Deepfake detection for call centres and BPO operations
Stop deepfake voice fraud in contact centres. Raid AI checks every inbound call in real time, protecting your agents and customers from cloned voices and AI generated identity theft.
3 sec
Of audio is enough to clone a voice
3 sec
Of audio is enough to clone a voice
99.7%
Audio detection accuracy
<50ms
Per call audio latency
120+
Languages
Contact centres handle millions of identity verifications every day over the phone. Every one of those calls is now a potential deepfake attack: a voice cloned from a few seconds of public audio can pass a security question or a voiceprint. Raid AI gives agents and IVR systems a real time authenticity signal on the voice, so your team knows whether the person on the line is genuine or an AI fabrication.
4 attacks being run against call centres and bpo today
These are not projections. Each one has already been used against organisations in this position.
| Attack | Method | Modality | Who it lands on |
|---|---|---|---|
| 1Account takeover via cloned voice | Attackers harvest voice samples from social media, voicemail, or previous support calls and use them to pass voice biometric authentication and take over customer accounts. |
| Who it lands on: Customers, agents |
| 2Synthetic IVR Bypass | Automated attacks hit IVR systems with AI generated voices that answer security questions in the correct tone, defeating knowledge-based authentication at scale. |
| Who it lands on: IVR and voice biometrics |
| 3Agent social engineering | Attackers impersonate customers, vendors, or internal staff to trick call centre agents into resetting passwords, sharing account details, or processing fraudulent orders. |
| Who it lands on: Front line agents |
| 4Deepfake complaint fraud | Fraudsters use cloned customer voices to lodge fake complaints, reverse charges, or force refunds. Without detection, chargebacks accumulate and customer trust erodes. |
| Who it lands on: Complaints and refunds teams |
Where it has already happened
Reported cases, each written up with its sources.
How Raid AI answers it
IVR layer protection
Flag synthetic voices before they ever route to a human agent, reducing the attack surface and the workload on your fraud team.
Agent desktop integration
Surface real time authenticity verdicts directly in your agent's CRM or softphone so they can take the right action without changing workflows.
Post call forensics
Analyse recorded calls after the fact to identify deepfake attempts that were missed in real time, surface attacker patterns, and feed learnings back to fraud operations.
- Multilingual Detection
- Real time deepfake detection on every call, before the customer ever reaches a human agent
- Language agnostic detection that works across the 120+ languages supported by Raid AI, including specialized Arabic dialect coverage
- Agent facing UI that shows a live authenticity verdict and confidence score during the call
- Historical forensic analysis for dispute resolution, regulatory investigations, and fraud case building
What this looks like on a normal day
Composite situations drawn from the pattern of reported attacks, not accounts of named customers.
Illustrative scenario
High volume inbound call centre
A telco call centre handling 200,000 calls per day deploys Raid AI at the IVR layer. Within the first month, the system flags 1,800 deepfake authentication attempts that would otherwise have reached live agents.
Illustrative scenario
Offshore BPO fraud triage
A BPO operating in multiple languages uses Raid AI to triage suspicious calls before escalation. Arabic dialect coverage catches attacks that English only competitors miss, reducing fraud losses for their banking client.
Built for environments where security is not negotiable
From air gapped networks to strict data residency rules.
Retention you control
You choose how long media is kept. With zero retention, media is analysed and discarded once the verdict is returned and nothing is written to Raid AI storage. Otherwise media is kept for a window you set, 30 days by default, and then deleted. None of it is used to train a model, and enterprise tenants can keep their records inside their own database or infrastructure instead. Media goes only to the detection engines your tenant is configured to use, and only to produce the verdict.
Runs in your infrastructure
For air gapped and sovereign environments, the full detection stack runs inside your own network with no external connectivity.
TLS 1.3 encryption
All communication with the cloud API is encrypted using TLS 1.3. Media is protected from the moment it leaves your network.
Scoped API keys
Every integration is gated by a scoped key with configurable rate limits and IP allowlisting. Keys can be rotated at any time.
SOC 2 principles
Built around the five SOC 2 trust service criteria: security, availability, processing integrity, confidentiality and privacy.
Regional deployment
Cloud customers choose the region where their requests are processed. Media never leaves a specified jurisdiction.
Defence in depth
Infrastructure, application and model layers are each protected independently. A compromise at one layer does not expose customer data.
Audit logging
Every API call is written to a tamper evident audit trail, so you can reconstruct exactly what was processed, when, and by which key.
