Trend Micro has launched a new AI Detection Model that leverages the NVIDIA Morpheus AI framework, deployed on AWS cloud infrastructure for improved threat detection.

The choice of AWS was driven by its global reach and robust security features, while NVIDIA's advanced AI frameworks facilitate rapid threat identification.

Trend Micro's anomaly detection capabilities utilize AI models to recognize new patterns in telemetry and logs, allowing for customized detection models that enhance security response times.

Robert Miller, VP of Corporate Security at Sierra-Cedar, commended the efficiency of accessing Trend's platform through AWS Marketplace, which accelerates threat identification.

He also noted that Trend Micro's platform effectively interprets threat intelligence and simplifies procurement processes via AWS Marketplace.

Chris Grusz from AWS highlighted that the integration with Trend Micro enables scalable, low-latency threat detection, allowing for real-time analysis of large data streams.

Grusz further emphasized the advantages of AWS's infrastructure in adapting detection models to meet evolving threats.

Kevin Simzer, COO of Trend Micro, stressed the importance of evolving security measures in tandem with AI advancements, which are supported by AWS's resilient infrastructure.

The solution is specifically designed to secure AI-driven workloads against emerging threats such as data theft and disruption while maintaining performance and flexibility.

Trend Vision One operates natively on AWS, taking advantage of its elastic and secure architecture to meet compliance and performance requirements.

Additionally, Trend Vision One incorporates AWS AI services like Amazon Bedrock to improve investigation workflows and enhance responses from security operations teams.

Key technologies in this initiative include NVIDIA Morpheus Digital Fingerprinting for proactive threat detection and NVIDIA RAPIDS for real-time data classification.