Trustible vs. Prediction Guard

Prediction Guard offers a secure, self hosted AI control plane with built in governance enforcement allowing organizations to observe and control AI application and agent behavior. While Trustible focuses heavily on SaaS based compliance workflows, AI use case intake, and policy documentation for legal and risk professionals, Prediction Guard differentiates itself through delivering an engineering friendly infrastructure that actively manages the AI supply chain and enforces governance policies at runtime, generating exportable proof like AIBOMs to validate this active enforcement, and adapting to flexible sovereign deployments such as air gapped environments.

The core difference between Prediction Guard and Trustible lies in the distinction between administrative policy documentation and active technical enforcement at runtime. Trustible operates as an AI governance risk and compliance platform designed for risk managers and legal professionals to oversee AI use case intake risk scoring and framework alignment. This approach focuses on managing organizational approvals and tracking policy compliance through an administrative layer without requiring direct technical integration into model infrastructure or engineering pipelines.

In contrast Prediction Guard is a sovereign self hosted AI control plane built for engineering teams and software vendors who deploy AI systems into highly secure environments. Rather than relying on manual tracking processes Prediction Guard actively inspects and governs live AI interactions and agent behaviors in real time. It enforces compliance boundaries and intercepts data risks inside the customer infrastructure before requests leave the secure network. This ensures complete data sovereignty across flexible configurations including air gapped networks while programmatically generating exportable validation logs like AI Bill of Materials.

Evaluation Criteria		Trustible Capabilities
AI Asset Inventory Tracking models and agents used across the organization.	✓ Logs all active components inside the unified control plane to map deployed AI systems.	✓ Provides a centralized registry to inventory and document enterprise AI use cases and models.
Regulatory Framework Alignment Mapping organizational processes to standards like NIST AI RMF or ISO 42001.	✓ Evaluates system configurations and logs events against specified compliance framework standards.	✓ Translates international regulations into structured questionnaires and compliance approval workflows.
Active Runtime Policy Enforcement Intercepting data and blocking prompt injections or PII leaks in real time.	✓ Validates and blocks risk at the control plane before requests reach external or internal model endpoints.	✕ Lacks inline data interception capabilities and relies on manual or post facto administrative reviews.
Self Hosted Sovereign Architecture Operating within secure on premises, cloud VPC, or completely air gapped environments.	✓ Deploys completely inside customer infrastructure with zero data leakage to external vendor networks.	✕ Built primarily as a SaaS platform designed for administrative oversight rather than local hosting.
Native Governed Agent Building Developing text or tool based agents directly connected to a security harness.	✓ Includes a built in UI and developer APIs that automatically pass all agent actions through governance filters.	✕ Focuses on documenting agent workflows for compliance rather than providing an environment to build or run them.
Automated Technical Evidence Generating exportable technical artifacts like versioned AIBOMs and live logs for SIEM systems.	✓ Produces exportable CycloneDX AIBOMs and routes live event logs to security operations systems.	− Generates reporting dashboards and compliance documentation for stakeholders but does not output technical supply chain artifacts or live SIEM feeds.

✓ Covered

− Partial / unclear

✕ Not covered

How does the pricing model of Trustible compare with Prediction Guard’s pricing model?

Trustible operates on a traditional enterprise SaaS pricing model which typically involves variable costs based on user seats or usage tiers. Prediction Guard provides a highly predictable flat structure through a fixed annual software product license. This means organizations get full access to the AI control plane without worrying about unpredictable per seat charges or usage based scaling fees as their AI adoption grows.

Is Trustible complementary with Prediction Guard’s AI Control Plane?

No because they target entirely different operational layers and business functions within the AI governance landscape. Trustible is a software as a service platform designed for risk management and legal professionals to document policies, manage use case intake, and complete compliance questionnaires. Prediction Guard is a technical infrastructure control plane built for engineering teams to deploy, run, and actively enforce data policies in real time. Organizations looking to build secure, sovereign AI applications deploy Prediction Guard as their technical foundation to handle real time data interception and active policy execution.

How does Prediction Guard active runtime enforcement protect against external AI gateway risks?

Unlike platforms that only audit use cases after deployment, Prediction Guard sits directly within the data pathway inside the customer infrastructure. Before any prompt or data payload reaches an internal or external model endpoint, the control plane intercepts the request to scan for risks like PII leakage or prompt injections. This architecture prevents data from ever leaving the secure local network before governance policies are applied, neutralizing infrastructure vulnerabilities that common external gateways introduce.

Can Prediction Guard operate in completely air gapped or highly constrained environments?

Yes. Prediction Guard is designed specifically for high security sectors like defense, government, and financial services where cloud access is restricted or prohibited. The entire AI control plane can be deployed on premises, within a private cloud virtual private cloud, or in a completely air gapped network. Because it is infrastructure and model vendor agnostic, teams can run entirely self hosted models and localized agents at the edge without requiring external internet connectivity.

What exportable proof does Prediction Guard provide to validate regulatory compliance?

Prediction Guard automatically compiles and versions technical artifacts to deliver objective proof of compliance over time. Engineers can export an AI Bill of Materials in standardized formats like CycloneDX to catalog every model, tool, and component within their AI system. Additionally, the platform feeds a continuous runtime audit log of security events and policy enforcements directly into existing enterprise security monitoring infrastructure like Datadog or Splunk.

What is Agent Forge and how does it maintain corporate governance?

Agent Forge is a built in no code user interface inside Prediction Guard that allows non technical staff to quickly build domain specific AI agents. While traditional agent builders bypass security teams, agents built in Agent Forge are natively plugged into the core governance harness of the Prediction Guard control plane. This setup ensures that every automated handshake, tool use, and model interaction remains fully monitored and restricted by corporate data policies by default.

Trustible vs. Prediction Guard: Active Runtime Enforcement and Sovereign AI Control

What is the primary difference between Prediction Guard and Trustible?

Feature Capability Matrix: Prediction Guard vs. Trustible

FAQs: Prediction Guard vs. Trustible