Can your customers trust your Gen AI?

The AI Trust Score™ provides real-time scoring of models & apps to assure your customers that your AI is trustworthy. The AI Trust Manager provides a remediation engine to improve trust scores by deploying regulatory frameworks that adhere to emerging requirements like EU AI Act, ISO 42001 and NIST 600.1.

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AI Trust Score™

The AI Trust Score™ quantifies response trustworthiness from the Cognitive layer (including LLM), scored 0-1000, higher indicating more trust.

Cloud Agnostic

The Tumeryk SDK is cloud-agnostic, functioning seamlessly across all major cloud platforms as well as in on-premises environments.

LLM and Framework Support

Supports leading LLMs and frameworks, including Azure, OpenAI, Amazon Bedrock, Anthropic, Hugging Face, Google Vertex AI, and LangChain.

Role-based Protection

Every application is assigned a specific role with defined policies, which may restrict access to certain content and topics.

RAG Architecture Agnostic

Agnostic to RAG architecture specifics, the SDK enables seamless, out-of-the-box deployments compatible with various RAG implementations.

Pre-built Policy Catalog

The SDK includes a set of pre-built policies, providing safeguards for various common use cases to ensure robust protection.

Custom Policy Support

Supports custom policy creation via a powerful policy language, allowing policies to be tailored to meet specific compliance requirements.

Language Support

Offers both Python SDK and REST API options, enabling seamless integration and flexibility across platforms to meet diverse development needs.

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How tumeryk provides active protection from gen AI risks

Tumeryk

Tumeryk Large Language Model(LLM) Scanner evaluates security risks and generates a report to allow security professionals a complete evaluation of the Gen AI model risk profile allowing them to build the necessary guardrails to Detect, Protect and Respond to threats.

Tumeryk Blocks jailbreak attempts.
Tumeryk Enables content moderation.
Tumeryk Grades hallucinations with Align Score.
Tumeryk Enables secure RAG architecture.
Tumeryk Secures agent frameworks.

Tumeryk Addresses OWASP Top LLM Top Ten In Production Environments.

Gen AI Leaders Trust Tumeryk

Business leaders agree Gen AI needs conversational security tools.

"Generative AI in natural language processing brings significant risks, such as jailbreaks. Unauthorized users can manipulate AI outputs, compromising data integrity. Tumeryk’s LLM Scanner and AI Firewall offer robust security, with potential integration with Datadog for enhanced monitoring"

Jasen Meece

President, Clutch solutions

"Data leakage is a major issue in natural language generative AI. Sensitive information exposure leads to severe breaches. Tumeryk’s AI Firewall and LLM Scanner detect and mitigate leaks, with the possibility of integrating with security posture management (SPM) systems for added security."

Naveen Jain

CEO, Transorg Analytics

“Generative AI models for natural language tasks face jailbreak risks, compromising reliability. Tumeryk’s AI Firewall and LLM Scanner provide necessary protection and can integrate with Splunk for comprehensive log management."

Puneet Thapliyal

CISO, Skalegen.ai

"Adopting Generative AI in the enterprise offers tremendous opportunities but also brings risks. Manipulative prompting and exploitation of model vulnerabilities can lead to proprietary data leaks. Tumeryk’s LLM Scanner and AI Firewall are designed to block jailbreaks to keep proprietary data secure"

Ted Selig

Director & COO, FishEye Software, Inc.

"Data leakage is a top concern for natural language generative AI. Tumeryk’s AI Firewall and LLM Scanner maintain stringent security standards and could integrate with SIEM and SPM systems for optimal defense."

Senior IT Manager, Global Bank

Frequently Asked questions

Explore the answers you seek in our "Frequently Asked Questions" section, your go-to resource for quick insights into the world of Tumeryk AI Guard.

From understanding our AI applications to learning about our services, we've condensed the information you need to kickstart your exploration of this transformation technology.

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.

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.

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.

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.

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.

Tumeryk deploys state-of-the-art, context-aware content moderation models that identify and block toxic, violent, or harmful content in real-time, ensuring safe AI interactions.

Tumeryk supports AI governance with capabilities like centralized policy management, detailed audit logging, stakeholder management dashboards, and continuous improvement metrics. It ensures compliance with various regulatory frameworks.

Yes, Tumeryk offers flexible deployment options, including self-hosted (containerized) and SaaS models. It can support multi-region, active-active deployments and is designed to scale with GenAI utilization.

Tumeryk implements strong RBAC with fine-grained access controls, Multi-Factor Authentication (MFA), and integration with SSO platforms like OKTA. It ensures that user access and permissions are managed securely across different environments.