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Prediction Guard

Seamlessly integrate private, controlled, and compliant LLM functionality.

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About Prediction Guard

Prediction Guard is at the forefront of secure AI deployment, offering organizations a robust platform to manage and operate Large Language Models (LLMs) within their own infrastructure. As of 2026, Prediction Guard has solidified its reputation as a leader in AI security, ensuring that data privacy and compliance are maintained without compromise. This platform is designed to meet the stringent demands of industries such as healthcare, defense, and manufacturing, where data sensitivity is paramount. Prediction Guard's model-agnostic approach allows for seamless integration of popular models like Llama 3.1 and Mistral, or custom proprietary models, providing flexibility and control to its users. The platform's comprehensive monitoring and auditing capabilities ensure that every interaction with AI systems is tracked and analyzed, offering unparalleled visibility and trust. With a focus on security, Prediction Guard aligns with NIST and OWASP best practices, making it an ideal choice for organizations looking to harness the power of AI while maintaining full control over their data. Its developer-friendly API is OpenAI compatible, allowing for easy integration with existing applications and tools, further enhancing its appeal to tech-savvy enterprises. As AI continues to evolve, Prediction Guard stands as a beacon of secure and compliant AI integration, helping organizations transform their operations with confidence and peace of mind.

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Prediction Guard Key Features

Secure Deployment

Prediction Guard allows organizations to deploy Large Language Models (LLMs) within their own infrastructure, ensuring that sensitive data never leaves the premises. This feature is crucial for maintaining data privacy and meeting compliance requirements, particularly in industries like healthcare and defense.

Comprehensive Monitoring

The platform offers granular monitoring of AI model inputs and outputs, tracking events by API key, model, time, and event type. This helps organizations detect and mitigate issues such as prompt injections, PII leaks, and factual inconsistencies, enhancing the security and reliability of AI deployments.

AI System Audits

Prediction Guard provides detailed auditing capabilities, allowing users to track changes in AI deployments over time. This feature supports compliance and accountability by enabling organizations to export and analyze historical data on API key provisioning and model updates.

Model Agnostic Platform

The platform supports a wide range of AI models, including popular families like Llama 3.1 and Neural Chat. Users can deploy models that best fit their specific environment and use case, or upload custom models, offering flexibility and adaptability to various industry needs.

OpenAI-Compatible API

Prediction Guard's API is designed to be compatible with OpenAI's specifications, allowing seamless integration with existing applications. This compatibility ensures that developers can leverage existing tools and frameworks, such as LangChain and Vercel's AI SDK, without data being passed to third-party systems.

Built-in Security Features

The platform is built with security in mind, adhering to NIST and OWASP best practices. It includes features like continuous security scanning and integration with centralized logging systems, providing robust protection against vulnerabilities and threats.

Self-Hosted Models

Organizations can host AI models on their own infrastructure, maintaining full control over data and model operations. This self-hosted approach eliminates the risk of data breaches associated with third-party hosting, ensuring that all AI-related intellectual property remains proprietary.

Scalability

Prediction Guard is designed to scale with organizational needs, supporting both small-scale deployments and large enterprise environments. This scalability ensures that the platform can grow alongside the organization's AI initiatives, providing consistent performance and reliability.

Prediction Guard Pricing Plans (2026)

Recommended

Enterprise

Custom pricing /yearly
  • Self-hosted AI models
  • Comprehensive security monitoring
  • OpenAI compatible API
  • Integration with SIEM systems
  • Model agnostic support
  • Requires significant internal resources
  • Higher initial costs compared to cloud-based solutions

Prediction Guard Pros

  • + Ensures data privacy by keeping AI systems within organizational infrastructure.
  • + Comprehensive monitoring and auditing capabilities enhance security and compliance.
  • + Model agnostic, supporting a wide range of AI models and custom deployments.
  • + Developer-friendly API compatible with OpenAI, facilitating easy integration.
  • + Aligns with NIST and OWASP best practices, ensuring robust security standards.
  • + Allows for self-hosted models, providing full control over data and AI systems.

Prediction Guard Cons

  • May require significant internal resources for initial setup and maintenance.
  • Limited to organizations with the technical capability to manage self-hosted systems.
  • Potentially higher costs compared to cloud-based AI solutions due to infrastructure requirements.
  • Requires ongoing monitoring and management to ensure optimal performance.
  • May not offer as many pre-built integrations as some competitors.

Prediction Guard Use Cases

Healthcare Data Management

Healthcare organizations use Prediction Guard to manage sensitive patient data securely while deploying AI models for diagnostics and treatment recommendations. This ensures compliance with regulations like HIPAA while improving patient outcomes through AI-driven insights.

Defense Sector Intelligence

In the defense sector, Prediction Guard is used to deploy AI models that analyze vast amounts of data for intelligence and operational planning. The platform's security features ensure that classified information remains protected, supporting national security objectives.

Manufacturing Process Optimization

Manufacturers utilize Prediction Guard to deploy AI models that optimize production processes and supply chain logistics. By keeping data in-house, companies protect proprietary information while enhancing efficiency and reducing operational costs.

Financial Services Compliance

Financial institutions leverage Prediction Guard to deploy AI models for fraud detection and risk management. The platform's auditing capabilities ensure compliance with financial regulations, while its security features protect sensitive financial data.

Higher Education Research

Universities and research institutions use Prediction Guard to deploy AI models for academic research, ensuring that sensitive research data remains confidential. This supports academic freedom and innovation while maintaining data integrity.

