Trend Micro Incorporated, a global cybersecurity leader, will unveil at AWS re:Invent in December the Trend Vision One™ AI Security Package, an industry-first offering that pairs proactive, centrally managed exposure management with analytics purpose-built for AI-driven environments. The new solution is designed to secure every layer of the AI application lifecycle, from model development through to production runtime, and will be debuted alongside several other breakthrough AI security capabilities showcased at the event.
Rachel Jin, Chief Platform and Business Officer at Trend: “Innovation without oversight is a risk businesses cannot afford. Our goal is to provide the foundation for AI safety and guardrails to align AI transformation with security and trust. By building with these principles from the start, organizations can move forward with confidence as AI becomes central to their growth.”
Many companies are quickly using AI applications. Many people don’t grasp how these models make choices or process data. They also don’t see how threats can affect them. Traditional security tools for endpoints, networks, and the cloud can’t grasp model behavior. They also fail to guard against AI-specific attacks. These include prompt injection, data poisoning, and output manipulation. This gap puts organizations at risk. They face operational and reputational threats that old tools can’t fix.
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Trend Vision One™ AI Security Package directly addresses this challenge by offering a holistic approach in securing AI models. With AI Application Security, the AI Scanner continuously scans for model vulnerabilities and applies intelligent AI guardrails automatically to defend against newly emerging threats. A seamless, proactive closed-loop system manages AI risk without slowing innovation.
While the dangers of adopting AI are becoming increasingly apparent, many organizations still rush into deploying systems without due validation. According to the World Economic Forum’s 2025 research, only 37% of organizations review AI security before its deployment, even as the average cost of a data breach now crosses $4.4 million. “As organizations race to gain advantage through the use of AI throughout their operating environment, most face significant risks across many facets of AI security and governance,” said Dave Gruber, Principal Analyst at Omdia. “Mitigating these risks requires comprehensive visibility and governance throughout model and application development, deployment, and utilization.”