issues, evaluate hypotheses, and pinpoint root causes with precision to reduce\u00a0mean time to repair\u00a0(MTTR),\u00a0minimizing\u00a0service downtime.\u00a0\u00a0 This extensible framework supports an expanding ecosystem of agents, both out-of-the-box and customized, with the ability to bring your own agents through the agent development kit (ADK). With capabilities such as agent evaluation, a knowledge graph, and an agent catalog, the framework establishes a strong operational foundation for agentic operations, enabling networks to evolve from automated systems to intelligent operational teams.\u00a0<\/p>\n Crosswork\u00a0AI\u00a0multi-agentic architecture\u00a0has already been recognized on the industry stage. The platform was featured in the\u00a0TM Forum Catalyst project \u201cGame X,\u201d<\/a>\u00a0selected as a Moonshot project,\u00a0an honor reserved for initiatives demonstrating transformative potential for the telecommunications\u00a0industry. This recognition underscores\u00a0how\u00a0Crosswork\u00a0AI\u00a0can\u00a0power next-generation, AI-driven network operations at scale. <\/p>\n Automate\u00a0and\u00a0assure\u00a0the\u00a0complete\u00a0lifecycle of\u00a0network\u00a0operations\u00a0<\/p>\n In\u00a0racing,\u00a0winning is not about excelling in a single lap. Success depends on orchestrating the entire race lifecycle,\u00a0from pre-race planning and strategy simulation to live telemetry analysis, pit-stop execution, and continuous optimization throughout the race.\u00a0<\/p>\n The same principle applies to modern network operations.\u00a0<\/p>\n The true value of Crosswork lies in its ability to manage the entire network lifecycle, from device onboarding to end-to-end service delivery including planning, orchestration, assurance, optimization,\u00a0and troubleshooting.\u00a0<\/p>\n Crosswork enables organizations to:\u00a0<\/p>\n Unify visibility:\u00a0Similar to\u00a0how race engineers\u00a0maintain\u00a0complete visibility into vehicle performance, tire conditions, fuel strategy, and competitor positioning, Crosswork provides comprehensive end-to-end visibility across topology, telemetry, and service health with AI-enhanced operational clarity.\u00a0\u00a0 The platform continuously translates\u00a0business and\u00a0operational intent into network reality.\u00a0<\/p>\n Enable\u00a0automation\u00a0that\u2019s\u00a0multivendor,\u00a0open, and\u00a0extensible\u00a0<\/p>\n The modern network is rarely a single-vendor environment. Crosswork leverages standard APIs and protocols, including NETCONF, RESTCONF, TAPI,\u00a0OpenConfig, and native YANG data models, as well as streaming telemetry from gRPC, BGP-LS, and gNMI, to enable effective automation across multivendor environments. \u00a0<\/p>\n By adhering to open, industry-recognized interfaces, Crosswork\u00a0allows for\u00a0interoperability without vendor lock-in,\u00a0enabling\u00a0teams to easily\u00a0adopt\u00a0new technologies, platforms, and domains.\u00a0\u00a0<\/p>\n This commitment to openness is backed by independent, real-world validation\u00a0across top-tier service\u00a0provider,\u00a0public sector,\u00a0and\u00a0enterprise\u00a0multivendor\u00a0networks across the world.\u00a0In the European Advanced Networking Test Center\u00a0(EANTC)\u00a0interoperability showcase, Crosswork\u00a0successfully automated services across a diverse ecosystem of vendor devices<\/a>,\u00a0demonstrating\u00a0multivendor\u00a0richness\u00a0in a live, heterogeneous environment.\u00a0\u00a0<\/p>\n We recognize that real-world networks often include legacy systems and specialized devices that do\u00a0not support standardized interfaces. To\u00a0solve for\u00a0multivendor\u00a0automation in any environment, Crosswork\u00a0provides an open SDK for\u00a0customized packages\u00a0and agents to handle\u00a0proprietary integrations,\u00a0helping ensure\u00a0no device or domain is left behind.\u00a0<\/p>\n Whether your environment is built on the latest standards-based platforms or includes a mix of legacy and proprietary systems, Crosswork delivers\u00a0consistent, end-to-end automation,\u00a0protecting existing investments while accelerating modernization.\u00a0\u00a0<\/p>\n Accelerate your\u00a0autonomous networking\u00a0journey\u00a0<\/p>\n This multi-agentic evolution is more than just a feature update.\u00a0It is a fundamental shift in how network assurance and automation\u00a0are approached.\u00a0\u00a0<\/p>\n We look forward to\u00a0showcasing\u00a0these innovations at Cisco Live\u00a02026 in Las Vegas\u00a0and\u00a0demonstrating\u00a0how\u00a0Cisco Crosswork\u00a0AI,\u00a0part of our broader Cisco\u00a0vision for\u00a0agentic\u00a0operations,\u00a0can help organizations accelerate their journey toward resilient, intelligent, and autonomous networking.\u00a0<\/p>\n
\nRisk factor detection:\u00a0Similar to\u00a0strategists\u00a0anticipating\u00a0tire degradation or changing track conditions before they\u00a0impact\u00a0race performance, these agents uncover hidden combinations of variables that trigger network degradation, helping resolve issues proactively before services are affected.\u00a0\u00a0
\nConfiguration drift remediation:\u00a0Much like\u00a0the team members who\u00a0help ensure\u00a0every race car\u00a0component\u00a0remains\u00a0calibrated to exact specifications throughout the race, these agents continuously detect configuration drift,\u00a0identify\u00a0variances using AI trained on device configurations, and provide remediation recommendations to\u00a0maintain\u00a0operational consistency.\u00a0\u00a0<\/p>\n
\nCorrelate insights:\u00a0Just as racing teams transform thousands of telemetry signals into strategic race decisions, Crosswork converts\u00a0multisource\u00a0telemetry, service, and state data into actionable intelligence that improves operational precision and business outcomes.\u00a0\u00a0
\nDrive action:\u00a0Like a\u00a0smooth,\u00a0perfectly timed pit stop that restores peak performance without disrupting the race, Crosswork\u00a0enables effective, streamlined\u00a0lifecycle operations through automated provisioning, AI-guided remediation, and closed-loop operational workflows.\u00a0\u00a0<\/p>\n