AI Governance Enforcement Aligned to Frameworks like NIST and OWASP

Configure default or system-specific governance policies and have confidence that these are enforced at runtime across all AI interactions and agents, before any data leaves your security boundary. As an AI governance platform built for regulated enterprises, Prediction Guard exports proof of alignment to frameworks like NIST AI RMF, NIST 600-1, AIUC-1, and OWASP.

Customize Governance Modules to Match Your Security Posture or Regulatory Burden

Every organization is different, and different AI use cases within the same organization often need different governance settings. Prediction Guard allows you to enforce custom policies within your organization.

You could enforce AI governance in one way for your internal AI system, and in a completely different way for external facing AI products. Or you could relax AI governance setting for your R&D lab and apply a NIST 600-1 governance pre-set for a productized AI system.

Send AI Security Events to Your Existing Security and Monitoring Infrastructure

We don't want your security and compliance teams to have yet another dashboard and tool. When AI agents or applications violate your governance policies, we maintain an audit log that can be ingested by the tools that you are already using like Datadog or Splunk.

Proactively Analyze the Risk Associated with the Models in your AI Systems

Public AI benchmarks are tainted because all model vendors have processed these into their training data sets. We have private security and safety model scanning pipelines that independently verify the risks associated with any AI model.

Review these scans as you assemble your AI systems and have Prediction Guard aggregate the information (via AIBOM or indications in our Admin Console) to help you understand the risk across your inventory of AI assets.

A Full AI Bill of Materials for Every AI System

Prediction Guard generates a complete inventory of everything running inside each AI system: private models, managed models, external models, guardrails, and MCP servers, all in one exportable report. Integrate these AIBOMs into your security systems via compatible formats such as CycloneDX.

Token Budget Enforcement

Prevents runaway agent loops and runaway costs by applying per-agent, per-session, and per-workflow token limits before it spirals out of control.

Governance Baselines

Quickly align your governance enforcement to frameworks like NIST AI RMF, NIST 600-1, OWASP LLM Top 10, and OMB M-26-04.

PII Protection

Prevent unauthorized disclosure of PII. Block or log when PII flows into or out of models or MCP servers. Remediate these instances by masking, faking, or replacing PII within user inputs or AI outputs.

Prompt Injection Detection

Detect and block jailbreaking, direct prompt injection, and indirect prompt injection attacks across every model and agent in the system.

Handle Unsafe AI Outputs

Enforce the detection and logging of unsafe model outputs, including toxicity, lack of grounding, malicious URLs, and system prompt leakage.

Immutable Audit Log

Maintain a tamper-proof log of every governance violation with attribution information, timestamps, and input/output data for compliance.

SIEM / SOAR Integration

Stream structured AI events to Splunk, Grafana, Datadog, or any other SIEM/SOAR system used within your organization.

An AI governance platform is software that enforces policy, tracks risk, and produces audit-ready evidence across an organization's AI systems, models, and agents. Most platforms route AI traffic to external infrastructure to apply policy. The enforcement decision and the resulting audit log both leave your environment.

Prediction Guard runs as a self-hosted control plane instead. Governance policies are enforced at runtime, before a model call completes, and the resulting audit logs are generated inside your own infrastructure and consumed by your SIEM.

Strong AI governance tools combine a full inventory of the models, agents, and tools in use with active policy enforcement and structured audit logging, not just after-the-fact monitoring dashboards.

Prediction Guard covers all three: AI System registration for inventory, real-time enforcement against NIST AI RMF, OWASP, and AIUC-1 policies, and audit logs that forward natively into Splunk, Datadog, or any SIEM your security team already uses.

AI governance software focuses on policy enforcement, regulatory alignment, and audit evidence, while AI security software focuses on defending against attacks like prompt injection or data poisoning. In practice, enterprises need both working together.

Prediction Guard enforces governance policy and security controls, such as PII protection and prompt injection detection, from the same self-hosted control plane, so the two are never stitched together as separate tools.

Many AI governance solutions operate as external gateways that route AI traffic outside an organization's own infrastructure before applying policy.

Prediction Guard deploys entirely inside the customer's environment, self-hosted, in a cloud VPC, or air-gapped, so governance enforcement and audit logs never leave the organization's security boundary.