List of Protect AI Recon Customers
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United States
Since 2010, our global team of researchers has been studying Protect AI Recon 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 Recon 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 Recon for Threat Modeling, Vulnerability Management include: Leidos, a United States based Aerospace and Defense organisation with 47000 employees and revenues of $16.66 billion, Telus, a Canada based Communications organisation with 106800 employees and revenues of $14.47 billion, Atomicwork Software India, a India based Professional Services organisation with 100 employees and revenues of $10.0 million and many others.
Contact us if you need a completed and verified list of companies using Protect AI Recon, 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 Recon 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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Atomicwork Software India | Professional Services | 100 | $10M | India | Protect AI | Protect AI Recon | Threat Modeling,Vulnerability Management | 2024 | n/a | In 2024, Atomicwork Software India implemented Protect AI Recon to strengthen pre-production checks for its GenAI and large language model deployments. Protect AI Recon, in the Threat Modeling,Vulnerability Management category, was applied to identify and remediate security blindspots before models reached production. The implementation leveraged the automated red-teaming capability originally delivered as SydeLabs’ SydeBox and now branded Protect AI Recon, focusing on adversarial testing of LLM behavior and systematic identification of model-level vulnerabilities. Functional use included orchestrated red-team test runs, vulnerability detection workflows, and issue routing to engineering for remediation. Operational coverage centered on supporting Atomicwork’s IT and ITSM engineering efforts in the United States, with the tool positioned as a pre-deployment security verification layer for GenAI initiatives. Deployment scope emphasized model-level threat analysis and remediation handoffs rather than enterprise-wide infrastructure changes. Governance adjustments routed red-team findings into existing IT/ITSM workflows to ensure remediation occurred prior to production release, aligning security testing with engineering change processes. Reported outcomes included an improved ability to detect and remediate LLM vulnerabilities before deployment, reflecting tighter control over model release readiness. | |
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Leidos | Aerospace and Defense | 47000 | $16.7B | United States | Protect AI | Protect AI Recon | Threat Modeling,Vulnerability Management | 2025 | n/a | In 2025, Leidos deployed Protect AI Recon to provide full lifecycle AI security for U.S. government systems. The deployment uses Protect AI Recon in the Threat Modeling,Vulnerability Management category to address model vulnerability scanning, automated red teaming, and runtime protections for mission critical government and national security applications in the United States. The implementation centers on three functional modules, model vulnerability scanning to identify weaknesses in model inputs and architectures, automated red teaming labeled Recon to simulate adversarial manipulation, and runtime protections that monitor model behavior in production. Configuration priorities included scanning cadence, curated attack scenario libraries for Recon, and runtime policy enforcement and alerting. These capabilities map to standard threat modeling and vulnerability management workflows for AI systems. Operational scope covers government customers and mission critical systems across development, testing, and production environments, with Protect AI Recon embedded during model development and runtime monitoring. The engagement emphasizes adherence to federal security standards and procedural integration points across engineering and security operations rather than named commercial integrations. No system integrator or implementation partner was provided in the public disclosure. Governance and rollout are organized as a collaborative program between Leidos and Protect AI that formalizes red team driven workflows, vulnerability triage, and incident escalation across engineering and security operations teams. The stated purpose of the deployment is to help government customers detect adversarial manipulation and meet federal security standards. | |
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Telus | Communications | 106800 | $14.5B | Canada | Protect AI | Protect AI Recon | Threat Modeling,Vulnerability Management | 2025 | n/a | In 2025 Telus Digital implemented Protect AI Recon to extend its Threat Modeling,Vulnerability Management posture for AI APIs and production AI tooling. Telus deployed Protect AI Recon as a runtime security and red-teaming capability to strengthen detection across its digital services and AI transformation initiatives in Canada. Protect AI Recon was configured to provide automated red-teaming workflows and runtime threat detection, with functional emphasis on simulated adversary testing, anomaly detection in API payloads, and vulnerability discovery for model inference endpoints. The implementation used Protect AI Recon capabilities to instrument API activity logging, alerting on malicious inputs, and classifying detection events for downstream security triage. The deployment was integrated with Palo Alto Networks Prisma AIRS which incorporates Protect AI capabilities, enabling telemetry sharing between Protect AI Recon and the broader Prisma AIRS monitoring fabric. Operational coverage focused on Telus Digital engineering and security operations, applying Protect AI Recon across AI tooling and customer-facing digital services to capture API call context and threat signals. Governance and rollout followed an early adopter pattern, aligning Protect AI Recon outputs into security operations workflows and AI engineering feedback loops to remediate exposed weaknesses. Reported outcomes from the deployment include improved visibility into API calls and consolidated threat detections across AI tooling, while instrumentation supported ongoing vulnerability management and threat modeling activities. |
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