{"id":105401,"date":"2025-10-02T09:49:57","date_gmt":"2025-10-02T09:49:57","guid":{"rendered":"https:\/\/ainalalam.com\/?p=105401"},"modified":"2025-10-02T09:49:57","modified_gmt":"2025-10-02T09:49:57","slug":"fuze-enhances-compliance-through-new-exaforce-ai-partnership-menas-regulated-financial-infrastructure-provider-strengthening-security-and-compliance","status":"publish","type":"post","link":"https:\/\/ainalalam.com\/?p=105401","title":{"rendered":"Fuze Enhances Compliance Through New Exaforce AI Partnership MENA\u2019s regulated financial infrastructure provider strengthening security and compliance"},"content":{"rendered":"[mhc_section admin_label=”\u0642\u0633\u0645” fullwidth=”on” specialty=”off”][mhc_fullwidth_menu admin_label=”\u0642\u0627\u0626\u0645\u0629 \u0628\u0639\u0631\u0636 \u0643\u0627\u0645\u0644” menu_id=”56″ background_color=”#ffffff” background_layout=”light” text_orientation=”center” submenu_direction=”downwards” fullwidth_menu=”off”] 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Ain Alalam – Rashad Iskandrni<\/p>\n

 <\/p>\n

2<\/strong> October, 2025: <\/strong>Fuze, one of the Middle East and Turkey\u2019s fastest-growing financial infrastructure providers, has partnered with Exaforce<\/a> to achieve regulatory compliance through AI-driven security operations. It reinforces Fuze\u2019s commitment and continuous investment in the most robust measures to safeguard its customers.<\/p>\n

Exaforce was founded by tech leaders who have pioneered AI and cybersecurity at companies such as Google, F5 and Palo Alto Networks. In April 2025, Exaforce was backed with a $75 million Series A funding round anchored by leading investors Mayfield, Khosla Ventures, and Thomvest Ventures, to reimagine the future of security and operations with AI.<\/p>\n

\"\" \"\"<\/p>\n

Fuze co-founder and CTO, Srijan R Shetty, said: <\/em><\/strong>\u201cSecurity and compliance are the backbone of financial infrastructure. By embedding Exaforce into Fuze\u2019s stablecoin platform, we\u2019re exceeding regulatory expectations and setting a new standard for how AI can safeguard digital asset ecosystems. This partnership ensures that our customers, partners, and regulators can trust Fuze to deliver innovation, resilience and security at scale.\u201d<\/em><\/p>\n

Marco Rodrigues, co-founder and Head of Customer Engineering at Exaforce, added:<\/em><\/strong> \u201cFuze is pioneering the future of regulated digital assets in MENA, and we\u2019re proud to power their security and compliance journey. With our multi-model AI for security operations, Fuze gains continuous visibility, faster investigations, and proactive defense against both external and insider threats. Together, we\u2019re proving that AI-led compliance can transform risk management in financial markets.\u201d<\/em><\/p>\n

Fuze is deploying Exaforce\u2019s AI-driven Managed Detection & Response (MDR) service to strengthen its stablecoin infrastructure and set a new benchmark for secure, compliant digital asset rails.<\/p>\n

By embedding Exaforce AI at the core of its compliance framework, Fuze can now detect and resolve issues automatically, cut investigation times by up to 94%, and significantly reduce engineering hours spent on manual adjustments. The result is lower operational and regulatory risk, while enabling a safer, more transparent, and globally scalable digital asset ecosystem across the MENA region.<\/p>\n

The new technology ensures enterprise-grade compliance for banks, fintechs and partners, with advanced visibility across wallets, APIs, GitHub, cloud and code repositories. Built on a Zero Trust security framework and enhanced with LLM-driven intelligence, it continuously validates every interaction and identifies anomalies in real time. With 24\/7 monitoring, automatic threat detection, and proactive risk mitigation, Fuze is reinforcing trust among regulators, liquidity providers and financial institutions while ensuring resilience across the entire digital ecosystem.<\/p>\n

For more information, visit fuze.ae<\/a>.<\/p>\n[\/mhc_text][\/mhc_column][\/mhc_row][\/mhc_section]\n","protected":false},"excerpt":{"rendered":"

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