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LLM as a Judge: Evaluating Accuracy in LLM Security Scans

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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Keeping abreast of today’s threat landscape is non-negotiable. Enterprises, service providers, and the Internet-at-large would benefit in knowing the latest in technology and threats so they can actively secure their data and systems against compromise. Skimming security news provides a high-level idea of what’s going on in the real world, but to build effective security strategies, organizations and individuals need to get a better look of what goes on beyond the surface.

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LLM as a Judge: Evaluating Accuracy in LLM Security Scans

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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    Download our latest TrendLabs Security Roundups and Predictions reports
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    Trend Micro State of AI Security Report 1H 2025

    Trend Micro’s State of AI Security report explores how AI’s rapid adoption is transforming both business efficiency and cybercrime methods, highlighting novel threats and strategic defenses to help organizations adapt in an increasingly AI-driven world.
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      Download our latest TrendLabs Security Predictions

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

      Consumer data will be the hot commodity in the underground for 2025, with cybercrime expected to cost over $10 trillion in this coming year. Criminals will continue to develop new ways to exploit vulnerable areas, increasing enterprise risk as the attack surface expands.
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