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Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Michelin, an e2open customer evaluated Oracle Transportation Management

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

List of Bolster AI Customers

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Logo Customer Industry Empl. Revenue Country Vendor Application Category When SI Insight Insight Source
CaptivateIQ Professional Services 335 $28M United States Bolster Bolster AI Phishing Protection 2024 n/a In 2024 CaptivateIQ deployed Bolster AI to protect its hiring workflows from spoofed domains and fake job postings, using the solution as a Phishing Protection capability focused on HR recruitment processes in the United States. The engagement centered on operational detection and automated takedown workflows to address externally hosted spoofed sites and fraudulent social listings targeting candidates and recruiters. The implementation emphasized two operational modules, domain monitoring and social media takedowns, with Bolster AI instrumenting continuous monitoring and automated takedown orchestration. During the proof of concept the system detected an active spoofed site, and in the first week of full deployment additional malicious domains were removed, demonstrating the platform level domain monitoring and removal functions in production. Deployment architecture was organized around continuous external surface monitoring and takedown orchestration, with Bolster AI providing automated removal workflows that reduced the need for manual and legal escalation. Configuration focused on candidate facing channels and employer brand signals, and the platform executed takedowns and sustained surveillance across public web and social endpoints aligned to CaptivateIQ hiring processes. Governance and operational control moved toward an automated remediation model for HR teams, with centralized oversight of takedown activities and reduced manual coordination with legal teams. Bolster AI Phishing Protection was used to instrument detection, initiate removal actions, and maintain ongoing monitoring, and the case study reports this reduced manual and legal effort while speeding remediation of spoofed recruitment assets.
Daniel Defense Aerospace and Defense 200 $20M United States Bolster Bolster AI Phishing Protection 2023 n/a In 2023, Daniel Defense deployed Bolster AI as a Phishing Protection solution to protect its brand and to preserve customer-facing e-commerce trust in the United States. The engagement was initiated after incidents of fraud and costly UDRP-driven removals, and it focused on continuous monitoring for lookalike domains and automated takedown workflows. Bolster AI was configured to run continuous domain monitoring and automated takedown modules, leveraging the vendor’s connections to hosting providers to accelerate remediation. The implementation centralized domain discovery, evidence collection, takedown initiation, and post-takedown verification into a single operational flow, reducing manual case assembly for brand protection teams. Operational coverage targeted customer-facing e-commerce channels and brand protection functions, with legal and security stakeholders engaged in takedown approvals and escalation paths. The deployment emphasized automated takedowns tied to monitoring alerts, and Bolster AI’s continuous monitoring maintained ongoing surveillance of lookalike domains across relevant hosting ecosystems. The vendor case study reports that faster takedowns saved legal time and expense and delivered near-immediate ROI for Daniel Defense. This implementation links Daniel Defense, Bolster AI, Phishing Protection, and brand protection business functions through a continuous monitoring and automated remediation architecture.
SoFi at Work Banking and Financial Services 5000 $2.7B United States Bolster Bolster AI Phishing Protection 2024 n/a In 2024, SoFi at Work deployed Bolster AI as a Phishing Protection solution focused on detecting and taking down phishing sites, fake apps, and impersonations that target customers and account security in the United States. SoFi’s security team presented a webinar describing operational use cases and execution patterns for customer protection and account security. The webinar described protections across email, domain and app vectors, and implementation details indicate an architecture centered on continuous monitoring, AI-driven detection models, and automated takedown orchestration. Functional components inferred from the discussion include email protection, domain monitoring and app store monitoring, aligned with Phishing Protection workflows for detection, verification and takedown. Bolster AI is referenced as the platform driving these capabilities and as the source of automated response actions for customer-facing fraud. Operationally the deployment serves SoFi’s security and customer protection teams within the United States, with processes reorganized to route detected threats into automated response workflows and escalation into fraud operations. Governance changes emphasized by the webinar include centralized monitoring, takedown playbooks and incident response automation to reduce manual triage on phishing incidents. The engagement reduced phishing exposure and improved automated response for customer-facing fraud as described in the webinar.
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