Reports
AI-generated structured vendor updates
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.
Check Point AI Factory Blueprint: Security Control Shifts to NVIDIA DPU and LLM Layer
Check Point unveils AI Factory Security Blueprint, tightly integrating its firewall with NVIDIA BlueField DPU via DOCA. The architecture enforces security at four layers: LLM, AI infrastructure, perimeter, and workload. The new AI Factory Firewall delivers hardware-accelerated threat prevention without consuming CPU/GPU cycles, aiming to embed security into the AI fabric.
Cisco Advances AI-Ready Networking Strategy with Wi-Fi 7 Campus Deployment
Cisco partners with Georgetown University for a large-scale Wi-Fi 7 campus deployment, featuring automated analytics, unified access layer management and multi-layered security to create AI-ready infrastructure for research applications.
Anthropic Launches Project Glasswing: AI Model Autonomously Finds Zero-Days, Reshaping Cyber Defense
Anthropic announces Project Glasswing, partnering with AWS, Apple, Cisco, Google, Microsoft, NVIDIA, and others to use its frontier model Claude Mythos Preview for autonomous vulnerability discovery. The model found thousands of zero-days, including decades-old flaws in OpenBSD, FFmpeg, and Linux kernel. Anthropic commits $100M in usage credits, aiming to shift cybersecurity to AI-driven defense at scale.
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.