Prediction Guard

Prediction Guard is a comprehensive platform designed to address the critical need for secure and private AI systems within enterprises. Founded in 2023, it empowers organizations to harness the power of generative AI without compromising data security or regulatory compliance. The core philosophy of Prediction Guard is to restore trust in AI by putting control back into the hands of the user. Instead of sending sensitive data to third-party services, Prediction Guard allows you to deploy best-in-class AI models like Llama 3.1, Mistral, and DeepSeek directly within your own infrastructure, be it on-premise, in a virtual private cloud (VPC), or even in a completely air-gapped environment. This ensures that your proprietary information never leaves your network, mitigating risks of data breaches and compliance violations.

How to use Prediction Guard

Getting started with Prediction Guard is a consultative process tailored to enterprise needs, ensuring the solution fits your specific security and operational requirements.

1. Book a Consultation: The initial step is to schedule a demo or call with the Prediction Guard team via their website. This allows them to understand your specific use case, technical infrastructure, and compliance needs (e.g., HIPAA).
2. Solution Design: The team will work with you to determine the best deployment model—Managed Cloud, Single-Tenant, or Self-Hosted. They will discuss model selection, integration timelines, and provide a customized pricing plan.
3. Deployment: For self-hosted options, Prediction Guard provides pre-optimized configurations to deploy the platform in your environment. For managed services, they provision a secure, isolated instance for you.
4. Integration: Once deployed, you can integrate Prediction Guard into your applications. Its API is spec-level compatible with OpenAI's API. This means developers can use existing codebases and popular frameworks like LangChain, LlamaIndex, and Vercel's AI SDK by simply changing the base URL to point to your Prediction Guard instance. No data is ever passed to OpenAI or any other third party.

Core Features of Prediction Guard

• Flexible Deployment Options: Choose from a fully managed cloud (HIPAA compliant), a dedicated single-tenant instance, or a self-hosted solution for maximum control (on-prem, air-gapped, hybrid, VPC).
• OpenAI-Compatible API: Ensures developer-friendly integration and allows the use of a vast ecosystem of existing AI tools and libraries without rewriting code.
• Versatile Model Support: Deploy and manage popular open-source models from families like Llama, Mistral, and DeepSeek. You can also upload and run your own custom or proprietary models.
• Built-in Security Monitoring: Continuously monitor model inputs and outputs for threats like prompt injections, PII leakage, toxicity, and factual inconsistencies, with alerts sent via OpenTelemetry.
• Full Auditability and Compliance: Track every change to your AI system, from API key provisioning to model updates. This provides a complete audit trail, helping you align with standards like NIST, OWASP, and HIPAA.
• Complete Data & IP Ownership: Since the entire AI stack runs in your infrastructure, all data and generated outputs remain your intellectual property, free from third-party terms of service.

Use Cases for Prediction Guard

Prediction Guard is ideal for organizations in security-sensitive and regulated industries:

• Healthcare: Analyze sensitive patient data, summarize clinical notes, or build diagnostic support tools while remaining fully HIPAA compliant, as no data leaves the hospital's secure network.
• Defense & Government: Deploy AI capabilities in secure, air-gapped environments for intelligence analysis, decision support, and operational planning without risk of data exfiltration.
• Finance & Insurance: Develop fraud detection models, automate claims processing, and provide AI-powered customer support while adhering to strict data privacy regulations like GDPR and CCPA.
• Manufacturing: Analyze proprietary schematics, optimize supply chains, and perform predictive maintenance using internal data without exposing trade secrets.

Advantages of Prediction Guard

The primary advantage of Prediction Guard is its unwavering focus on security and privacy. Unlike public AI APIs that require you to send data to external servers, Prediction Guard keeps your entire AI workflow contained. This eliminates the risk of data breaches from third parties, ensures you can meet stringent compliance requirements, and gives you full ownership of your AI-generated IP. The OpenAI-compatible API significantly lowers the barrier to adoption for development teams, allowing them to leverage powerful AI securely and quickly.

Pricing and Plans

Prediction Guard's pricing is not publicly listed and is tailored to the specific needs of each organization. Pricing is determined based on factors such as the chosen deployment model (Managed Cloud, Self-Hosted, Single-Tenant), the scale of usage, and the specific models required. To get a quote, interested parties must contact the Prediction Guard sales team to schedule a demo and discuss their requirements in detail.