Tumeryk AI Trust Score

Secure generative AI against data leaks and jailbreak attacks

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Tumeryk AI Trust Score

Target Audience

  • Enterprise Security Teams
  • AI Compliance Officers
  • Generative AI Developers

Hashtags

#EnterpriseAI#AISecurity#ComplianceTech#LLMProtection#AITrustScore

Overview

Tumeryk's AI Trust Score™ quantifies how trustworthy your AI responses are on a 0-1000 scale, helping enterprises safely adopt generative AI. It provides enterprise-grade security against AI-specific risks like data poisoning and unauthorized access while supporting major cloud platforms and LLM providers.

Key Features

1

Trust Scoring

0-1000 score evaluating response reliability and safety

2

Role-Based Protection

Granular access controls for AI applications

3

Pre-Built Policies

Ready-made safeguards for common compliance needs

4

Cloud Agnostic

Works across all major cloud providers and on-prem

5

RAG Security

Secures retrieval-augmented generation architectures

Use Cases

🛡️

Block AI jailbreak attempts

📜

Enforce content moderation policies

🔒

Secure RAG implementations

📊

Manage AI governance compliance

🚨

Detect data poisoning attacks

Pros & Cons

Pros

  • Addresses OWASP Top 10 LLM vulnerabilities
  • Flexible deployment (SaaS or self-hosted)
  • Real-time monitoring dashboard
  • Multi-cloud/multi-LLM support

Cons

  • Primarily targets enterprise users
  • Requires technical integration effort

Frequently Asked Questions

Can Tumeryk integrate with private LLMs?

Yes, supports both public and private LLMs including Gemini, Llama, and Anthropic models

How does Tumeryk prevent data leaks?

Uses RBAC, MFA, and AI Firewall mechanisms to filter outputs

Is self-hosted deployment available?

Yes, offers both SaaS and containerized self-hosted options

Integrations

Datadog
Splunk
SIEM systems
Google Vertex AI
Amazon Bedrock
Azure OpenAI

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