TrendAI, the enterprise AI security leader from Trend Micro Incorporated, announced a collaboration with Anthropic to support the expanded deployment of Claude Opus 4.7 for security research. Through this collaboration, organisations can reduce real-world risk faster by leveraging AI-accelerated threat intelligence to identify, prioritise, and mitigate exploitable vulnerabilities before they impact the business.

TrendAI is participating in Anthropic's Cyber Verification Program, which provides credentials for the defensive use of frontier AI models.

Rachel Jin, Chief Platform and Business Officer, Head of 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 launched AESIR (AI-Enhanced Security, Intelligence, and Research), an AI-powered internal security research platform that combines machine-speed automation with human expert oversight, in 2025. AESIR uses Claude Opus 4.7 to reason like an attacker, determining what's reachable, what's controllable, and what's exploitable across complex software ecosystems. At scale, this means autonomously discovering and proving real vulnerabilities. TrendAI Vision One builds on these insights by prioritising, mapping attack paths, and enabling swift mitigation—including virtual patching—across hybrid environments.

TrendAI is operating at the intersection of the two most critical dynamics in cybersecurity today: the AI models driving the new threat landscape, and the AI-powered defences needed to match them. AESIR has already uncovered and, with ZDI, collaborated on patching for critical CVEs across industry-leading AI platforms, including NVIDIA, Tencent, agentic frameworks, and MCP tooling. The TrendAI State of AI Security Report projects between 2,800 and 3,600 AI CVEs in 2026 alone; AESIR was built precisely to operate at that scale.