{"id":655,"date":"2026-06-19T21:03:46","date_gmt":"2026-06-19T21:03:46","guid":{"rendered":"https:\/\/3rdcomply.com\/blog\/?p=655"},"modified":"2026-08-18T07:03:21","modified_gmt":"2026-08-18T07:03:21","slug":"3rdcomply-gitex-ai-europe-2026-berlin","status":"publish","type":"post","link":"https:\/\/3rdcomply.com\/blog\/2026\/06\/19\/3rdcomply-gitex-ai-europe-2026-berlin\/","title":{"rendered":"3rdComply to Showcase AI-Powered Vendor Risk Automation at GITEX AI Europe 2026"},"content":{"rendered":"\n

3rdComply joins the Netherlands Pavilion in Berlin to demonstrate how enterprises can assess and monitor 100% of their vendors without sending a single security questionnaire<\/em>.<\/p>\n\n\n\n

\n\n\n\n

BERLIN, Germany \u2014 June 2026<\/strong> | 3rdComply, an AI-powered third-party risk management (TPRM) platform, today announced its participation in GITEX AI Europe 2026, taking place June 30 \u2013 July 1 in Berlin. 3rdComply will exhibit at the Netherlands Pavilion, where it will showcase its automated approach to vendor risk assessment and continuous monitoring.<\/p>\n\n\n\n

The Problem: Most Vendors Go Unchecked<\/h1>\n\n\n\n

For most enterprises, managing third-party risk still means slow, manual processes: sending security questionnaires, waiting weeks for vendor responses, and manually cross-checking documents against compliance frameworks. As a result, security and compliance teams typically have the bandwidth to closely assess only a small fraction of their vendor base, leaving the majority unmonitored and exposing organizations to hidden risk.<\/p>\n\n\n\n

The Solution: Assessment and Monitoring, Automated<\/h2>\n\n\n\n

3rdComply removes the traditional questionnaire-and-document-chase cycle entirely. Using AI, the platform automatically analyzes vendor documents, gathers public information, scans for risk indicators, and continuously monitors vendors over time, enabling enterprises to assess their entire vendor portfolio, not just a sample of it.<\/p>\n\n\n\n

Key capabilities include:<\/p>\n\n\n\n