Reduction in the number of services or products needed to achieve alignment with AI governance best practices from OWASP or NIST.
Based on the number of distinct services required in Azure to align with NIST 600-1 guidance, compared to Prediction Guard's single, comprehensive solution.
Acceleration in AI agent deployments to production.
The 300% feature delivery acceleration is evidenced by organizations transitioning from fragmented API management to unified AI gateway patterns, reducing delivery delays from 2–6 months to immediate availability — eliminating up to 85% of API definition overhead and shortening release cycles from weeks to days.
Manage
Control is the prerequisite for AI Security. Governance is symbolic unless the enterprise owns, tracks, and manages the connective tissue of the AI systems it adopts.
- Compose sovereign AI systems that contain models, MCP servers, and connections to applications.
- Utilize Prediction Guard's self-hosted control plane, bringing operational control within your security boundary.
- Move from consuming AI components (controlled by external vendors) to operating AI systems.
Govern
System-level security requires embedding policy directly into the operational fabric of your AI systems rather than relying on point solutions or external, "firewall" filters.
- Proactively analyze AI assets for vulnerabilities and obtain detailed AI BOMs for each of your AI systems.
- Audit and roll back AI system changes or updates.
- Integrate AI security events with your existing monitoring, alerting, or logging infrastructure.
- Apply AI governance policies globally or per AI system, API key, or agent.
- Align with NIST and OWASP standards out-of-the-box.
Deploy
Don't lose control of your AI governance by enforcing it outside of your security boundary. Deploy the Prediction Guard control plane services in your infrastructure.
- Ship the control plane, governance configuration, and system settings to any cloud or on-premises environment.
- Governance and systems composition (models, tools) can be tailored per end customers, per region, per department, etc.
- Infrastructure agnostic with support for air-gapped environments.
Build
Balance time-to-value with long term flexibility via no-code and code forward integration. Quickly create agents without code while letting your developers build custom integrations via an easy-to-use, centralized API.
- Each of your sovereign AI systems has an OpenAI (/chat/completions & /responses) and Anthropic (/messages) compatible API for seamless code-forward development.
- Prediction Guard's Agent Forge no-code agent builder provides an ROI surface for quick agent development.
- Integrate with vendor software like Netsuite, Workday, or Salesforce via the compatible API & MCP tool support.
Main Features
Generating key features for safely operating AI systems.
Integrated management of AI systems
Centrally manage AI models, tools, MCP servers, and application connections on a control plane that supports sovereign AI. Eliminates fragmented AI usage, applies policy enforcement, access control, and audits to the entire system, while reducing the operational load of API definitions, model settings, and MCP registrations by up to 85%.
AI Governance and Security
Instead of relying on external filters, it incorporates policies into the operation of the AI system, and implements security and governance. Continuous management and visibility of the entire system through AI BOM, change history audits, and vulnerability analysis.
Rapid deployment of AI agents
Rapidly deploy a secure AI agent that inherits the governance, significantly reducing lead time from development to operation. Through no-code development with Agent Forge and the OpenAI-compatible API, you can leverage the integrated AI environment (model tool data) as it is to increase the speed of AI feature development by up to 70%.