Retail Customer Insights

Retailers deploy AI models using Prediction Guard to analyze customer data and personalize shopping experiences. By keeping data secure and private, retailers build customer trust while gaining valuable insights into consumer behavior.

What Makes Prediction Guard Unique

Data Sovereignty

Prediction Guard allows organizations to keep all AI-related data within their own infrastructure, eliminating the need to share data with third-party systems and ensuring full data sovereignty.

Comprehensive Security

The platform is built with security as a core focus, offering features like continuous monitoring, security scanning, and integration with centralized logging systems to protect against vulnerabilities.

OpenAI API Compatibility

Prediction Guard's API is compatible with OpenAI's specifications, allowing seamless integration with existing applications and tools without compromising data privacy.

Industry-Specific Solutions

The platform is designed to meet the specific needs of industries like healthcare, defense, and manufacturing, offering tailored solutions that address unique compliance and data protection requirements.

Scalability and Flexibility

Prediction Guard is scalable and flexible, supporting both small-scale and large enterprise deployments, ensuring that it can grow alongside an organization's AI initiatives.

Who's Using Prediction Guard

Enterprise Teams

Enterprise teams use Prediction Guard to deploy and manage AI models across various departments, ensuring data privacy and compliance while enhancing operational efficiency and decision-making.

Healthcare Providers

Healthcare providers leverage Prediction Guard to securely deploy AI models for patient care and diagnostics, ensuring compliance with healthcare regulations and improving patient outcomes.

Government Agencies

Government agencies use Prediction Guard to deploy AI models for intelligence analysis and public sector applications, ensuring that sensitive data remains secure and compliant with national security standards.

Manufacturing Firms

Manufacturing firms deploy AI models using Prediction Guard to optimize production processes and supply chain logistics, protecting proprietary information while enhancing operational efficiency.

Educational Institutions

Educational institutions use Prediction Guard to deploy AI models for research and academic purposes, ensuring that sensitive research data remains confidential and secure.

How We Rate Prediction Guard

7.8
Overall Score
Prediction Guard offers a robust, secure platform for AI deployment with comprehensive features and flexibility.
Ease of Use
8
Value for Money
7
Performance
8
Support
7.5
Accuracy & Reliability
8
Privacy & Security
7.5
Features
8
Integrations
8
Customization
7.5

Prediction Guard vs Competitors

Prediction Guard vs Pixee

Pixee offers cloud-based AI solutions, which may be more cost-effective for smaller organizations. However, Prediction Guard provides superior data privacy with its self-hosted model approach.

Advantages
  • + Self-hosted models ensure complete data control
  • + Comprehensive security monitoring and auditing
  • + Model agnostic, supporting a wide range of AI models
Considerations
  • Higher initial setup and maintenance costs
  • Requires technical expertise for self-hosting

Prediction Guard Frequently Asked Questions (2026)

What is Prediction Guard?

Prediction Guard is a secure AI platform that allows organizations to deploy and manage private, controlled, and compliant Large Language Models (LLMs) within their own infrastructure.

How much does Prediction Guard cost in 2026?

Prediction Guard offers custom pricing based on organizational needs and infrastructure requirements. Contact sales for detailed pricing information.

Is Prediction Guard free?

Prediction Guard does not offer a free tier; it provides custom pricing to suit enterprise requirements.

Is Prediction Guard worth it in 2026?

For organizations prioritizing data privacy and compliance, Prediction Guard is a valuable investment, offering robust security features and flexibility.

Best Prediction Guard alternatives in 2026?

Alternatives include Pixee, Snyk (DeepCode), Sysdig, JFrog Xray, and Veracode, each offering different strengths in AI deployment and security.

Prediction Guard vs competitors in 2026?

Prediction Guard stands out for its self-hosted model capability and comprehensive security monitoring, while competitors may offer different strengths in integration or cost.

How to get started with Prediction Guard?

Contact Prediction Guard for a demo and consultation to assess your organization's needs and begin the deployment process.

What platforms does Prediction Guard support?

Prediction Guard supports a range of AI models and integrates with existing SIEM systems, offering flexibility in deployment.

Is Prediction Guard safe and secure?

Yes, Prediction Guard ensures data privacy and security with self-hosted models and comprehensive monitoring aligned with NIST and OWASP best practices.

Who should use Prediction Guard?

Organizations in healthcare, defense, manufacturing, higher education, and financial services seeking secure and compliant AI solutions.

What's new in Prediction Guard 2026?

In 2026, Prediction Guard continues to enhance its security features and expand model compatibility to meet evolving industry needs.

How does Prediction Guard compare to alternatives?

Prediction Guard offers unique advantages in data privacy and self-hosted models, while alternatives may excel in other areas like cost or integration.

Prediction Guard Search Interest

27
/ 100
↑ Rising

Search interest over past 12 months (Google Trends) • Updated 2/2/2026

Prediction Guard Company

Founded
2023
3.1+ years active

Prediction Guard Quick Info

Pricing
Paid
Upvotes
204
Added
January 3, 2026

Prediction Guard Is Best For

  • Healthcare organizations seeking secure AI solutions
  • Defense sector requiring secure intelligence analysis
  • Manufacturers optimizing production processes
  • Academic institutions conducting AI-driven research
  • Financial institutions ensuring compliance with regulations

Prediction Guard Integrations

OpenAI compatible APIIntegration with SIEM systemsCompatible with popular AI models like Llama 3.1 and Mistral

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