Tumeryk Ensure Trustworthy AI Deployments with Real-Time Scoring and Compliance

What is Tumeryk?

Tumeryk offers comprehensive solutions designed to enhance the security and trustworthiness of Generative AI (Gen AI) systems. Central to its offerings is the AI Trust Score™, a system that quantifies the trustworthiness of AI model responses on a scale of 0-1000 in real-time. This scoring mechanism helps organizations assure stakeholders that their AI applications operate reliably and ethically. Complementing the scoring system is the AI Trust Manager, which functions as a remediation engine. It assists organizations in improving their AI Trust Scores by facilitating the deployment of regulatory frameworks, ensuring adherence to emerging requirements such as the EU AI Act, ISO 42001, and NIST AI RMF.

The platform provides active protection against various Gen AI risks. It includes capabilities to block jailbreak attempts, moderate content effectively, grade potential hallucinations using an Align Score, and secure Retrieval-Augmented Generation (RAG) architectures and agent frameworks. Tumeryk addresses vulnerabilities outlined in the OWASP Top 10 for LLMs within production environments. Its technology is cloud-agnostic, compatible with major cloud providers and on-premises setups, and supports a wide range of Large Language Models (LLMs) and frameworks, including those from Azure, OpenAI, Amazon Bedrock, Anthropic, Hugging Face, Google Vertex AI, and LangChain. Integration is facilitated through both Python SDK and REST API options.

Features

AI Trust Score™: Quantifies response trustworthiness from the Cognitive layer (including LLM), scored 0-1000.
AI Trust Manager: Remediation engine to improve trust scores and deploy regulatory frameworks.
Cloud Agnostic: Functions seamlessly across major cloud platforms and on-premises environments.
Broad LLM and Framework Support: Compatible with Azure, OpenAI, Amazon Bedrock, Anthropic, Hugging Face, Google Vertex AI, LangChain.
Role-based Protection: Assigns specific roles and policies to restrict access.
RAG Architecture Agnostic: Enables deployment with various RAG implementations.
Pre-built Policy Catalog: Provides safeguards for common use cases.
Custom Policy Support: Allows creation of tailored policies via a policy language.
LLM Scanner: Evaluates security risks and generates reports.
Active Protection: Blocks jailbreaks, enables content moderation, grades hallucinations, secures RAG, secures agents, addresses OWASP LLM Top Ten.

Use Cases

Assessing and ensuring AI trustworthiness for applications.
Improving AI trust scores through guided remediation.
Complying with AI regulations like the EU AI Act and ISO 42001.
Securing enterprise Generative AI models and applications.
Preventing LLM jailbreak attempts and prompt injection.
Implementing real-time content moderation for AI outputs.
Securing Retrieval-Augmented Generation (RAG) pipelines.
Evaluating and mitigating Gen AI model security risks.
Protecting sensitive data from leakage in AI interactions.
Monitoring AI systems for performance and security anomalies.
Governing AI deployments through centralized policies and audit logs.

FAQs

Can Tumeryk connect to different LLMs provided by various vendors?

Yes, Tumeryk can connect to any public or private LLM and supports integration with multiple VectorDBs. It is compatible with LLMs from vendors such as Gemini, Palm, Llama, and Anthropic.
How does Tumeryk detect and protect against data poisoning attacks?

Tumeryk uses advanced techniques like Statistical Outlier Detection, Consistency Checks, and Entity Verification to detect and alarm against data poisoning attacks, ensuring the integrity and security of the training data.
What measures does Tumeryk take to prevent data leakage and unauthorized access?

Tumeryk prevents unauthorized access and data leakage using Role-Based Access Control (RBAC), Multi-Factor Authentication (MFA), LLM output filtering, and AI Firewall mechanisms. These measures protect sensitive data from exposure.
How does Tumeryk ensure the security of AI models from LLM supply chain attacks?

Tumeryk scans for known and unknown LLM vulnerabilities based on the OWASP LLM top 10 and NIST AI RMF guidelines, identifying and mitigating risks associated with LLM supply chain attacks.
What capabilities does Tumeryk offer for real-time monitoring and anomaly detection?

Tumeryk provides real-time monitoring with a single pane of glass view across multiple clouds, enabling continuous tracking of model performance and security metrics. It also includes heuristic systems to detect and flag unusual or unexpected model behavior.