Noma Security 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 Noma Security focuses heavily on enterprise AI security posture management, automated red teaming, and ecosystem discovery, Prediction Guard differentiates itself through providing a sovereign, self hosted architecture that actively enforces runtime policies and delivers exportable compliance evidence directly within the customer network.

The core difference between Prediction Guard and Noma Security lies in how each platform approaches the governance and architecture of AI applications. Noma Security acts as an enterprise AI security posture management platform that focuses heavily on ecosystem discovery, automated red teaming, and lifecycle visibility. It monitors connections between models, data sources, and agents across various corporate environments to identify infrastructure vulnerabilities and assess risks across the development lifecycle.

In contrast, Prediction Guard delivers a sovereign, self hosted AI control plane that serves as the deployment foundation for building and centrally managing secure, single tenant AI systems. Rather than serving as a separate tool that observes independent applications, the Prediction Guard control plane deploys directly within the infrastructure of the organization, including highly restricted or air gapped networks by way of example. This positioning enables active runtime policy enforcement and direct management of the AI supply chain before data ever exits the network perimeter. Organizations can also generate exportable proof of alignment, such as versioned AI bills of materials, giving engineering teams an active runtime audit log to validate compliance instead of relying on static reference documents.

Evaluation Criteria		Noma Security Capabilities
Real Time Guardrails Enforcing active runtime policies to intercept malicious prompts, injection attacks, and data leakage during live model interactions.	✓ Built in governance engine that inspects and filters inputs inside the control plane before requests reach internal or external model endpoints.	✓ Offers runtime protection and real time guardrails to monitor agent communication and block threats or unauthorized behavior.
Asset Discovery and Inventory Tracking and maintaining visibility over models, autonomous agents, Model Context Protocol servers, and data connections.	✓ Allows teams to inventory and compose models, tools, and components into structured AI systems managed behind a unified gateway.	✓ Provides comprehensive security posture management with automated discovery to catalog homegrown, SaaS, and shadow AI assets.
Sovereign Infrastructure Plane Operating as a self hosted control plane that replaces external gateways to eliminate third party supply chain and endpoint vulnerabilities.	✓ Deploys completely within a private network or air gapped infrastructure as a sovereign gateway, removing reliance on external routing libraries.	✕ Functions primarily as an overlay security and testing layer rather than serving as the foundational hosting gateway or development infrastructure.
Exportable Governance Proofs Generating verifiable, versioned AI Bills of Materials and runtime logs for direct export into compliance pipelines.	✓ Supports compiling system contents into versioned compliance artifacts such as CycloneDX formats along with streaming logs for SIEM systems.	− Tracks posture and compliance gaps across discovered applications but lacks native tools to generate versioned AI Bills of Materials for custom systems.
Governed No Code Workspaces Providing built in creation tools for non technical staff where security policies are natively baked into development.	✓ Includes Agent Forge, a graphical interface plugged directly into the security harness, enabling rapid deployment without separate security tracking.	✕ Lacks application development workspaces or citizen developer creation tools, focusing instead on monitoring software built in external environments.
Edge Deployment and Controls Centralized administration capable of enforcing quota limits, rate throttling, and immediate operational shutdown at the edge.	✓ Centrally manages distributed environments via an Admin Console, equipping teams with asset level kill switches and rate limiting for edge nodes.	✕ Positioned for enterprise network environment mapping and risk assessment rather than provisioning active infrastructure controls for edge hardware.

✓ Covered

− Partial / unclear

✕ Not covered

What is the main structural difference between Prediction Guard and Noma Security?

Noma Security acts as an overlay posture management and threat testing platform that discovers and monitors pre-existing applications, SaaS platforms, and distributed developer tools across an enterprise network. Prediction Guard serves as a foundational self hosted control plane and sovereign gateway where engineering teams directly build, manage, and execute their custom artificial intelligence systems and autonomous agents.

Does Prediction Guard support completely air gapped or private deployments?

Yes. Prediction Guard is built for highly secure environments and can be deployed entirely on premises or within an isolated, air gapped cloud environment. Because the governance engine lives directly inside this self hosted control plane, all policy checks and data filtering occur inside your private network perimeter before any external communication happens.

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

Prediction Guard provides a highly predictable financial model using a flat, fixed annual software product license. This removes the budget volatility associated with per seat tracking or variable volume usage metrics. In contrast, Noma Security utilizes contract and subscription structures often listed on cloud marketplaces that specify set usage quantities or entitlement tiers which can fluctuate based on the scale of your deployment.

Is Noma Security complementary with Prediction Guard’s AI Control Plane?

No. Because both platforms offer runtime guardrails and active policy enforcement for enterprise artificial intelligence, they represent separate architectural choices rather than complementary additions. Noma Security is designed for security teams needing widespread visibility and posture mapping across distributed, pre existing legacy systems. Prediction Guard is designed for engineering teams who need a secure, foundational control plane to host and isolate proprietary applications. Only endpoint protection software or laptop data loss prevention tools that track individual staff browsing habits would serve as a true complementary layer to Prediction Guard.

How does Prediction Guard prevent external gateway risks compared to traditional security tools?

Traditional security tools and overlays often monitor traffic after an application uses external routing libraries, leaving them vulnerable to infrastructure hacks. Prediction Guard unifies your models, tools, and Model Context Protocol servers behind a single sovereign gateway. This setup ensures that data screening, privacy scrubbing, and policy checks happen locally inside your network before any request is sent to an external model provider.

Can non technical teams build secure agents directly within Prediction Guard?

Yes. Prediction Guard includes Agent Forge, which is a built in visual workspace where non technical staff can rapidly assemble domain specific agents. Because Agent Forge is natively wired into the core governance harness of the control plane, all citizen developed agents automatically follow your corporate compliance and security rules without requiring separate monitoring tools.

Noma Security vs. Prediction Guard: Sovereign AI Governance and Control Planes

What is the primary difference between Prediction Guard and Noma Security?

Feature Capability Matrix: Prediction Guard vs. Noma Security

FAQs: Prediction Guard vs. Noma Security