Evidence tier Source Confirmed · 4 captures on record
What the publisher says
As described on AWS Marketplace.
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.
Show the rest of the publisher’s description (2 more lines)
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
Highlighted by the publisher on AWS Marketplace.
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.
Agent build and provenance
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Plans and pricing as listed
1 listed- Hrs
Refund terms
As stated by the publisher on AWS Marketplace.
Free Version
Sources
Linked repositories
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