Reports
AI-generated structured vendor updates
NTT Docomo Deploys 5G Core on Hybrid Cloud with AI Agent Automation
NTT Docomo commercially deployed 5G core network on AWS hybrid cloud, achieving 80% faster deployment and 50% reduced fault response time through AI agent system. The system integrates Amazon Bedrock AgentCore and MCP for automated network data analysis and configuration management.
AWS Launches Bedrock-Powered AI Agents for Partner Sales Automation
AWS integrates AI agents powered by Amazon Bedrock AgentCore into Partner Central, using Model Context Protocol to connect partner tools for automated sales pipeline intelligence, opportunity field population, and funding eligibility identification.
Cisco Extends Zero Trust Security to AI Agent Ecosystem
At RSA 2026, Cisco introduced security innovations for AI agents, extending Zero Trust Access with agent discovery in Identity Intelligence, agentic IAM in Duo, and MCP enforcement in Secure Access SSE. It launched AI Defense: Explorer Edition for self-serve testing and DefenseClaw open source framework to automate security deployment.
Fortinet Integrates AI Agents and SASE in FortiOS 8.0
Fortinet introduces FortiOS 8.0 with fabric-based AI agents, secure AI controls, flexible SASE, and simplified SD-WAN to expand AI-driven security in enterprise networking, shifting control planes towards AI integration.
Cisco Launches AI-Driven Intelligent Support Platform IQ
Cisco released an IDC whitepaper highlighting the critical role of AI-driven intelligent support in IT operations and launched Cisco IQ solution. The platform offers five key capabilities including predictive management, automation, and unified integration, leveraging proprietary AI and network data.
NTT DOCOMO and AWS Enable AI-Automated 5G Core Hybrid Cloud Deployment
NTT DOCOMO partnered with AWS and NEC to deploy a commercial 5G core hybrid cloud in APAC, using AI agent systems based on Amazon Bedrock AgentCore. Automation via Model Context Protocol and GitOps reduced deployment time by 80%, while an operational AI system cut incident response time by 50% through real-time analysis of million-scale device data.
Trend Micro Report Highlights AI Supply Chain Risks and Model Attack Surfaces
Trend Micro's 'Fault Lines in the AI Ecosystem' report systematically analyzes security risks in the AI supply chain, including training data poisoning, third-party plugin vulnerabilities, and model theft attacks. It indicates that enterprise AI security boundaries have expanded from traditional IT infrastructure to the model layer and data pipelines.
Cisco Defines Security Architecture for Agentic AI Era with Expanded AI Defense and SASE Capabilities
Cisco announced major updates to its AI Defense solution, adding AI supply chain governance and runtime protections to mitigate risks of agentic AI compromise. Concurrently, Cisco SASE introduced AI traffic detection and optimization capabilities to ensure secure and reliable agentic workflows. These developments reflect Cisco's strategic focus on converging AI security with networking architectures.
Google Cloud Integrates MCP with Apigee and Advances Agentic Platform to Evolve Enterprise APIs for AI Agents
Google Cloud announced the general availability of Model Context Protocol (MCP) in Apigee and the advancement of its Agentic Platform, aiming to transform traditional enterprise APIs into secure, governed tools for AI agents at scale. This move integrates API governance, security layers, and AI inference infrastructure, providing core platform capabilities for enterprises shifting from API-driven to agent-driven architectures.