AI Compliance Tool

What is predictionguard.com?

Prediction Guard is a platform designed to enhance the security, scalability, and compliance of AI applications, particularly those utilizing large language models (LLMs). Key features of Prediction Guard include:

• Data Security: The platform protects sensitive data and addresses common AI malfunctions.
• Compliance: It ensures adherence to regulatory standards such as HIPAA and SOC 2 Type II.
• Output Control: It delivers structured and compliant outputs, mitigating problems like hallucinations and toxic responses.
• Flexible Deployment: Prediction Guard provides both managed cloud and self-hosted deployment options, facilitating cost-effective and scalable AI solutions.

How does predictionguard.com work?

Prediction Guard operates by incorporating multiple layers of security, compliance, and control into AI applications. Here's an overview of its functionality:

• Data Security: The platform encrypts data both in transit and at rest, ensuring protection against unauthorized access.
• Compliance: It adheres to various regulatory standards, including HIPAA for healthcare data and SOC 2 Type II for general data security, ensuring that AI applications meet industry requirements.
• Output Control: Advanced algorithms are used to monitor and filter AI outputs, helping to mitigate issues such as hallucinations (incorrect or nonsensical outputs) and toxic content (harmful or inappropriate responses).
• Flexible Deployment: Prediction Guard supports both managed cloud services and self-hosted options, allowing organizations to select the deployment method that best fits their needs for cost efficiency, scalability, or data control.
• Scalability: The platform is designed to support large-scale AI deployments, making it suitable for enterprises with extensive AI requirements.

How much does predictionguard.com cost?

Prediction Guard offers flexible and cost-effective pricing options with two main deployment methods:

• Managed Cloud: This option is fully hosted and managed by Prediction Guard. It is HIPAA compliant and does not incur per-token charges, making it a convenient and cost-effective choice for many users.

• Self-Hosted: This option is hosted within a customer's infrastructure and supports various compute options, including non-GPU accelerators like Intel® Gaudi® and data center CPUs like Intel® Xeon®. It is optimized for price-performance at an enterprise scale.

Costs can vary based on the volume of predictions and specific deployment requirements. For detailed pricing information, it is recommended to contact Prediction Guard directly through their website.

What are the benefits of predictionguard.com?

Prediction Guard offers several key benefits for organizations utilizing AI applications:

• Enhanced Security: It provides encryption and protection for sensitive data, minimizing the risk of data breaches.
• Regulatory Compliance: The platform supports adherence to industry standards and regulations, such as HIPAA and SOC 2 Type II, ensuring compliance for AI applications.
• Improved Output Quality: By monitoring and filtering AI outputs, Prediction Guard addresses issues like hallucinations and toxic content, resulting in more reliable and accurate results.
• Flexible Deployment Options: It offers both managed cloud services and self-hosted solutions, accommodating various organizational needs and budgets.
• Scalability: Designed to support large-scale AI deployments, it is suitable for enterprises with extensive AI requirements.
• Cost-Effectiveness: With no per-token charges and optimized compute options, Prediction Guard offers a cost-effective solution for AI application deployment.

These benefits collectively enhance the security, compliance, and efficiency of AI deployments, making Prediction Guard a robust choice for leveraging AI technology.

What industries can benefit from using predictionguard.com?

Prediction Guard provides valuable benefits across various industries by enhancing the security, compliance, and reliability of AI applications. Here are some key sectors that can benefit:

• Healthcare: Ensures compliance with HIPAA regulations, safeguarding patient data while enabling advanced AI-driven diagnostics and treatment recommendations.
• Finance: Enhances data security and compliance with financial regulations, improving fraud detection, risk management, and customer service through AI.
• Retail: Enhances personalized customer experiences and inventory management while ensuring data privacy and security.
• Legal: Supports document analysis and legal research, protecting sensitive information and ensuring reliable outputs.
• Education: Improves personalized learning experiences and administrative efficiency while safeguarding student data.
• Manufacturing: Optimizes production processes and predictive maintenance with secure and compliant AI solutions.
• Government: Facilitates secure and compliant AI applications for public services, data analysis, and decision-making processes.

These sectors, among others, can utilize Prediction Guard to deploy AI applications that are both effective and secure.

How does Prediction Guard ensure data security and privacy in AI applications?

Prediction Guard ensures data security and privacy by incorporating multiple mechanisms to protect sensitive information. The platform facilitates privacy filters to mask or replace Personally Identifiable Information (PII) in model inputs, effectively preventing data leaks. Moreover, security checks are in place to counteract new vulnerabilities, such as prompt injections. The platform ensures compliance with regulations like HIPAA, making it possible to establish a Business Associate Agreement (BAA). For customers opting for self-hosting, all data remains within their network, never leaving their infrastructure, providing an additional layer of security and privacy.

What are the deployment options available with Prediction Guard?

Prediction Guard offers two main deployment options designed to cater to different organizational needs. The Managed Cloud option is fully hosted and managed by Prediction Guard, providing a seamless start within one day and being HIPAA compliant without the need to manage Kubernetes clusters. For organizations preferring more control, the Self-Hosted option allows deployment within the customer's infrastructure. This flexible option supports various compute choices, including non-GPU accelerators and data center CPUs optimized for superior price-performance at an enterprise scale.

How does Prediction Guard address AI hallucinations and output control?

Prediction Guard tackles AI hallucinations and output control through output validations designed to prevent "wrongness" or toxic outputs. By implementing advanced filters and validation processes, the platform monitors AI-generated content, ensuring that results remain structured, accurate, and safe for use. These capabilities are crucial for maintaining the reliability and integrity of AI outputs, which helps in building trust and credibility in AI-driven applications across different industries.