Model Guardian

Model Guardian

Risk Engine that evaluates AI models using source intelligence and static & dynamic red teaming for vulnerability assessments.

The Challenge

  • Teams adopt models without enough evidence on source, license, data risk, or weaknesses.
  • Manual model reviews slow down AI projects and create inconsistent approval decisions.
  • Static checks alone do not reveal jailbreak, abuse or prompt-level vulnerabilities.
  • The Solution

    Model Guardian combines model inventory, static analysis, provenance checks and red teaming to approve, restrict or block models based on enterprise risk policy.

    Core Capabilities & Mechanics

    Model Risk & Trust Assessment:

    Assess internal, external, and open-source models for risk, trust, and suitability before enterprise use.

    Static Model Analysis:

    Identify model metadata, licensing, exposure, and compliance concerns early in the review process.

    Provenance & Identity Checks:

    Validate model source, ownership, and approved usage to reduce supply chain and governance risks.

    Dynamic Red Teaming:

    Test models against jailbreak, misuse, abuse, and unsafe response scenarios.

    Model Approval Workflows:

    Capture governance evidence and approvals before models are used in enterprise applications.

    Benefits

    Create a repeatable approval process for AI models.

    Reduce risk from unvalidated or poorly understood models.

    Support compliance, legal and security review with evidence.

    Enable faster model adoption without skipping governance.

    FAQ Quick Access

    Frequently Asked Questions

    What is an Model Guardian?
    The Model Guardian is a security and governance solution that places guardrails around generative AI usage. It prevents data leakage, blocks malicious prompts, enforces compliance, and provides real-time visibility and control across your organization.
    Why do I need an Model Guardian if I already secure my network and data?
    Traditional firewalls protect your network, but they don’t address AI-specific risks such as prompt injection, hallucinations, or shadow AI. The AI Firewall is purpose-built to monitor and govern how AI tools are used, ensuring your sensitive data and business remain safe.
    How does the Model Guardian protect sensitive data?
    It prevents PII, PHI, and proprietary information from leaving your environment. Data classification and policy-based controls ensure only safe, compliant information is shared with AI systems.
    What types of risks can the Model Guardian prevent?
    The Model Guardian protects against:

    Prompt injection and jailbreaks (malicious instructions)
    Hallucinations and unsafe outputs
    Toxic or non-compliant content
    Shadow AI usage (unsanctioned AI tools)
    Sensitive data leakage
    Can I set my own policies and rules?
    Yes. The Model Guardian allows you to define AI usage rules in natural language. You can enforce governance by role, group, or workflow, ensuring AI is used responsibly across your organization.
    Does the Model Guardian help with compliance requirements?
    Absolutely. It helps align AI usage with regulations such as the EU AI Act, NIST AI RMF, GDPR, and HIPAA, making it easier for enterprises to adopt AI while staying compliant.
    How does the Model Guardian give visibility into AI usage?
    It provides real-time monitoring, auditing, and mapping of AI interactions. You can see who is using AI, how it’s being used, and whether it complies with company policies.
    Where can the Model Guardian be deployed?
    The Model Guardian supports multiple deployment options:

    On-Premises (within your infrastructure)
    Private Cloud
    Air-Gapped environments (no internet)
    SaaS (fully managed)
    How is “AI Guardrails” different from features?
    “AI Guardrails” refers to the overall framework of protections, policies, and visibility the AI Firewall provides. Individual features—like data leakage prevention or prompt injection blocking—are the tools that enforce those guardrails.
    Who should use an Model Guardian?
    The Model Guardian is designed for regulated industries (finance, healthcare, government, legal, etc.), enterprises concerned with data privacy, and any organization adopting generative AI that wants to ensure security, compliance, and control.

    Approve models with evidence – not assumptions.

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