Tumeryk
Enhance Generative AI Trust and Security
Description
Tumeryk offers advanced security solutions designed specifically for Generative AI systems. The platform helps organizations build trust in their AI applications by providing real-time monitoring, comprehensive risk management, and robust compliance features. It focuses on addressing critical vulnerabilities inherent in large language models (LLMs) and AI workflows, enabling businesses to deploy Gen AI confidently while adhering to emerging regulatory standards like the EU AI Act and NIST AI RMF.
Through tools like the AI Trust Score™ and AI Guard, Tumeryk quantifies AI trustworthiness and provides active protection against threats such as jailbreaks, data leakage, prompt injection, and supply chain attacks. The system supports various LLMs and deployment environments (cloud and on-premises) and offers features like content moderation, hallucination grading, secure RAG architecture enablement, and customizable security policies. This allows security professionals and business leaders to effectively detect, protect, and respond to Gen AI risks, ensuring secure and reliable AI operations.
Key Features
- AI Trust Score™: Quantifies response trustworthiness from 0-1000.
- AI Trust Manager: Deploys regulatory frameworks (EU AI Act, ISO 42001, NIST 600.1) for compliance and remediation.
- LLM Scanner: Evaluates security risks and vulnerabilities based on OWASP LLM Top 10 and NIST AI RMF.
- Cloud Agnostic Deployment: Functions across major cloud platforms and on-premises environments.
- Broad LLM & Framework Support: Compatible with Azure, OpenAI, Bedrock, Anthropic, Hugging Face, Vertex AI, LangChain.
- Role-Based Protection & Access Control: Defines policies and manages access using RBAC, MFA, and SSO integration.
- RAG Architecture Agnostic: Integrates seamlessly with various RAG implementations.
- Policy Management: Offers a pre-built policy catalog and supports custom policy creation.
- Risk Mitigation: Protects against jailbreaks, data leakage, data poisoning, and harmful content.
- Real-time Monitoring & Anomaly Detection: Provides continuous tracking of model performance and security metrics.
Use Cases
- Ensuring Customer Trust in Gen AI Applications
- Achieving Compliance with AI Regulations (e.g., EU AI Act, ISO 42001)
- Securing Enterprise Gen AI Deployments
- Mitigating LLM Security Risks (Jailbreaks, Data Leakage, Poisoning)
- Monitoring AI Model Performance and Security in Real-time
- Implementing AI Governance Frameworks
- Securing RAG Architectures and Agent Frameworks
Frequently Asked Questions
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.
