AI

LLM as a Judge: Evaluating Accuracy in LLM Security Scans

August 04, 2025

As large language models (LLMs) become more capable and widely adopted, the risk of unintended or adversarial outputs grows, especially within a security-sensitive context. To identify and mitigate such risks, Trend Micro researchers ran LLM security scans that simulate adversarial attacks.

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AI

LLM as a Judge: Evaluating Accuracy in LLM Security Scans

Trend Micro State of AI Security Report 1H 2025

The Road to Agentic AI: Navigating Architecture, Threats, and Solutions

Exploiting Trust in Open-Source AI: The Hidden Supply Chain Risk No One Is Watching

Email Threat Landscape Report: Evolving Threats in Email-Based Attacks

Trend 2025 Cyber Risk Report

AI in the Crosshairs: Understanding and Detecting Attacks on AWS AI Services with Trend Vision One™

The Easy Way In/Out: Securing The Artificial Future, Trend Micro Security Predictions for 2025

AI Assistants in the Future: Security Concerns and Risk Management

Silent Sabotage: Weaponizing AI Models in Exposed Containers

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