Prediction Guard gives regulated enterprises operational control of their AI agents. Our sovereign AI control plane runs inside your own infrastructure and enforces runtime controls on every agent action.
Most enterprises are already running agents on a fragmented stack of third-party APIs, managed services, and opaque security wrappers. The result is governance on paper: update cycles, failure modes, and security perimeters dictated by external vendors, and no way to stop an agent at the moment it acts.
Prediction Guard gives regulated enterprises operational control of their AI agents. Our sovereign AI control plane identifies, authorizes, enforces, meters, records, and contains every action an agent takes, running inside your own boundary.
Prediction Guard is an enterprise-ready fixed price offering (never seat based). It lets you centrally manage identity, delegated authority, runtime controls, throughput and spend, and observability across your unique combination of cloud VPC AI endpoints, self-hosted models, MCP tools, and agents. It is model and vendor agnostic, so fragmented and otherwise uncontrolled AI assets come under one plane.
Why sovereign? Sovereignty is not about digital borders. It is about operating these controls inside a boundary you own: your data center, your cloud tenancy, or your disconnected environment, under your own key custody. Hyperscaler controls hold inside their estate. Ours hold inside yours.
Operational control of every agent action: Each agent has its own identity and scoped, delegated authority. Runtime controls allow or block every model call, tool call, and data access as it happens, through both Component Input/Output Controls and Agent Behavior Controls.
Containment and interventions: Pause, scope down, or revoke an agent or an entire agent fleet in one action, including its downstream calls, with each intervention producing an evidence bundle.
Token and spend enforcement: Budgets, rate, and concurrency are hard limits that stop the action instead of generating a variance report.
Sovereign deployment: Deploy the control plane in your own VPC to enforce controls before data leaves your network or problematic outputs propagate, with options to air-gap entire AI systems.
AI Geopatriation: Reclaim physical residency of your AI assets. Keep all compute, storage, and model interactions within specific jurisdictional boundaries to meet strict data-residency and legal requirements.
Provable control: Immutable Audit Logs run continuously, and evidence bundles package any single incident for an auditor, regulator, or underwriter.
Standards-aligned governance mapping (NIST, OWASP, EU AI Act, AIUC-1)
Prediction Guard's controls are engineered to automate alignment with the NIST AI Risk Management Framework and the OWASP Top 10 for LLM and Agentic Applications. Proactive model scans and comprehensive AI BOMs give full visibility into the supply chain of your agents (model lineages, behavioral issues, system components, and third-party dependencies), so every component meets your security and compliance requirements.
Getting Started Details:
Private Offers:Contact us for custom terms, multi-year discounts, or specialized deployment requirements.
Highlights
True Sovereignty: Regain control. You dictate the lifecycle, access, throughput, tool integration, and governance of your AI systems, not an external provider.
Unified Composition: Seamlessly manage private and/or AI cloud endpoint assets through a single, self-hosted (i.e., internal) control plane.
Real Business Value: By solving the complexities of AI sovereignty and security, we clear the path for your team to build AI applications that actually move the needle.
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Bundled license for self hosted deployment of Prediction Guard's sovereign AI Control Plane inclusive of: Admin Console for AI system management, API key management, security event tracking, includes custom MCP / tool registration. Ships with agent sandbox orchestration and built-in MCP servers for web search and code execution. Includes two (2) Agent Forge and control plane deployments. Unlimited use of self-hosted or external models.
This listing offers one contract-based pricing option, sold in units. You buy a bundled license for self-hosted deployment of the AI Control Plane. Pricing is fixed software licensing, not usage-based, so you commit to a set number of units rather than paying per request. Each bundle includes two Agent Forge and control plane deployments and covers unlimited use of self-hosted or external models. To scale beyond what one unit provides, you add more units under the same license structure. Costs do not rise with the volume of AI interactions.
Top-of-mind questions for buyers
What does one unit of Prediction Guard Enterprise cover?
Each unit is a bundled license for self-hosted deployment. It includes two Agent Forge and control plane deployments, the Admin Console, API key management, security event tracking, and built-in MCP servers for web search and code execution. You also get unlimited use of self-hosted or external models.
Does my bill grow as the number of AI interactions or requests increases?
No. Pricing is fixed software licensing, not usage-based. You commit to a set number of units, so the volume of model calls, tool invocations, or agent interactions does not change your cost. To expand capacity, you add more units under the same license structure.
Does the license limit which models or providers I can connect?
No. The license covers unlimited use of self-hosted or external models. The control plane is model agnostic. You can connect self-hosted open weight models or route to external model endpoints, all under one governance framework, without separate per-model charges.
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