Cisco AI Canvas Description
The Agentic Era represents a significant shift from the conventional application-focused computing landscape to a new domain characterized by agentic AI, which comprises autonomous, context-sensitive systems adept at acting, learning, and collaborating within intricate, ever-changing environments. These advanced intelligent agents are not limited to merely executing commands; rather, they are equipped to handle entire tasks, retain context and memory through large language models that are specifically designed for various fields, and have the capability to scale across multiple industries, potentially affecting millions. This progression necessitates an innovative operational mindset known as AgenticOps, alongside a revamped management framework based on three core principles: ensuring that humans remain engaged to contribute creativity and discernment, allowing agents to function effectively across disconnected systems with comprehensive cross-domain insights, and utilizing specialized models meticulously adjusted for their unique functions. Cisco brings this vision to fruition with AI Canvas, the first generative workspace in the industry that utilizes a multi-data and multi-agent architecture, paving the way for enhanced collaboration and efficiency. Furthermore, this pioneering approach signifies a major advancement in how organizations can leverage AI to enhance productivity and foster innovation.
Cisco AI Canvas Alternatives
Gemini Enterprise Agent Platform is Google Cloud’s next-generation system for designing and managing advanced AI agents across the enterprise. Built as the successor to Vertex AI, it unifies model selection, development, and deployment into a single scalable environment. The platform supports a vast ecosystem of over 200 AI models, including Google’s latest Gemini innovations and popular third-party models. It offers flexible development tools like Agent Studio for visual workflows and the Agent Development Kit for deeper customization. Businesses can deploy agents that operate continuously, maintain long-term memory, and handle multi-step processes with high efficiency. Security and governance are central, with features such as agent identity verification, centralized registries, and controlled access through gateways. The platform also enables seamless integration with enterprise systems, allowing agents to interact with data, applications, and workflows securely. Advanced monitoring tools provide real-time insights into agent behavior and performance. Optimization features help refine agent logic and improve accuracy over time. By combining automation, intelligence, and governance, the platform helps organizations transition to autonomous, AI-driven operations. It ultimately supports faster innovation while maintaining enterprise-grade reliability and control.
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Daylight combines cutting-edge agentic AI with top-tier human skills to offer an advanced managed detection and response service that transcends mere notifications, striving to “take command” of your cybersecurity landscape. It ensures comprehensive monitoring of your entire environment, leaving no gaps, while providing context-sensitive protection that adapts and evolves based on your systems and historical incidents, including communications through platforms like Slack. This service boasts an exceptionally low rate of false positives, the quickest detection and response times in the industry, and seamless integration with your existing IT and security tools, accommodating limitless platforms and integrations while delivering actionable insights through AI-enhanced dashboards without unnecessary noise. With Daylight, you receive true comprehensive threat detection and response without the need for escalations, round-the-clock expert assistance, tailored response workflows, extensive visibility across your environment, and quantifiable enhancements in analyst efficiency and response time, all designed to transition your security operations from a reactive stance to a proactive command approach. This holistic approach not only empowers your team but also fortifies your defenses against evolving threats in the digital landscape.
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Trylli AI
Trylli AI is a next-generation AI voice calling system that replaces traditional telecalling with intelligent, human-like agents. It enables businesses to run inbound and outbound calls at scale for sales, customer support, reminders, collections, HR interviews, and renewals. Agents can be created using ready templates, chat-based setup, or advanced workflows, with flexible deployment across single or multiple numbers, shared or isolated memory, and even a Super Agent that switches context between multiple agents.
The platform integrates a knowledge base to deliver domain-specific responses, supporting raw data, FAQs, and prompts that define how agents behave. It offers multilingual support (English and Hindi to start), customizable voice options, call transfer, voicemail, and context-aware interactions.
Batch calling allows automated campaigns for lead generation, renewals, recovery, verification, and feedback, with built-in tools to handle duplicates and track outcomes. Every interaction is logged with recordings, analytics, and detailed reporting.
Powered by advanced AI models (Llama 3, Mistral, Kyutai TTS/STT) and a robust stack (Postgres, MongoDB, Redis, Neo4J), Trylli AI integrates with Twilio, Exotel, Slack, Jira, and CRMs through APIs and SDKs.
In short, Trylli AI delivers scalable, multilingual, and context-aware AI telecallers that work 24/7, handle thousands of calls simultaneously, and offer businesses an efficient, modern alternative to traditional telecalling.
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Cisco AgenticOps
AgenticOps represents a revolutionary approach that is reshaping enterprise IT operations to align with the requirements of an AI-centric future, utilizing AI agents to convert real-time telemetry, automation, and extensive domain expertise into smart, comprehensive actions that manage workflows across networking, security, and applications within a cohesive platform. Central to this innovation is Cisco’s Deep Network Model, a specialized large language model developed from over four decades of Cisco knowledge, which includes CCIE-level insights, CiscoU educational materials, and practical operational experiences, and has been enhanced through reinforcement learning, chain-of-thought reasoning, and test-time scaling to ensure both accuracy and speed. This sophisticated engine drives AI Canvas, the first generative user interface designed specifically for cross-domain IT operations, which synthesizes live telemetry data into a smart workspace. Users benefit from the integrated Cisco AI Assistant, enabling them to engage in natural language conversations to troubleshoot problems, investigate alternatives, identify root causes, and take corrective measures. This seamless integration of various functionalities enhances operational efficiency, allowing teams to respond swiftly and effectively to evolving challenges. Ultimately, the combination of these advanced technologies paves the way for a more agile and responsive IT environment.
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Company Details
Company:
Cisco
Year Founded:
1984
Headquarters:
United States
Website:
blogs.cisco.com/news/welcome-to-the-agentic-era-humans-agents-achieving-more-together
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