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Trend Micro Unveils Comprehensive AI Risk Management Solutions for Enterprises

Trend Micro, a renowned leader in global cybersecurity, is gearing up to launch its groundbreaking Trend Vision One™ AI Security Package at the upcoming AWS reInvent event in December. This innovative offering promises to be the first of its kind, delivering proactive and centralized exposure management specifically designed for AI-driven environments.

What Makes Trend Vision One™ Unique?

The new AI Security Package provides complete protection for the AI application stack—from the initial model development phase to runtime—ensuring that organizations benefit from robust security measures throughout all stages of AI deployment. This package will be unveiled alongside a series of other cutting-edge AI security capabilities, further reinforcing Trend Micro's commitment to innovation in cybersecurity.

Rachel Jin, Chief Platform and Business Officer at Trend Micro, emphasized the critical need for oversight in the rapidly evolving landscape of AI technology. She stated, "Innovation without oversight is a risk businesses cannot afford. Our goal is to provide the framework for AI safety and align AI transformation with security and trust. By implementing these principles from the outset, organizations can confidently advance as AI becomes integral to their growth."

Addressing the Security Gap in AI Systems

As organizations increasingly build and deploy AI systems at an accelerated pace, many face significant challenges concerning visibility into how these systems make decisions and process data. Traditional security tools that were designed for endpoints, networks, and cloud environments fall short in addressing AI-specific vulnerabilities such as prompt injection, data poisoning, or output manipulation. This leaves many organizations exposed to potential threats and errors due to an ineffective understanding of their AI models.

Trend Vision One™ addresses these concerns by offering a comprehensive solution capable of detecting risks in AI models and automatically implementing intelligent guardrails to safeguard them against potential threats. The AI Application Security component is instrumental in this approach, continuously monitoring AI models to identify vulnerabilities and applying necessary defenses in a seamless, automated manner.

The Current State of AI Security Awareness

Despite a growing awareness of AI-related risks, recent statistics from the World Economic Forum indicate that only 37% of organizations evaluate AI security prior to deploying their systems. This oversight is concerning, particularly given that the average cost of a data breach surpasses $4.4 million. Clearly, the need for stronger AI security measures is urgent.

To combat emerging threats and streamline security management processes, Trend Micro is rolling out several integrated tools that provide proactive, AI-enhanced protection in cloud-native environments. Key offerings include:

• - AI Security Blueprint and Risk Insights: This provides a comprehensive view of AI governance, offering auditable compliance insights to safeguard proprietary models throughout the development pipeline and execution.
• - Cloud Risk Management (CRM) - Project View: This feature breaks down development and security silos by providing real-time monitoring, instant threat notifications, and complete visibility across supply chain pipelines. It allows for agentless vulnerability detection across various cloud platforms including Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP).
• - Container Code Security: This tool moves security evaluation earlier in the development cycle, automating many manual tasks and ensuring consistent policy enforcement. It includes enhanced runtime protection capabilities for critical system files.
• - File Security with NetApp Storage Support (FSx): This offers real-time malware and ransomware defense for cloud storage without transferring files outside the secure environment. It ensures that scanning is conducted locally, maximizing security.
• - Agentic SIEM with AWS Native Logs Integration: This combines real-time observability with automated security response protocols, enabling the quick ingestion of new cloud application logs to interrelate them with Trend's threat intelligence.
• - Zero Trust Secure Access - AI Secure Access: This empowers organizations to enforce granular access policies that control interaction with generative AI tools, mitigating risks associated with sensitive data exposure and shadow IT.

Dave Gruber, Principal Analyst at Omdia, highlights that as organizations rush to leverage AI for competitive advantage, they also face substantial risks that necessitate comprehensive visibility and governance during the development, deployment, and operation of AI models.

Conclusion

Through the introduction of the Trend Vision One™ AI Security Package and its range of integrated tools, Trend Micro is redefining how organizations can manage AI-related risks. As digital transformation accelerates, the clarity and foresight provided by these innovations will be invaluable in enabling organizations to protect themselves against a rapidly evolving threat landscape. For more information about the AI security package and additional innovations from Trend Micro at AWS reInvent 2025, interested parties can visit Trend Micro's dedicated webpage.