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Transmit Security Recognized as a Leader in the 2025 Gartner® Magic Quadrant™ for Access Management

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Transmit Security, the innovator in identity first security, authentication, orchestration and fraud prevention, announced it has been recognized as a Leader in the 2025 Gartner® Magic Quadrant™ for Access Management (AM).

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“We feel it is remarkable that, Transmit Security on its very first participation in this year’s Magic Quadrant, was immediately recognized as a Leader,” commented Mickey Boodaei, Co-Founder and CEO of Transmit Security

Transmit Security was among five vendors recognized as a leader based on our completeness of vision and ability to execute. “We feel it is remarkable that, Transmit Security on its very first participation in this year’s Magic Quadrant, was immediately recognized as a Leader,” commented Mickey Boodaei, Co-Founder and CEO of Transmit Security.

Transmit Security: Setting the Bar for Innovation

Mosaic by Transmit Security is a SaaS-native, modular solution that unifies Customer Identity, Access Management (CIAM), Fraud Prevention, and Identity Verification (IDV) within a single, AI-powered architecture. Built on Predictive AI, Mosaic enables large enterprises and regulated industries across financial services, insurance, retail, and technology to deliver secure, frictionless, and high-assurance digital identity experiences at scale.

Why We Believe Transmit Security Was Recognized

Access for the Modern Enterprise

Transmit Security’s Mosaic platform is known for its unified approach to access management – bringing together authentication, orchestration, and identity threat detection in one resilient, AI-driven architecture. Built for large, regulated enterprises, Mosaic enables organizations to strengthen security, streamline operations, and deliver exceptional user experiences without compromise.

Frictionless Security, Seamless Experience

By eliminating friction and complexity, Mosaic allows enterprises to scale trust and deliver experiences that inspire confidence.

Leading the AI-Driven Future of Access

As AI reshapes both security and fraud, Transmit Security is pioneering Predictive AI to stay ahead of evolving threats—from deepfakes and synthetic identities to agentic AI-driven attacks. With real-time behavioral intelligence, continuous risk evaluation, and adaptive orchestration, Mosaic empowers enterprises to defend proactively while maintaining speed, simplicity, and innovation at scale.

Blazing a Trail

“We feel, being recognized as a Leader in the 2025 Gartner Magic Quadrant is more than a recognition, it’s validation that identity and access management must evolve,” said David Mahdi, CIO at Transmit Security, and former VP Gartner analyst. “The future of access is unified, identity-first security that is AI-driven, and predictive. We are honored to be recognized as a leader, cementing our vision in delivering that future now. Our platform, Mosaic, fuses identity verification, authentication, fraud prevention, into one resilient platform so enterprises can move fast, stay secure, and build digital trust with confidence.”

Rakesh Loonkar, Co-Founder and President of Transmit Security, added, “When we founded Transmit Security, our vision was to bring identity, fraud prevention, and authentication together as one, to eliminate silos, reduce risk, and empower innovation. We believe this recognition from Gartner affirms our belief that our approach is resonating with the world’s largest and most security-conscious enterprises. Mosaic is setting a new standard for how modern identity and access should work.”

“Access Management is entering a new chapter. The rise of AI, fraud, and agentic automation demands more than incremental updates to legacy identity systems. We built Mosaic to replace complexity with intelligence – a unified, AI-first identity security platform designed to secure every digital interaction while keeping customer experiences effortless,” said Mickey Boodaei.

Catch more CIO Insights: The CIO’s Role In Data Democracy: Empowering Teams Without Losing Control

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