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Trend Micro Other High Signal 2026-03-03

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 Other Medium Signal 2026-02-09

OpenAI Tests Ads in ChatGPT for Monetization

OpenAI is testing ad placements in ChatGPT to sustain free access while maintaining answer independence, clear labeling and privacy protections. This marks a pivotal exploration in generative AI service monetization.

Cisco Other 2025-12-04

Cisco-OECD Research Reveals Geographic and Generational Divides in AI Adoption: Emerging Markets Lead, Youth Drive Usage

Cisco-OECD joint research finds emerging economies like India, Brazil, Mexico, and South Africa lead globally in GenAI adoption rates, trust, and engagement, with the under-35 demographic as the primary driver. The insights inform Cisco's Digital Impact Office strategy to bridge digital divides via initiatives like Networking Academy and Country Digital Acceleration programs.

Trend Micro Other High Signal 2025-09-08

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 Other High Signal 2020-10-11

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.