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Prediction Guard

Prediction Guard

Develops AI workflows with a focus on data privacy.

Prediction Guard

About

Prediction Guard is a secure and scalable AI platform designed to enhance data privacy and mitigate risks during AI adoption. It enables users to develop AI workflows while ensuring system-level security, from model server configurations to LLM outputs. The platform can run popular AI model families privately within a user's infrastructure, featuring robust security checks to shield against vulnerabilities. It integrates seamlessly with leading AI tools while enforcing privacy filters to prevent issues like hallucinations or data leaks. Users can choose deployment options such as a managed cloud, self-hosting, or single-tenant setups, each offering unique benefits tailored to enterprise needs.

Competitive Advantage

Emphasizes data security and privacy while providing flexible deployment options and robust integration capabilities.

Use Cases

Secure AI deployments
Data privacy enforcement
AI integration
Enterprise AI workflow
Output validation

Pros

  • High data security focus
  • Flexible deployment options
  • Integration with popular AI tools
  • Prevention of AI malfunctions

Cons

  • Requires technical expertise
  • Potential high cost for enterprise
  • Limited to specific AI models
  • Complexity in setup

Tags

AI securityData privacyPrivate AISelf-hosted modelsAI workflows

Pricing

Free

Features and Benefits

Private Model Deployment

Allows users to run AI models privately within their infrastructure, enhancing data security.

5/5 uniqueness

Robust Security Measures

Guards against vulnerabilities like prompt injections and data leaks, ensuring safe AI operations.

5/5 uniqueness

Comprehensive Integrations

Seamlessly integrates with popular AI tools while maintaining data privacy.

4/5 uniqueness

Flexible Deployment Options

Offers managed cloud, self-hosted, and single-tenant setups for different enterprise needs.

4/5 uniqueness

Output Validation

Includes mechanisms to validate AI outputs to prevent incorrect or toxic information dissemination.

4/5 uniqueness

Integrations

LangChain
LlamaIndex
Code assistants

Target Audience

Enterprise IT Managers and AI Developers

Frequently Asked Questions

Managed cloud, self-hosted, and single-tenant.

Yes, it is HIPAA compliant.

Protection against prompt injections and model supply chain vulnerabilities.

LangChain, LlamaIndex, and various code assistants.

Yes, it uses privacy filters and output validation to prevent toxic outputs.