TrendAI, an enterprise AI security unit of Trend Micro Incorporated, says it is expanding its use of Anthropic’s Claude Opus 4.7 model across its security platform to support threat intelligence and vulnerability research.
In a media release, TrendAI said the collaboration is intended to help organisations identify, prioritise and mitigate exploitable vulnerabilities before they are used in attacks, including where code fixes may take time to deploy.
The company said it is participating in Anthropic’s Cyber Verification Program (CVP), which provides a credentialing pathway for vetted cybersecurity professionals to access frontier AI models for defensive security tasks.
The announcement comes as Anthropic has formally launched a Sydney office, led by Theo Hourmouzis, citing demand in Australia and New Zealand, according to the release.
Mick McCluney, ANZ Field CTO at TrendAI: “AI is dramatically accelerating vulnerability discovery, but remediation timelines haven’t kept pace. Our collaboration with Anthropic ensures that organisations get the best vulnerability threat intelligence and the ability to reduce risk across their environments before attacks take place.”
TrendAI said its AI-Enhanced Security, Intelligence, and Research (AESIR) platform—launched in 2025—uses Claude Opus 4.7 to analyse software ecosystems for what is reachable, controllable and exploitable, and to help discover and validate vulnerabilities with human oversight.
The company said TrendAI Vision One uses those findings to prioritise issues, map attack paths and support mitigation measures including virtual patching across hybrid environments.
TrendAI also said AESIR has worked with Trend Micro’s Zero Day Initiative (ZDI) on patching for critical CVEs across AI platforms and tooling, and pointed to its State of AI Security Report projecting between 2,800 and 3,600 AI-related CVEs in 2026.
The release claimed Claude Opus 4.7 outperforms OpenAI’s GPT-5.4 and Google’s Gemini 3.1 Pro on benchmarks in complex reasoning and research.
Anthropic described itself as an AI safety and research company focused on “reliable, interpretable, and steerable” AI systems, and said its Claude models support applications including code understanding and security analysis.
