AI Compliance Vendors

How to evaluate Prediction Guard

Self-hosted AI control plane that applies runtime policy controls to models, agents and MCP tools inside the customer's own infrastructure

Last updated October 29, 2026 · Every fact traceable to a public source

Prediction Guard — Self-hosted AI control plane that applies runtime policy controls to models, agents and MCP tools inside the customer's own infrastructure. This page distills the key evaluation questions for procurement teams considering Prediction Guard. Every data point links back to a public source on the vendor profile.

What does Prediction Guard actually do?

Self-hosted AI control plane that applies runtime policy controls to models, agents and MCP tools inside the customer's own infrastructure

Which frameworks does Prediction Guard cover?

Prediction Guard references coverage of NIST AI RMF, EU AI Act, ISO/IEC 42001 in their own materials. Every claim links to a public source on the vendor page.

How is Prediction Guard priced?

Pricing model: tiered. No prices on predictionguard.com. Its AWS Marketplace listing gives a 12-month bundled license at $165,000 covering two AI systems, 25 requests per second and unlimited monthly requests, with up to 10% off for 24 months. The Azure Marketplace listing describes a fixed-price offering that is never seat-based, with private offers on request.

What should I check before buying?

Verify these six things: (1) which frameworks the vendor covers end-to-end (not just references), (2) accredited certifications (SOC 2 Type II, ISO 27001, ISO/IEC 42001), (3) data-residency options, (4) model coverage (proprietary models, open-source models, third-party APIs), (5) red-teaming depth, and (6) customer-reference calls. Every claim on Prediction Guard's profile on this site is linked to a public source.

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This FAQ is editorial. No vendor can pay to be highlighted or ranked in answers, and the written commentary on this page is payment-free. Paid placements elsewhere on the site are labeled “Sponsored” where they appear. Read our methodology for details.