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Protect AI (ModelScan) uses custom pricing as of August 2026. Contact Protect AI (ModelScan) directly for a personalized quote. Pricing depends on your chosen tier, contract length, and negotiated discounts.

Use the interactive pricing calculator to estimate your exact cost based on team size and requirements.

  • Free tier: No free tier available

Protect AI (ModelScan) offers 1 pricing tiers: ModelScan.

Last verified: | Sources: 1 pricing pages and reviews
Know Before You Buy — Request Protect AI (ModelScan) Pricing

Protect AI (ModelScan) uses custom pricing, and hidden costs like implementation and support add to the quoted price as of August 2026. Contact the vendor for a quote. Hidden costs like implementation and support add significantly to the total. Key hidden costs: internal resources & expertise, integration efforts, operational overhead. Verified from 1 sources by CostBench.

Hidden Costs Breakdown

1

Internal Resources & Expertise

high implementation

Organizations will need to allocate internal engineering and security talent to deploy, integrate, and maintain ModelScan within their existing ML pipelines and CI/CD processes, including setup, configuration, and interpreting vulnerability reports.

industry

Hidden/Implementation Costs for ModelScan (Open-Source): * Internal Resources and Expertise: Organizations will need to allocate internal engineering and security talent to deploy, integrate, and maintain ModelScan within their existing ML pipelines and CI/CD processes

2

Integration Efforts

high implementation

Integrating ModelScan effectively requires embedding it at multiple stages of the ML lifecycle, such as scanning pre-trained models, after training, and before deployment, which demands time and technical skill.

industry

Integration Efforts: Integrating ModelScan effectively requires embedding it at multiple stages of the ML lifecycle, such as scanning pre-trained models before use, after training, and before deployment to an endpoint

3

Operational Overhead

medium overage

Ongoing operational costs can include monitoring scan results, triaging identified vulnerabilities, and potentially developing custom rules or integrations to fit specific organizational security policies.

industry

Hidden/Implementation Costs for ModelScan (Open-Source): * Internal Resources and Expertise: Organizations will need to allocate internal engineering and security talent to deploy, integrate, and maintain ModelScan within their existing ML pipelines and CI/CD processes

4

Training & Education

medium training

Teams may require training to effectively use ModelScan and understand the implications of the vulnerabilities it detects, particularly concerning model serialization attacks.

industry

Training and Education: Teams may require training to effectively use ModelScan and understand the implications of the vulnerabilities it detects, particularly concerning model serialization attacks

5

Broader AI Security Costs

critical implementation

Securing AI models and applications generally involves significant costs related to security assessments, vulnerability testing, re-deployment, data protection controls, and talent and infrastructure expenses, with some companies exhausting annual AI budgets in months.

industry

Broader AI Security Costs: Beyond ModelScan, securing AI models and applications generally involves significant costs related to security assessments, vulnerability testing, re-deployment, data protection controls (like encryption and masking), and talent and infrastructure expenses, especially in cloud environments

6

Integration & Maintenance

medium implementation

Integrating ModelScan into existing ML pipelines and CI/CD workflows requires engineering effort and expertise for setup, configuration, and ongoing maintenance.

industry

While ModelScan is free to use, organizations implementing it may incur indirect costs related to: * Integration and Maintenance: Integrating ModelScan into existing ML pipelines and CI/CD workflows requires engineering effort and expertise

7

Talent & Infrastructure Allocation

high implementation

Enterprises must allocate talent and infrastructure resources for security assessments, vulnerability testing, and redeploying AI tools to effectively manage open-source security tools like ModelScan, which can consume high costs.

industry

Talent and Infrastructure: Enterprises need to allocate talent and infrastructure resources for security assessments, vulnerability testing, and redeploying AI tools, which can consume high costs

8

Holistic AI Security Framework

high addon

A holistic AI security framework requires additional tools and strategies for robust model training, real-time detection, regular model evaluation, access control, and incident response planning, incurring costs beyond ModelScan itself.

industry

A holistic AI security framework often requires additional tools and strategies for robust model training, real-time detection systems, regular model evaluation, access control, and incident response planning

9

Post-Acquisition Cost of Entry

critical overage

For teams not already Palo Alto Networks customers, the acquisition has made the cost of entry for enterprise-grade AI security solutions significantly higher due to Palo Alto's enterprise licensing model.

industry

Post-Acquisition Pricing Impact: For teams that were not already Palo Alto Networks customers, the acquisition has made the cost of entry for these enterprise-grade AI security solutions "significantly higher" due to Palo Alto's enterprise licensing model

10

Extended Procurement Process

medium implementation

The custom pricing model and consultative approach for commercial products can extend the procurement process, making it slower than self-serve options.

industry

Procurement Process: The custom pricing model and consultative approach can extend the procurement process, making it slower than self-serve options

11

Implementation Complexity & Management

high implementation

Potential hidden costs for enterprise-grade AI security platforms include implementation complexity, the time and resources needed for setup, and the ongoing management of the platform.

industry

Hidden Costs (Commercial): For enterprise-grade AI security platforms in general, potential hidden costs can include implementation complexity, the time and resources needed for setup, and the ongoing management of the platform

12

Total Cost of Ownership

high overage

The total cost of ownership extends beyond the initial purchase price to include operational expenditures for computing and storing, re-patching, and redeploying to address vulnerabilities.

industry

The "total cost of ownership" extends beyond the initial purchase price to include operational expenditures for computing and storing, re-patching, and redeploying to address vulnerabilities

13

ModelScan Implementation & Integration

medium implementation

Integrating ModelScan into existing ML pipelines and CI/CD processes requires internal talent and infrastructure for setup, configuration across various model formats, and establishing scanning workflows.

industry

However, organizations adopting ModelScan may incur indirect costs related to: * Implementation and Integration: Integrating ModelScan into existing ML pipelines and CI/CD processes requires internal talent and infrastructure

14

ModelScan Ongoing Maintenance & Expertise

medium support

As ModelScan is now community-maintained, organizations rely on community support for updates and issue resolution, potentially requiring dedicated internal expertise.

industry

Ongoing Maintenance and Expertise: While ModelScan was initially developed by Protect AI, it is now community-maintained following Protect AI's acquisition by Palo Alto Networks

15

Enterprise Platform Custom Pricing

high implementation

The enterprise platform uses a custom pricing model without public tiers, requiring direct sales engagement for a tailored quote, which complicates cost comparison and preliminary budgeting.

industry

Protect AI's enterprise platform, which includes tools like Guardian (AI model security), Recon (scalable red teaming), Layer (runtime security), and Radar (centralized AI security posture management), is an enterprise-grade solution with custom pricing

16

Resource Intensiveness

medium implementation

ModelScan may require significant system resources to operate effectively when processing large models or extensive pipelines.

industry

Resource Intensiveness: Some AI security tools, including potentially ModelScan when processing large models or extensive pipelines, may require significant system resources to operate effectively

17

Vulnerability Remediation

high implementation

The cost of remediating vulnerabilities identified by ModelScan, such as malicious code or unsafe deserialization, would be an additional implementation cost.

industry

Addressing Detected Vulnerabilities: The cost of remediating vulnerabilities identified by ModelScan, such as malicious code or unsafe deserialization, would be an additional implementation cost

18

Commercial Transition

medium addon

If ModelScan's open-source capabilities are insufficient, transitioning to Protect AI's commercial offerings like Guardian would introduce direct licensing costs.

industry

Protect AI's ModelScan is an open-source and freely available tool, meaning it does not have direct licensing costs, auto-renewal clauses, cancellation windows, minimum commitments, or annual price uplifts typically associated with commercial software

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