List of WitnessAI Protect Customers
Mountain View, 94040, CA,
United States
Since 2010, our global team of researchers has been studying WitnessAI Protect 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 WitnessAI Protect for 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 WitnessAI Protect for Vulnerability Management include: InComm Payments, a United States based Professional Services organisation with 2400 employees and revenues of $1.10 billion, VyStar Credit Union, a United States based Banking and Financial Services organisation with 2300 employees and revenues of $474.0 million and many others.
Contact us if you need a completed and verified list of companies using WitnessAI Protect, 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 WitnessAI Protect 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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InComm Payments | Professional Services | 2400 | $1.1B | United States | WitnessAI | WitnessAI Protect | Vulnerability Management | 2025 | n/a | In 2025, InComm Payments implemented WitnessAI Protect in its Vulnerability Management estate to monitor and control AI interactions. The deployment focused on preventing PCI, PHI, and PII leakage to third-party models while routing alerts into the company SOC, existing DLP workflows, and privacy review processes. WitnessAI Protect was provisioned with out-of-the-box integrations and configured in a modular way to support Observe, Control, and Protect capabilities. Observe was used to surface telemetry and prompt-level visibility, Control was applied to route and gate sensitive prompts before model calls, and Protect delivered enforcement, logging, and policy application for auditability. Integration work concentrated on feeding alerts and escalations into the security operations center, data loss prevention systems, and privacy workflows, creating a direct operating linkage between security, privacy, and compliance teams. The deployment covered InComm Payments compliance and security operations in the United States and centralized routing of sensitive prompts into established incident handling and privacy review queues. The implementation delivered rapid time-to-value via vendor-supplied integrations, provided total visibility for compliance teams, and established routing and control of sensitive prompts through WitnessAI Protect. | |
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VyStar Credit Union | Banking and Financial Services | 2300 | $474M | United States | WitnessAI | WitnessAI Protect | Vulnerability Management | 2024 | n/a | In 2024, VyStar Credit Union deployed WitnessAI Protect as an early beta Vulnerability Management initiative to gain visibility into employee use of third party AI tools and to enforce AI usage policies protecting customer and proprietary data. The engagement concentrated on policy controls for AI tool use within employee workflows and alignment with security and compliance objectives. The implementation applied WitnessAI Protect capability sets aligned to Observe and Protect, with Observe delivering telemetry and activity monitoring of third party AI access and usage patterns, and Protect enforcing configured data handling policies and automated detection of high risk exposures. Configuration work emphasized policy rule definition, automated detection and alerting, and integration of enforcement actions into existing incident handling workflows. Operational coverage focused on employee facing scenarios where third party generative AI could touch sensitive customer or proprietary information, affecting customer service and other business functions that interact with sensitive data. The deployment was phased as a beta, oriented toward validating policy enforcement and observing user behavior before broader adoption. Governance adjustments centralized AI usage policy management in security and compliance processes, incorporating WitnessAI Protect generated alerts and enforcement workflows into existing policy governance. The early beta deployment delivered policy enforcement and productivity improvements as reported by the engagement. |
Buyer Intent: Companies Evaluating WitnessAI Protect
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