Finance

Deepfake fraud detection for banks and financial institutions

Wire transfer fraud, executive impersonation, fake KYC submissions. These aren't edge cases anymore. We detect synthetic voice and deepfake video on live calls and meetings before anything is authorized. No audio stored. Feeds directly into whatever compliance workflow you're already running.

Trusted by
Data Security

Enterprise-grade. Out of the box.

Built for environments where security is non-negotiable — from air-gapped infrastructure to international data regulations.
SOC 2 Type II
Independently audited security controls covering availability, confidentiality, and data integrity.
In-progress
GDPR
Fully compliant with EU data protection regulations. No personal data processed without lawful basis.
Compliant
HIPAA
Supports healthcare and public health agency deployments with full HIPAA-aligned data handling.
Compliant
ISO 27001
Internationally recognised standard for information security management systems.
In-progress
Air-gapped deployment
Fully containerized on-premises install. No external connections. No data leaves your environment ever.
Available
Deploy in 24 hours
Guided installation wizard gets you from contract to live detection in under a day — not months.
On-prem & cloud
Zero retention mode
Submitted media is permanently deleted after detection completes — no retention, no re-analysis. Meets the strictest data sovereignty requirements.
Available
API-first architecture
Single REST API covering all modalities. Integrates with existing SIEM, SOAR, and identity platforms.
Production-ready
FINANCE ATTACK VECTORS

Six active fraud vectors targeting financial institutions across voice, video, and document channels.

Each one exploits a different point in the authorization chain. Resemble AI covers all six across live calls, meetings, and recorded media, with audit-ready forensic reports on every detection event.
ATTACK TYPE
METHOD
MODALITY
VICTIM
1
Wire transfer voice fraud
Synthetic voice impersonates a CFO or executive on a live call to authorize a fraudulent transfer.
Finance / Wire ops teams
2
Contact center vishing
AI-generated voice impersonates a customer to extract account credentials or authorize account changes.
Contact center agents
3
Synthetic identity fraud
AI-generated identity documents or voice used to pass KYC checks during account opening.
  
Onboarding/ Compliance teams
4
Executive meeting impersonation
Deepfake video or voice of a board member or senior leader used in a live video call to extract decisions or credentials.
  
C-suite/ Legal
5
AI agent spoofing
Unauthorized AI agents call into contact centers posing as legitimate customers or automated systems.
Fraud teams
6
Document and claims fraud
AI-manipulated images used to support fraudulent insurance claims, loan applications, or expense submissions.
Claims / Underwriting teams
Modalites:   Audio =     Video =      Image = 
GENERATIVE AI PROTECTION IN ACTION

How it works across calls, meetings, and recorded media

Results return in under 300ms; agent alerted before call ends
Audio analyzed in memory and discarded immedately after
Enroll executive voices — impersonation attempts flagged by name
Audit-ready forensic reports on every detection event
On-premises or air-gapped deploy in 24 hours
Wire transfer authorization
C-suite and finance team meetings
Silent detection bot joins before transfer is approved
Security team alerted before authorization is completed
Contact center operations
Inbound calls via Genesys, Avaya, and AWS Connect
Detection runs without storing audio or transcript
Agent alerted in real time with fraud category and score
KYC & account onboarding
Account opening and KYC verification workflows
Detection covers fully synthetic and partially edited files
Compliance team alerted before account is opened
Post-incident investigation
Suspicious audio, video, or image files
Manipulation type, model attribution, confidence score returned
Audit-ready report for compliance, legal, or law enforcement
AI agent authentication
Legitimate AI agents watermarked at generation
Unmarked synthetic voices flagged automatically
Only authorized calls routed through
Staff security training
Simulated vishing calls run across departments via Resemble SAT
Risk scores by team and individual
No downtime for frontline staff

I know that if you have 15 minutes of public communication recorded, you can easily create a deepfake. But until today I didn't see any practical solution to identify it or protect against it.

IT Security Lead, Global Finance Conglomerate
96.7%
Detection accuracy across audio, video,
and images with Resemble AI
RESPONSIBLE AI DEVELOPMENT

The only generative AI company whose protection tools came first.

As pioneers of synthetic media, we built the detection tools required to secure it. Our technical depth makes us a trusted policy advisor globally — from testifying before the U.S. Senate to signing Canada's Voluntary Code of Conduct on Responsible AI.

Every product starts from the same question: what happens when this gets misused?

RESEMBLE AI ETHICS COMMITMENT

Zohaib Ahmed, CEO — U.S. Senate testimony on deepfakes & election integrity

INTEGRATIONS

Works with your existing stack

All integrations
Frequently asked questions
How do banks detect AI voice fraud in wire transfer calls?
A detection bot joins the call as a participant and analyzes the audio stream in real time. When synthetic voice is identified, the security team receives an alert with a confidence score before any transfer is authorized. Detection runs in memory with no audio stored and no transcript generated, keeping the call compliant with internal data governance policies.
How is Resemble AI available for government procurement?
Synthetic identity fraud occurs when an attacker uses AI-generated voice, images, or documents to impersonate a real person or fabricate a fictitious identity during account onboarding or KYC verification. Detection identifies the artifacts that generative AI models leave in audio and image files, flagging synthetic submissions before an account is opened. For detailed KYC workflow integration, see our KYC use case page.
How does deepfake detection help banks meet DORA requirements?
DORA requires financial institutions to maintain operational resilience against ICT threats, including synthetic media fraud. Resemble AI provides audit-ready forensic reports for every detection event, on-premise deployment for institutions where data must stay on internal infrastructure, and SIEM integration to feed detection alerts into existing compliance workflows. The same detection and reporting infrastructure covers EU AI Act financial services obligations and BSA/AML synthetic identity requirements.
What AI fraud detection tools work with banking compliance workflows?
Resemble AI integrates with Genesys, Avaya, Splunk, and AWS Connect via webhooks and API with no custom middleware required. Detection alerts route to any SIEM or case management system. On-premise deployment via Kubernetes is available for institutions with strict data sovereignty requirements.
Does detection work across languages for global banking operations?
Yes. Detection is language-agnostic because the model analyzes the audio signal for generative AI artifacts rather than the content of what is being said. Validated across 51 languages. No per-language configuration is required.
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