Reports
AI-generated structured vendor updates
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.
OpenAI Introduces Lockdown Mode and Elevated Risk Labels for ChatGPT
OpenAI has added Lockdown Mode and Elevated Risk labels to ChatGPT to help organizations defend against prompt injection attacks and AI-driven data exfiltration. This move signifies OpenAI's strategic advancement in enterprise-level AI security protection.
Cisco Establishes AgenticOps as Core IT Operating Model for AI Era
Cisco expands AgenticOps operating model across its full portfolio, covering networking, security and observability. Powered by Deep Network Model and cross-domain telemetry, it enables intelligent execution including autonomous troubleshooting, continuous optimization and trusted validation. This represents a key evolution of Cisco's platform strategy towards AI-driven closed-loop operations.
OpenAI Adds URL Security Protection for AI Agents
OpenAI announced new URL security protection features for its AI Agent platform, designed to defend against link-based data exfiltration and prompt injection attacks. The built-in safeguards enhance data security when AI agents access external links.
Trend Micro Reveals Novel Docker Desktop WSL2 VM Escape Attack Surface
Trend Micro has discovered novel virtual machine escape techniques in Docker Desktop under WSL2, allowing attackers to leverage exposed internal APIs and configuration mechanisms to break out of the container environment and execute arbitrary code on the host. This exposes serious security boundary risks hidden within development toolchains.
OpenAI Hardens ChatGPT Atlas Against Prompt Injection
OpenAI is enhancing ChatGPT Atlas's defenses against prompt injection attacks using reinforcement learning-based automated red teaming. This proactive discover-and-patch cycle aims to identify novel vulnerabilities as AI becomes more agentic.
OpenAI Releases GPT-5.2-Codex Safety Measures
OpenAI details safety measures for GPT-5.2-Codex, including model-level mitigations (such as specialized safety training for harmful tasks and prompt injections) and product-level mitigations (like agent sandboxing and configurable network access).
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.
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.