New AI Detector Identifies AI-Generated Multimedia Content
Amazon Web Services (AWS) and DeepBrain AI have launched AI Detector, an enterprise-grade solution designed to identify and manage AI-generated content across multiple media types. The collaboration targets organizations in government, finance, media, law, and education sectors that need to validate content authenticity at scale.
In its AWS Marketplace listing, AI Detector is categorized as a private offer, part of a purchasing program that enables sellers and buyers to negotiate custom prices and end user licensing agreement (EULA) terms that aren't publicly available. This means the product isn't listed with standard public pricing that anyone can see and purchase immediately. Instead, sellers and buyers negotiate before committing to a private offer that's different from the public offer.
[Click on image for larger view.]AI Detector Offer (source: AWS).
Architecture Built on AWS Infrastructure
AI Detector operates as a Software-as-a-Service (SaaS) solution leveraging multiple AWS services for enterprise performance and scalability. The architecture centers on Amazon Elastic Kubernetes Service (Amazon EKS) for orchestration, paired with Amazon Elastic Compute Cloud (Amazon EC2) GPU instances from the G5 family. DeepBrain AI recommends g5.8xlarge instances, with g5.2xlarge as the minimum configuration.
[Click on image for larger view.]AI Detector Architecture (source: AWS).
The solution also incorporates Amazon Rekognition for visual content analysis, enabling "content authenticity verification and inappropriate content detection," according to the announcement. An external MongoDB Atlas database provides additional data management capabilities.
The system integrates with several additional AWS services:
- Amazon Simple Storage Service (Amazon S3) for data storage
- Amazon Elastic File System (Amazon EFS) for scalable file storage
- Amazon MemoryDB for in-memory database operations
- Elastic Load Balancing for traffic distribution
- Amazon Route 53 for DNS services
- AWS WAF for application firewall protection
- Amazon Elastic Container Registry (Amazon ECR) for container management
- AWS Lambda for serverless computing functions
Real-World Deployment Shows Promise
The Korean National Police Agency serves as a key customer case study, implementing AI Detector to address rising digital crimes involving manipulated videos and synthetic content. The deployment achieved "over 80% accuracy between real and synthetic media during investigations" while reducing manual verification workloads, according to the AWS Partner Network blog post.
The agency uses the tool to screen "manipulated videos featuring celebrities and inappropriate synthetic content reported by the public," with improved early-stage content validation enabling faster response times during investigations.
Compliance And Security Features
AI Detector meets multiple enterprise compliance standards, including ISO 27001, SOC 2, GDPR, and ISO 42001. The solution emphasizes four core benefits: accuracy through "cutting-edge detection algorithms," real-time processing speed, simplified deployment via AWS Marketplace, and comprehensive compliance coverage.
Deployment Options and Market Availability
Organizations can deploy AI Detector through pre-configured Amazon Machine Images (AMIs) and deployment guides available on AWS Marketplace. As noted, the solution is currently available as a private offer through the marketplace.
DeepBrain AI reports 200% market traction growth since launching on AWS, with customer interest accelerating month-over-month. The company plans to expand the offering with an API-based solution to enable broader integrations across various industries.
Future Roadmap Targets Voice Detection
Looking ahead, DeepBrain AI is developing real-time voice phishing detection capabilities, where "the system can analyze voice calls using synthetic voices to determine authenticity — helping protect individuals from fraud and impersonation scams." This expansion addresses the growing concern over synthetic voice technology being used in fraudulent schemes.
The collaboration enters a competitive landscape where multiple AI detection tools are competing for accuracy and market share, with existing solutions like Originality.ai, Winston AI, and GPTZero already established in the market. However, AI Detector's focus on enterprise deployment through AWS infrastructure and multi-media content analysis might serve to distinguish it from primarily text-focused detection tools.
The partnership reflects AWS's broader strategy of working with specialized AI companies to deliver industry-specific solutions through its cloud platform. For IT professionals and developers, the solution is being offered as a managed approach to AI content detection without requiring in-house development of detection algorithms.
For more information about the solution architecture and deployment options, go to the AWS Partner Network blog post and DeepBrain AI's web site.
About the Author
David Ramel is an editor and writer at Converge 360.