Overview
Trinity is an enterprise platform designed to ensure trust, safety, and performance for generative AI applications across the entire AI lifecycle, from development to production monitoring.
As organizations adopt large language models (LLMs), they face critical challenges including prompt injection, hallucinations, safety risks, inconsistent responses, and lack of visibility into AI behavior. Trinity addresses these challenges by providing a comprehensive system to test, protect, and analyze AI systems at every stage of deployment.
Trinity enables organizations to systematically evaluate and secure their AI applications by identifying vulnerabilities through red teaming, enforcing real-time guardrails to detect prompt injection and harmful or policy-violating outputs, and providing observability into prompts, responses, and model behavior across applications. The platform also enables teams to analyze large volumes of AI interactions to measure safety and quality metrics such as precision, recall, toxicity, and policy compliance, helping organizations continuously improve the reliability and governance of their generative AI systems. Built for modern AI architectures, Trinity supports RAG pipelines, chatbots, copilots, and multi-agent systems, enabling organizations to build, deploy, and operate generative AI applications safely and reliably.
Highlights
- LLM Red Teaming with OWASP & MITRE-Based Analysis : Stress-test generative AI applications using attack scenarios aligned with OWASP Top 10 for LLMs and MITRE ATLAS to uncover prompt injection vulnerabilities, unsafe outputs, and model weaknesses during development.
- GenAI Guardrails for Real-Time LLM Security : Protect AI applications in production with real-time guardrails that monitor prompts and responses to detect prompt injection, harmful content, policy violations, and security risks.
- AI Observability with Regulatory Compliance Monitoring : Analyze prompts and responses at scale to identify safety risks, performance issues, and compliance violations aligned with GDPR, EU AI Act, NIST AI Risk Management Framework, and enterprise governance policies.
Details
Introducing multi-product solutions
You can now purchase comprehensive solutions tailored to use cases and industries.
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Free Version
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Delivery details
64-bit (x86) Amazon Machine Image (AMI)
Amazon Machine Image (AMI)
An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.
Version release notes
Version 1.0.2: Optimized AMI + Inspector Verification
Additional details
Usage instructions
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Launch the instance with Auto-assign public IP enabled.
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The application self-configures on first boot, do not stop, reboot, or attach an Elastic IP during the first 30 minutes. After 30 minutes, access the application at https://<public-ip>
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To use a static IP, attach an Elastic IP after the initial setup completes, then restart the instance. The application will automatically reconfigure within 20 minutes.
Support
Vendor support
Support Link: https://trinityops.ai/contact Email: support@trinityops.ai
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.