What makes Trinity Different? Real-Time Threat Detection Built for AI

AI workloads move fast, bad actors and attackers do too. Legacy tools create delays and blind spots, meaning breaches are often already in progress. Trinity leverages native GPU acceleration to catch and stop threats instantly, before data, models, or operations are compromised.

Faster Detection

Process millions of events per second catch threats legacy tools miss. Ai trains for new threats mitigating future risks!

Native Integration

Works with NVIDIA and Microsoft infrastructure natively, designed to be a plug-n-play security suite that scales.

Protect AI Investment

Stop attacks before they impact models, data, or expensive GPU uptime.

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Why Care? Legacy Security Creates Blind Spots in AI Infrastructure

When threats move at GPU speed, delayed detection means active breaches, operational downtime, and lost trust.
Trinity delivers real-time, GPU-accelerated threat detection built for AI infrastructure — closing the blind spots legacy tools leave behind.
If your AI infrastructure is protected by yesterday’s tools, you’re already exposed.
AI security failures are immediate and costly: exposed data, corrupted models, regulatory scrutiny, and lost revenue.

"AI security failures are visible, expensive, and irreversible."

Technology Foundation

Built on proven enterprise frameworks with strategic technology partnerships

NVIDIA Morpheus Integration

Leveraging NVIDIA's open-source Morpheus 25.10 framework for GPU-accelerated cybersecurity workloads. Morpheus provides the foundation for real-time data processing and AI inference on NVIDIA GPUs.

GPU Acceleration - CUDA-optimized data processing
Triton Inference - Multi-framework model serving
Real-Time Streaming - Kafka integration for event processing

Microsoft Azure Sentinel

Integration with Microsoft's cloud-native SIEM platform providing 170 enterprise detection rules covering 78 MITRE ATT&CK techniques. Sentinel offers established threat intelligence and correlation capabilities.

MITRE Framework - 13 tactics with comprehensive coverage
Multi-Platform - 28 data source integrations
KQL Queries - Advanced threat hunting patterns

Ensemble AI Architecture

Multi-model approach combining traditional machine learning with deep learning for comprehensive threat analysis. System uses gradient boosting, random forest, neural networks, and behavioral classifiers.

Multiple Models - Ensemble voting for accuracy
Behavioral Analysis - Process and network monitoring
Adaptive Learning - Continuous model improvement

Platform Development

Multi-layer security architecture designed for enterprise deployment

Detection Layer

Signature-Based Detection

Heuristic Analysis

Behavioral Monitoring

AI Threat Classification

Processing Layer

GPU Acceleration (CUDA)

Triton Inference Server

Apache Kafka Streaming

Vector Databases (Faiss/Milvus)

Security Features

Digital Fingerprinting (DFP)

Data Loss Prevention (DLP)

Zero Trust Architecture

LLM-Enhanced Analysis

Deployment Layer

Container Architecture

Kubernetes Orchestration

MLflow Model Management

Monitoring & Observability

Market Opportunity

Addressing critical security needs in AI-driven enterprise environments

AI Infrastructure Security Gap

Organizations investing heavily in NVIDIA GPU infrastructure for AI workloads require specialized security solutions. Traditional cybersecurity tools are not optimized for GPU-accelerated environments and AI-specific threat vectors.

Growing Threat Landscape

The cybersecurity market continues expanding as threat sophistication increases. AI-powered attacks require AI-powered defenses. GPU acceleration enables real-time processing of massive security event volumes.

Strategic Technology Partnerships

Trinity's integration with NVIDIA Morpheus and Microsoft Azure Sentinel positions the platform within established enterprise ecosystems. These partnerships provide credibility and technical foundation for market entry.

Enterprise Compliance Requirements

Regulatory frameworks (GDPR, HIPAA, PCI-DSS, SOX) demand sophisticated data protection. Trinity's DLP capabilities and MITRE ATT&CK framework mapping address enterprise compliance needs.

Cloud-Native Architecture

Modern enterprises require security solutions that scale with cloud infrastructure. Trinity's deployment and multi-region capabilities align with enterprise cloud strategies.

Technical Differentiation

GPU acceleration provides demonstrable performance advantages in security workloads. Ensemble AI models and behavioral analysis offer detection capabilities beyond traditional signature-based approaches.

Investment Opportunity

Trinity AI Security Platform is a pre-seed stage company developing next-generation cybersecurity technology. We are seeking strategic investors who understand the convergence of AI infrastructure and enterprise security requirements.

                        Current Status
                         Active platform development
 Core technology integration complete
 NVIDIA Morpheus and Azure Sentinel partnerships
 Pre-revenue, seeking initial funding

                    

                        Investment Focus
                         Platform development completion
 Enterprise pilot programs
 Team expansion (engineering & sales)
 Market validation and early customer acquisition

                    

Get in Touch

Connect with Trinity AI Security Platform leadership

Founder & CEO

Neil Singh

Technology strategy and product development

Board Member & CFO

Bryan Johnson

Investor relations and financial operations