List of Protect AI Guardian Customers
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United States
Since 2010, our global team of researchers has been studying Protect AI Guardian customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased Protect AI Guardian for Threat Modeling, Vulnerability Management from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using Protect AI Guardian for Threat Modeling, Vulnerability Management include: Leidos, a United States based Aerospace and Defense organisation with 47000 employees and revenues of $16.66 billion, Hugging Face, a United States based Professional Services organisation with 500 employees and revenues of $50.0 million and many others.
Contact us if you need a completed and verified list of companies using Protect AI Guardian, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the software purchases.
The Protect AI Guardian customer wins are being incorporated in our Enterprise Applications Buyer Insight and Technographics Customer Database which has over 100 data fields that detail company usage of software systems and their digital transformation initiatives. Apps Run The World wants to become your No. 1 technographic data source!
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight | Insight Source |
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Hugging Face | Professional Services | 500 | $50M | United States | Protect AI | Protect AI Guardian | Threat Modeling,Vulnerability Management | 2024 | n/a | In 2024, Hugging Face integrated Protect AI Guardian, a Threat Modeling,Vulnerability Management application, to scan the Hugging Face Hub and provide inline security alerts for model consumers. The implementation embedded scanning and inline alerting into Hub delivery flows, extending protection across model publishing and model consumption to secure the ML model supply chain and the developer community. Protect AI Guardian was configured to perform continuous automated model scanning, risk classification and inline notification, with detection tuned to surface unsafe or suspicious model artifacts and metadata. Configuration emphasized inline security alerts for model consumers and developer facing reporting, aligning scanning outputs with model governance and consumption controls. Integration was executed at the platform level, linking Protect AI Guardian scanning outputs to Hugging Face Hub user facing interfaces and API workflows, operating globally with headquarters in the United States. As of April 1, 2025 Protect AI reported Guardian had scanned approximately 4.47 million model versions and surfaced hundreds of thousands of unsafe or suspicious findings, outcomes the vendor presented as improvements in model governance and risk visibility. Operational scope targeted developer teams and model consumers across Hugging Face's global footprint, and governance processes were adjusted to ingest Guardian findings into existing review and takedown workflows. The Protect AI Guardian integration established continuous vulnerability monitoring and inline alerting as part of Hugging Face's platform governance and model supply chain protection. | |
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Leidos | Aerospace and Defense | 47000 | $16.7B | United States | Protect AI | Protect AI Guardian | Threat Modeling,Vulnerability Management | 2025 | n/a | In 2025, Leidos integrated Protect AI Guardian into its secure digital modernization collaboration with Protect AI to focus on mission-critical and national security AI workflows across U.S. government systems. The deployment centers on the Threat Modeling,Vulnerability Management category, positioning Protect AI Guardian as the focal application for model scanning, runtime monitoring, and adversarial testing in agency AI estates. The implementation leverages Protect AI Guardian alongside inferred Protect AI modules such as Layer and Recon to deliver layered capability across model lifecycle stages. Model scanning and artifact analysis are applied pre-deployment to identify vulnerabilities and misconfigurations, runtime monitoring captures telemetry and behavioral anomalies during operation, and red teaming or adversarial emulation exercises are used to probe exposed model attack surfaces. Integration work emphasizes embedding Protect AI Guardian capabilities into agency AI engineering and security operations workflows, with technical touchpoints at model development pipelines, deployment runtime environments, and operational monitoring consoles. The operational scope is described for U.S. government agencies and specifically targets mission-critical and national security AI workflows, aligning Threat Modeling,Vulnerability Management controls with program offices and security operations centers. Governance and process changes center on formalizing model risk scanning gates, establishing continuous monitoring and alerting workflows, and feeding simulated attack findings into vulnerability management triage processes. Protect AI Guardian is described as a platform component that informs policy enforcement and incident response playbooks for AI systems, supporting structured oversight of model security across the stated agency modernization efforts. |
Buyer Intent: Companies Evaluating Protect AI Guardian
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