Orange Business Adds Deepfake Detection to Enterprise Communications

A contact center agent at a multinational financial institution receives a call from someone claiming to be a regional director, requesting an urgent wire transfer. Voice biometrics returns a plausible match. The caller knows the director's name, reporting line, and recent travel schedule. The voice is synthetic, generated from publicly available audio, but nothing in the existing security stack flags it.

This is the operational reality facing enterprise communications teams. AI-generated voices and synthetic identities are being used to impersonate executives on calls, bypass authentication in contact centers, and manufacture fraudulent documents at scale. These attacks exploit the implicit trust organizations place in their own communication channels, the same channels that remain essential for resolving complex customer issues and conducting high-stakes internal conversations.

Orange Business, the global enterprise arm of one of the leading telecommunications operators, has selected Reality Defender as part of its partner ecosystem to enhance deepfake detection capabilities and address this emerging threat. The announcement comes alongside Orange Business's broader enterprise communications transformation, unveiled at the Orange Business Summit 2026.

What the Partnership Delivers

The partnership brings multimodal deepfake detection into Orange Business's collaboration, voice, and customer experience portfolio. Orange Business serves more than 7,000 enterprise customers and 100,000 customer locations worldwide in this domain. That reach means deepfake detection arrives not as a standalone tool organizations seek out and deploy on their own, but as a native capability inside the communication services they already rely on, from video conferencing to contact center platforms and voice telephony.

Reality Defender's API-first platform delivers detection through a single endpoint supporting audio, image, video, and document analysis. The architecture operates in real-time production environments without requiring a human in the loop. That makes it possible for a partner operating at Orange Business's scale to embed detection directly into existing workflows rather than asking thousands of enterprise customers to adopt an entirely new system.

Orange Business Is Setting the Standard on Trust

Orange Business is one of the first global communications providers to make deepfake detection a core part of its enterprise portfolio. The decision reflects a broader strategy to build trust into every layer of enterprise voice and collaboration.

Alongside deepfake detection, Orange Business is rolling out branded calling to authenticate caller identity, AI-augmented customer care through its Intelligent Together solution, and agentic telephony capabilities. Each investment reinforces the same principle: as enterprise communications become more intelligent, they must also become more verifiable.

Branded calling identifies the caller to the recipient. Deepfake detection answers a different question: Is the person on the other end real? Together, these capabilities give enterprise security and customer experience teams a communication stack that verifies authenticity at multiple layers.

Few global communications providers have taken this step. Orange Business has, and the scope of their commitment across branded calling, AI-augmented care, agentic telephony, and deepfake detection positions them at the forefront of a category shift.

"As we bring AI-powered capabilities to enterprise communications, from intelligent agents to agentic telephony, we recognize that trust has to be built into every layer. That's why we're integrating deepfake detection from partners like Reality Defender directly into our portfolio. Our customers deserve communications that are not only smarter, but verifiably authentic," said Usman Javaid, Chief Product and Marketing Officer at Orange Business.

Detection at Scale

For most enterprises, deploying deepfake detection involves evaluating vendors, running procurement processes, and integrating new tools alongside existing security stacks. That process takes months. When detection lives inside a communication integrator that already serves the organization, adoption becomes part of the infrastructure rather than a separate project.

Operating across 65 countries and serving more than 30,000 B-to-B customers, Orange Business has earned the trust of organizations worldwide. That footprint gives the partnership a distribution channel that reaches enterprises at a scale that no standalone deployment can match.

"When you're serving thousands of enterprises across dozens of countries, a single deepfake impersonation in a contact center or on a video call can cascade into real financial and reputational damage," said Ben Colman, CEO and Co-Founder of Reality Defender. "This partnership embeds detection where it belongs: inside the infrastructure organizations already depend on every day."

What This Means for the Category

No single company can build deepfake detection into every platform, network, and workflow where it's needed. Detection reaches the people it needs to protect when it's embedded into infrastructure that hundreds of millions of people already use to communicate, transact, and make decisions. Orange Business's decision to layer detection into its enterprise communications stack, alongside branded calling, AI-augmented care, and agentic telephony, sets the standard for how communications providers can lead on trust.