Banking & Financial Services (BFSI)
Prevent phone banking takeover, fraudulent wire approvals, and social engineering attacks targeting customer service.
CallScreener AI
CallScreener AI intercepts, screens, and verifies incoming voice calls in real time — eliminating robocalls, caller impersonation, and synthetic voice deepfakes. Powered by proprietary acoustic modelling and multimodal intelligence, it evaluates caller intent, emotional prosody, and voice authenticity before a single phone call reaches your team or infrastructure.
Product Walkthrough
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What it is
Real-time telephony interception & server-authoritative voice verification
Each incoming call is captured instantly over a low-latency live audio stream. The screening engine answers autonomously, engaging the caller in natural conversation to determine exact intent, verify identity credentials, and filter out malicious actors or automated dialers before human intervention.
Simultaneously, every audio segment is passed through two acoustic models: one isolating active speech, the other scoring it for synthetic voice in under a second. The system builds a continuous forensic timeline logging emotional shifts (prosody, distress, hostility) and deepfake risk scores across 10-second rolling intervals.
The recorded call stream and forensic metrics are evaluated on server-authoritative ML pipelines. Threat scoring, voice liveness, and fraud verdicts are locked off-device to guarantee zero client tampering or stream spoofing.
- Containerised & self-hosted audio engine keeping call data local
On-Premise
Containerised & self-hosted audio engine keeping call data local
- Off-device acoustic threat verdict, preventing tampering
Server-Side
Off-device acoustic threat verdict, preventing tampering
- Autonomous AI screening to live agent handoff with dual transcription
Dual-Phase Telephony
Autonomous AI screening to live agent handoff with dual transcription
- PII & audio streams encrypted at rest & PQC-ready for ML-KEM
AES-256-GCM
PII & audio streams encrypted at rest & PQC-ready for ML-KEM
High-level architecture
How CallScreener AI works, end to end
01
Intercept
Live 8kHz/16kHz audio stream from the call platform
02
Screening Bot
Autonomous intent gathering and speech isolation
03
Acoustic model
Sub-second voice deepfake and acoustic scoring
04
Forensic Timeline
10s interval emotion, prosody & risk logging
05
Decision & Handoff
Pass/Fail verdict, agent transfer & PDF audit
From incoming telephony connection to a server-authoritative forensic verdict.
Product exclusiveness
Seven flagship capabilities
Continuous voice liveness, not just static caller ID
Standard telephony security relies on phone numbers or static voiceprints. CallScreener AI analyzes the dynamic, organic characteristics of human speech throughout the conversation — capturing natural micro-pauses, prosody shifts, breath dynamics, and acoustic resonance that pre-recorded clips, soundboards, and voice changers fail to replicate.
Flagship capability
Randomized conversational challenge prompts
The AI screening bot dynamically generates context-aware, unpredictable prompt challenges during the call — asking the caller to repeat random passcodes, state specific verification reasons, or answer situational questions. Because prompts change every call, attackers cannot use pre-recorded audio snippets or scripted soundboards.
Anti-spoofing · dynamic questioning every call
Server-authoritative deepfake scoring
Audio streams are passed to a server-side deep neural network trained on thousands of synthetic voice models (ElevenLabs, VALL-E, Bark, RVC). Deepfake anomaly scoring occurs completely off-device, ensuring malicious actors cannot bypass or spoof risk scores on the local device or browser.
Off-device forensics · zero client tampering
Two screening journeys: Autonomous 24/7 & Live Agent Handoff
Operate in fully automated 24/7 AI screening mode for high-volume inbound queues, or seamless live agent handoff mode where human operators receive real-time risk alerts, dual transcripts (Screening Bot vs Live Operator), and live threat guidance.
Agentless 24/7 · human-in-the-loop telephony
Granular tone & emotion volatility tracking
Tracks emotional shifts across 10-second time slots — detecting sudden transitions between calm, distress, urgency, hesitation, and hostility. High emotional volatility often signals social engineering, fraud attempts, or coercion.
10-second interval logging · prosody analytics
Separated screening & live transcripts with PDF export
Automatically generates clear dual transcripts distinguishing AI-bot interactions from human operator conversations. Export tamper-proof forensic PDF reports containing complete audio metadata, spectrum charts, risk scores, and temporal logs for legal and regulatory compliance.
Compliance-ready · immutable incident reports
Conversational AI Assistant for security investigations
Security teams can converse directly with an embedded AI Security Analyst. Query call histories, compare voice risk scores across caller numbers, inspect forensic timelines, and extract deep incident summaries using natural language commands.
Multimodal powered · natural language investigation
Market comparison
How CallScreener AI compares to traditional telephony security
Measured against standard call center tools and basic caller ID solutions.
