Trend Micro Incorporated and Anthropic Enhance Risk Prioritisation in Cybersecurity with Claude Opus 4.7
DALLAS, May 3 — Cybersecurity is entering a new phase where artificial intelligence is not only used to detect vulnerabilities, but to determine real-world risk and enable faster response before exploitation occurs.
In this context, Trend Micro Incorporated, through its TrendAI™ platform, has announced a collaboration with Anthropic to expand the use of Claude Opus 4.7 in security research.
The partnership aims to close a critical gap between vulnerability discovery and effective mitigation in real-world environments.
TrendAI™ noted that while AI can now identify vulnerabilities at unprecedented speed, organisations often struggle to determine which ones pose the highest risk.
With Claude Opus 4.7, systems can analyse code and infrastructure from an attacker’s perspective, assessing reachability, control and exploitability across complex environments.
TrendAI™ is also participating in Anthropic’s Cyber Verification Program, which enables the controlled use of advanced AI models for defensive purposes.
Rachel Jin, chief platform and business officer at TrendAI™, said the approach is crucial to ensure organisations can act before threats materialise.
“Vulnerability discovery is happening at machine speed, but mitigation is still slow. We need intelligence that understands real risk,” she said.
To support this approach, TrendAI™ developed AESIR (AI-Enhanced Security, Intelligence, and Research), an AI-driven security research platform launched in 2025.
AESIR uses Claude Opus 4.7 to simulate attack paths, identify exploitable vulnerabilities and validate them automatically.
This allows organisations not only to detect weaknesses but to understand their real operational impact.
The insights are integrated into TrendAI Vision One™, enabling organisations to prioritise risks, map attack paths and implement mitigation strategies such as virtual patching and exploit detection.
In production environments, where vulnerabilities are often discovered after deployment, rapid response capabilities are critical.
TrendAI™ estimates that AI-related vulnerabilities will surge, with between 2,800 and 3,600 CVEs expected in 2026 alone.
AESIR was specifically designed to operate at this scale.
The platform has already identified critical vulnerabilities across major ecosystems, including NVIDIA and Tencent, accelerating remediation efforts.
The collaboration reflects a broader shift toward risk-based cybersecurity strategies, where AI not only detects threats but also guides decision-making to reduce them effectively.
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