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Feroot

Achieving PCI DSS 4.0.1 Compliance for Companies (SAQ A-EP): A Comprehensive Guide for Feroot PCI PaymentGuard AI

Payment security for SAQ A-EP merchants has never been more critical. As e-commerce continues to evolve, merchants who control elements of their payment pages face increasing security challenges and compliance requirements.

PCI DSS 4: Compliance Guide for SAQ A-EP Merchants to comply with Requirements 6.4.3 and 11.6.1

As an SAQ A-EP merchant, you face unique compliance challenges because you control elements of your payment page, even though you don’t directly process card data. This makes you a prime target for attacks like Magecart, which specifically target payment page scripts.

PCI DSS 4.0.1 Compliance at Scale: A Practical Guide for Payment Processors SAQ D

Guide for Payment Processors SAQ D begins with a major challenge in today’s digital payment landscape. Payment processors must secure payment pages across thousands of merchant websites, far beyond managing a single payment system. Let’s put this in perspective: Real-world example: A payment processor with 10,000 merchants needs to monitor approximately 30,000 payment pages daily. That’s 30,000 potential points of vulnerability requiring constant surveillance.

Yahoo Finance: U.S. Lawmakers Push to Ban China's DeepSeek AI Over Security Risks - Feroot Security Analysis

Washington, D.C. – U.S. lawmakers announced a bill to ban DeepSeek, the Chinese AI chatbot app, from government devices following a security analysis by Feroot Security that revealed alarming privacy and national security risks. The research suggests that DeepSeek collects user data, including digital fingerprints, login credentials, and behavioral information, potentially sending it to servers tied to the Chinese government.

PCI DSS 4.0.1 Compliance for Payment Providers (SAQ D) - How to Ensure Compliance Across Thousands of Payment Pages

Compliance for Payment Providers SAQ D presents unique challenges due to their distributed business model. With payment pages, iframes, and forms embedded across thousands of merchant websites, ensuring consistent security and maintaining PCI DSS 4.0.1 compliance requires sophisticated solutions and strategies.

Feroot Security Research Reveals DeepSeek AI's Hidden Data Pipeline to China

ABC Good Morning America featured an exclusive report this morning highlighting Feroot’s discovery of concerning code within DeepSeek’s AI platform. Feroot, a leading cybersecurity firm, uncovered hidden capabilities enabling direct data transmission from DeepSeek to China Mobile servers.

AP News - Feroot Research Uncovers DeepSeek's Connection to Chinese State-Owned Telecom

Researchers at Feroot Security have identified computer code within the web-based version of DeepSeek’s AI chatbot that could potentially send user login information to China Mobile, a Chinese state-owned telecommunications company. This discovery raises significant privacy and national security concerns, particularly as China Mobile has been barred from operating in the United States due to its alleged ties with the Chinese government and military.

CNBC: Feroot Security CEO, Ivan Tsarynny, Talks about DeepSeek's Hidden Data Harvesting Risks

AI training data has become a major concern as DeepSeek reached the top spot on the App Store, sparking debates about data privacy and national security. In a timely CNBC interview amid the DeepSeek controversy, Feroot Security CEO Ivan Tsarynny highlighted the critical intersection of data collection, AI development, and security risks. He emphasized how the data collected through apps plays a crucial role in AI advancements, raising further concerns about digital privacy.