Reports
AI-generated structured vendor updates
NVIDIA Publishes Tutorial for Converting Lightweight LLM into Terminal AI Agent
NVIDIA released a developer tutorial guiding users to build an AI agent that understands natural language and executes Bash commands, using its open-source Nemotron Nano v2 model within roughly 200 lines of Python code. The tutorial emphasizes building from scratch and simplifying with LangGraph, focusing on safe tool calling and human-in-the-loop control.
Trend Micro Highlights Power Automate as an Enterprise Automation Security Blind Spot
Trend Micro's research report reveals that the complexity of low-code automation tools like Microsoft Power Automate is being exploited by cybercriminals to evade detection and exfiltrate data. The study highlights critical security risks from visibility gaps within automation platforms and warns of growing demand for such attack capabilities in the cybercriminal underground.
Microsoft Launches Phi-4 SLM Series to Enhance Edge AI and Multimodal Reasoning
Microsoft introduced the Phi-4 family of small language models (SLMs), featuring the 5.6B-parameter Phi-4-multimodal capable of processing speech, vision and text. The models are now available in Azure AI Foundry, HuggingFace and NVIDIA's API Catalog with optimized edge computing capabilities.
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.
Trend Micro Exposes Azure DNS Design Flaw Enabling Cloud Infrastructure Takeover
Trend Micro's TrendAI™ research team disclosed a security vulnerability "by design" in the Azure cloud platform. DNS records of deleted Azure resources may persist, allowing attackers to exploit these lingering DNS names to hijack trusted endpoints and compromise dependent systems, highlighting a critical but often overlooked trust inheritance risk in cloud infrastructure.