Proves live human voice presence
- Legacy Call Center IVR
- No — None (Touch-tone / Keypad)
- Standard Caller ID / Spam Filter
- No — Number lookup only
- CallScreener AI
- Yes — Continuous acoustic voice liveness
Detects synthetic voice & deepfakes
- Legacy Call Center IVR
- No — No
- Standard Caller ID / Spam Filter
- No — No
- CallScreener AI
- Yes — Server-side neural detection
Resists pre-recorded audio / soundboards
- Legacy Call Center IVR
- No — Vulnerable
- Standard Caller ID / Spam Filter
- No — Vulnerable
- CallScreener AI
- Yes — Dynamic random prompt challenges
Real-time emotion & prosody analytics
- Legacy Call Center IVR
- No — Post-call or none
- Standard Caller ID / Spam Filter
- No — None
- CallScreener AI
- Yes — 10s interval real-time tone tracking
Autonomous 24/7 AI screening
- Legacy Call Center IVR
- Partly — Basic IVR menus
- Standard Caller ID / Spam Filter
- No — None
- CallScreener AI
- Yes — Natural voice conversational AI bot
Live agent handoff with dual transcripts
- Legacy Call Center IVR
- No — Manual transfer
- Standard Caller ID / Spam Filter
- No — No
- CallScreener AI
- Yes — Automatic with separated bot/live transcripts
Conversational AI Forensic Assistant
- Legacy Call Center IVR
- No — No
- Standard Caller ID / Spam Filter
- No — No
- CallScreener AI
- Yes — Multimodal Security Analyst
On-premise / Containerized deployment
- Legacy Call Center IVR
- Partly — Varies by vendor
- Standard Caller ID / Spam Filter
- No — Cloud lookup only
- CallScreener AI
- Yes — Self-hosted container deployment
Immutable PDF audit reporting
- Legacy Call Center IVR
- No — Manual summary
- Standard Caller ID / Spam Filter
- No — None
- CallScreener AI
- Yes — Automated compliance-grade PDF export
The architecture
Hosted by you — complete data sovereignty
Your voice streams, call recordings, and PII remain entirely within your private cloud or on-premise infrastructure.
01
Data sovereignty
Post-processing, speech transcription, database storage and web endpoints all run inside your own container cluster.
02
Encryption standards
AES-256-GCM encryption for stored call recordings and customer metadata.
03
PQC-ready key management
Designed to support post-quantum hybrid ML-KEM key exchange formats.
04
Strict isolation
Deepfake neural evaluation APIs communicate over TLS 1.3 encrypted channels with zero data retention on external evaluation servers.
Sector use cases
Where CallScreener AI applies
Insurance & Claims Verification
Screen high-risk incoming claims calls for fake voice stress, impersonation, and pre-recorded incident descriptions.
Telecommunications & Mobile Carriers
Verify SIM swap requests, number porting calls, and high-security account modifications.
Enterprise Support & HR Helpdesk
Stop voice clone social engineering targeting employee credentials, payroll account changes, and internal helpdesks.
Government & Emergency Telephony
Filter malicious spoof calls, verify citizen identity during telephone service distribution, and secure public hotlines.
Regulated Onboarding & V-CIP
Fulfill strict RBI and regulatory Video/Voice KYC guidelines with integrated agent-led call verification.
Security, compliance & data architecture
Server-authoritative voice verification
The recorded call stream and forensic metrics are evaluated on server-authoritative ML pipelines. Threat scoring, voice liveness, and fraud verdicts are locked off-device to guarantee zero client tampering or stream spoofing.
- Data sovereignty
- Post-processing, speech transcription, database storage and web endpoints all run inside your own container cluster.
- Encryption standards
- AES-256-GCM encryption for stored call recordings and customer metadata.
- PQC-ready key management
- Designed to support post-quantum hybrid ML-KEM key exchange formats.
- Strict isolation
- Deepfake neural evaluation APIs communicate over TLS 1.3 encrypted channels with zero data retention on external evaluation servers.
Frequently asked questions
CallScreener AI, answered
CallScreener AI processes real-time 8kHz/16kHz audio streams through a fine-tuned acoustic neural network. It analyses frequency artifacts, phase inconsistencies and prosody anomalies unique to synthetic voice generators.
Yes. CallScreener AI integrates with cloud telephony providers, SIP trunks, open-source PBX platforms and major enterprise contact-centre systems over low-latency streaming protocols.
Audio analysis is performed continuously in rolling 10-second buffer intervals with real-time streaming inference. Initial VAD and acoustic scoring results are updated within milliseconds during live calls.
No. CallScreener AI can operate autonomously 24/7 to screen incoming calls, handle identity prompts, and block malicious calls automatically. Alternatively, high-risk calls can be transferred to live agents with real-time risk scores and dual transcripts.
All call data, audio recordings, databases and forensic logs are hosted locally within your own private cloud or containerised on-premise infrastructure.
The rest of the line
More in Voice Forensics
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See real-time voice screening and deepfake detection in action with our engineering team.