Trend Vision One: Proactive AI Security for Your Environment
▼ Summary
– Trend Micro will launch its AI Security Package in December to provide centralized exposure management and protect AI applications from development through runtime.
– Traditional security tools are inadequate for AI-specific risks like prompt injection and data poisoning, leaving organizations exposed to threats they cannot address.
– The solution offers continuous monitoring with AI guardrails to automatically detect vulnerabilities and protect models through proactive risk management.
– Only 37% of organizations assess AI security before deployment despite data breach costs exceeding $4.4 million, highlighting a critical security gap.
– The package includes integrated tools for AI governance, cloud risk management, container security, and zero trust access to simplify security across cloud environments.
Scheduled for a December release, Trend Vision One’s AI Security Package introduces a centralized exposure management system specifically designed for AI-driven environments. This comprehensive solution safeguards the entire AI application stack, from initial model development through to runtime operations, ensuring robust protection across every phase of AI implementation. Additional AI security capabilities will be launched concurrently to further strengthen organizational defenses.
Rachel Jin, Chief Platform and Business Officer at Trend Micro, emphasized the critical need for this approach. “Businesses simply cannot take the risk of innovating without proper oversight,” she stated. “Our objective is to lay the groundwork for AI safety, establishing the necessary guardrails to ensure that AI-driven transformation progresses hand-in-hand with security and trust. When organizations build upon these foundational principles from the outset, they can confidently integrate AI as a core component of their growth strategy.”
Many companies are rapidly constructing AI systems, yet a significant number operate with limited insight into how these systems handle data, arrive at decisions, or could be manipulated by malicious actors. Conventional security tools, designed for endpoints, networks, and cloud infrastructure, lack the capability to comprehend model behaviors or address AI-specific threats such as prompt injection, data poisoning, and output manipulation. This creates dangerous gaps in security, exposing organizations to errors and vulnerabilities that traditional defenses were never engineered to handle.
Trend Vision One fundamentally alters this dynamic by providing a holistic method to identify risks within AI models and automatically shield them using intelligent AI guardrails. Its AI Application Security component features a continuous monitoring AI Scanner that uncovers vulnerabilities and actively applies protective measures, establishing a seamless, proactive, and closed-loop framework for managing AI-related risks.
Even as awareness of AI threats grows, a startling number of organizations deploy systems without performing adequate security assessments. Recent data from the World Economic Forum indicates that a mere 37% of companies conduct AI security evaluations prior to rollout. This is particularly alarming considering the average cost of a data breach has now exceeded $4.4 million.
Trend Micro has expanded its platform with a set of tools designed to reduce risk and strengthen protection across cloud-native environments. The goal is to bring security closer to the development cycle while giving teams a clearer view of their infrastructure.
AI Security Blueprint and Risk Insights
This module builds an auditable structure for managing AI systems and maps out an organization’s overall risk posture. It highlights exposures, supports compliance efforts, and safeguards proprietary models throughout development and deployment.
Cloud Risk Management (CRM) – Project View
Designed to break down silos, Project View gives development and security teams shared, real-time visibility. It delivers continuous monitoring, rapid threat notifications, and end-to-end oversight of risks across the supply chain. Its agentless scanning works across AWS, Azure, and Google Cloud, providing always-updated asset visibility without affecting performance.
Container & Code Security
Security checks move earlier in the pipeline, reducing manual work through automation and ensuring consistent policy enforcement. Runtime protection is strengthened with new File Integrity Monitoring for sensitive system files, with support for Kubernetes and eBPF.
File Security with NetApp Storage Support (FSx)
This feature adds active malware and ransomware protection for cloud-based storage. Files never leave the customer’s environment; only metadata is shared for analysis. Its Kubernetes-driven architecture scales automatically and surfaces all activity through the Trend Vision One console.
Agentic SIEM with AWS Native Logs Integration
Built for cloud detection and response, this solution blends real-time visibility, IOC sweeps backed by threat intelligence, and automated playbooks. It can absorb new cloud application logs within hours and correlate them with global threat data.
Zero Trust Secure Access – AI Secure Access
This capability applies zero trust rules to generative AI tools. It enables precise control over how staff use AI and helps prevent leaks of sensitive information, a growing issue as shadow IT expands.
Omdia analyst Dave Gruber underscored the urgency of these developments, noting that businesses racing to adopt AI often face considerable risks tied to security and governance. He emphasized that effective protection requires broad visibility and governance that covers model creation, deployment, and ongoing use.
(Source: HelpNet Security)
