Detect and stop AI-generated fraud in real time
Momenta protects enterprise communications from deepfake voice, video impersonation, and AI-driven social engineering.
89% fraud
Voice
AI-generated
Video
Deepfake
Identity
Based on a real person
Built by engineers and operators from
Where Momenta Fits
Momenta is built for organizations that rely on voice calls, video meetings, identity checks, callback workflows, and other communication moments where a convincing impersonation can trigger financial loss, unauthorized access, or reputational damage. As synthetic media becomes easier to generate, teams need a way to evaluate trust in real time instead of depending on instinct or one-off manual checks.
That is why the platform combines detection, simulation, and adversarial testing. Security and fraud teams can identify where their highest-risk workflows are exposed, measure whether existing controls actually hold under pressure, and deploy verification steps that fit operational reality across customer support, executive communications, finance approvals, and identity-sensitive interactions.
Voice cloning, deepfake video, and synthetic identities now allow attackers to impersonate executives, customers, and vendors in real time. AI-driven fraud is projected to exceed $40B in losses by 2027.
Traditional security systems were never designed to verify whether a voice or video interaction is real.
Momenta provides a unified platform that allows organizations to simulate, detect, and stop AI-generated fraud across voice, video, and enterprise communications.
01
Trains organizations to defend against AI-driven social engineering.
Run realistic simulations, including executive impersonation calls, vendor payment fraud attempts, deepfake video meetings, or voice phishing attacks.
Identify high-risk teams, measure exposure, and strengthen employee resilience.
02
Detects synthetic voices during live interactions.
Deploy detection across carrier telephony networks, enterprise call centers, video conferencing platforms, and internal communication systems.
Risk scores and alerts are generated in milliseconds.
03
Turns detection signals into real security actions.
Momenta integrates directly into enterprise workflows to trigger step-up authentication, transaction verification, call routing changes, and compliance logging and reporting.
This allows organizations to operationalize protection against AI-generated fraud.
Prevent fraud attempts targeting payments, internal approvals, and customer interactions.
Prevent fraud attempts targeting payments, internal approvals, and customer interactions.
Deploy deepfake detection inside carrier networks to protect enterprise customers.
Detect synthetic voices during customer calls.
Verify that users are real humans — not AI impersonations.
Why Momenta
Most vendors focus only on detection. Momenta enables organizations to:
all within a single platform.
Momenta is designed for telephony, call center, and enterprise workflow environments where latency, scale, and operational reliability matter most.
Momenta's detection models are engineered for enterprise-scale efficiency:
95%+
accuracy compared to alternatives
9x smaller
model footprint than leading alternatives
60ms
inference latency
~3.3x cheaper
than the closest per-call pricing benchmark
Delivering next-generation AI fraud protection while safeguarding customer data and user interactions.
FAQ
Momenta is an enterprise deepfake security company. We build software that detects, simulates, and stress-tests defenses against AI-powered impersonation attacks — the use of synthetic voice, video, and identity to deceive people inside enterprise environments. Our products are designed for organizations where a successful impersonation attack could authorize a fraudulent payment, bypass identity verification, or compromise a high-stakes communication. Customers include banks, telecom providers, contact centers, and enterprise security teams.
Deepfake fraud is the use of AI-generated or AI-manipulated voice, video, or identity to impersonate a real person — an executive, a vendor, a customer — in order to deceive a target into taking a high-value action. What changed recently is the cost and accessibility of the underlying technology: voice cloning now requires seconds of source audio and runs in real time; video deepfakes are no longer detectable by the human eye in live calls. This means any organization that authorizes wire transfers verbally, verifies customers by voice, or relies on video for identity confirmation is now exposed. It is among the fastest-growing enterprise fraud vectors, and most organizations have no controls specifically designed to detect it.
Most fraud detection systems are built around behavioral signals, transaction patterns, and historical data — they operate downstream of human trust decisions. If an agent already believes the voice on the phone is genuine and has authorized an account change, behavioral fraud analytics sees a normal authorized transaction. Momenta operates upstream: we analyze the voice or video itself, at the moment of communication, before a human decision is made. Identity verification vendors similarly validate that a caller matches a voiceprint or a face matches an ID photo — they are not designed to detect AI-synthesized media, and current-generation voice clones can defeat enrolled voiceprint matching. Momenta's detection is calibrated specifically for synthesis artifacts, not identity matching.
Momenta's primary markets are financial services (banks, payment processors, insurance), telecommunications, and large enterprises with high-value executive communications or payment authorization workflows. Within those organizations, the typical buyers are fraud directors, CISOs, and contact center operations leadership. The common thread is reliance on voice or video channels to make security-sensitive decisions — account changes, payment authorizations, identity verification — where a successful AI impersonation attack has direct financial or operational consequences.
Momenta integrates with existing communication infrastructure via API — telephony platforms, contact center stacks, and video conferencing systems. There is no rip-and-replace of existing systems. The standard deployment model puts Momenta's detection inline, analyzing streams in real time as interactions happen. Deployment timelines depend on the customer's stack and the channels being covered; API-based detection on existing telephony can go live in days. For regulated environments that require data to stay on-premises, an on-premises deployment option is available.
Protect your organization before the next impersonation attack.