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SecurityMetrics Contributes to GEAR, Shares AI Solutions at the PCI SSC NA 2026 Community Meeting

SecurityMetrics contributes to GEAR and shares AI solutions at PCI SSC NA Community Meeting.

SecurityMetrics Contributes to GEAR, Shares AI Solutions at the PCI SSC NA 2026 Community Meeting

OREM, Utah, Sept. 14, 2026 -- SecurityMetrics has been a member of PCI SSC’s GEAR (The Global Executive Assessor Roundtable) for the past eight years. Their participation aims to enhance cybersecurity for businesses and improve the PCI compliance process, benefiting both organizations and customers. At the upcoming PCI SSC North America and Europe 2026 Community Meetings, SecurityMetrics will continue contributing to GEAR and presenting their AI solutions, such as the Spectre AI solution, which extend beyond PCI compliance to ensure e-commerce safety.

CEO Brad Caldwell expressed excitement about sharing these advancements and strengthening the connection with the PCI Council, while also providing feedback from the perspective of QSA companies. SecurityMetrics will also hold a tech talk titled ‘6.4.3 and 11.6.1 Monitoring Lessons Learned’ on Wednesday, Sept. 16, at 9:35 a.m. in the Ballroom Foyer.

Attendees can visit Booth #33 to explore their AI threat solutions, learn about PCI compliance, and converse with Jeremy King, former Regional VP, EMEA of the PCI SSC. For assistance with PCI compliance, contact SecurityMetrics' experts at https://www.securitymetrics.com/pci. SecurityMetrics, a privately held company headquartered in Orem, Utah, offers a range of data security services, including penetration testing, vulnerability scanning, gap analysis, security consulting, and managed services, to help businesses secure sensitive data.

They are a PCI certified ASV, QSA, CFI, CMMC Certified RPO, and Managed Security provider with extensive experience in data security. For press inquiries, email pr@securitymetrics.com. Follow SecurityMetrics on LinkedIn, X, FB, Instagram, and YouTube.

Written by urgent.news from HackerNoon's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.

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