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CAPABLE OF DETECTING DEEPFAKES FROM AS LITTLE AS
2 SECONDS OF AUDIO
Voice has become the fastest-growing attack surface for fraud. From AI-generated
deepfake voices to spoofed caller IDs and impersonation attempts, contact centers
are increasingly targeted as enterprises scale automation, IVR self-service, and
conversational AI.
Traditional security measures, knowledge-based questions, static rules, and one-time
passwords were not designed for synthetic speech attacks and are easily bypassed.
Biomarkers are becoming obsolete. The result: higher fraud losses, longer call handling
times, and a degraded customer experience.
Behavioral Signals enables contact centers to detect and stop deepfake-driven fraud
in real time, without adding friction for legitimate callers.
WHY OUR DEEPFAKE
DETECTION IS UNIQUE
BEHAVIORAL & EMOTIONAL INTELLIGENCE AT THE CORE
Unlike conventional approaches that
focusprimarily on signal-level artifacts,
our deepfake detection models leverage emotional and behavioral attributes
of human speech.
ACCURATE & ROBUST
95% internal benchmark performance
on challenging datasets, outperforming
competing solutions (typically 85–92%)
Robust across more than 15 languages,
diverse accents, and noise conditions
ULTRA-FAST, REAL-TIME READY
More than 20× real-time performance on
standard GPU deployments: <500 ms
response time for a 3-second utterance
In streaming scenarios, deepfake presence
is detected within 3 seconds of occurrence
Capable of detecting deepfakes from as little
as 2 seconds of audio
HOW IT WORKS
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Behavioral Signals’ AI-native voice intelligence platform
analyzes calls before they reach an agent.
By ingesting call metadata directly from the IVR, such as
phone number, signaling attributes, and call routing data, the
platform generates a real-time risk score that identifies deepfake speech, spoofed calls, and suspicious behavioral patterns early
in the call journey.
This pre-call and in-call intelligence allows contact centers to
take action before fraud occurs, not after.
KEY CAPABILITIES FOR CONTACT CENTERS
> VOICE DEEPFAKE DETECTION
IDENTIFY AI-GENERATED AND MANIPULATED SPEECH IN REAL TIME.
> SPOOFED CALL & ANI VALIDATION
DETECT CALLER ID SPOOFING AND TELECOM-LEVEL ANOMALIES.
> BEHAVIORAL BIOMETRICS & RISK SCORING
ANALYZE VOCAL AND BEHAVIORAL PATTERNS TO ASSESS INTENT AND RISK.
> IVR & AGENT-ASSISTED FRAUD PREVENTION
APPLY INTELLIGENCE ACROSS SELF-SERVICE AND LIVE-AGENT INTERACTIONS.
> PRE-CALL & REAL-TIME RISK ASSESSMENT
FLAG HIGH-RISK CALLS BEFORE AGENTS ENGAGE.
> CONTINUOUSLY ADAPTIVE AI MODELS
MACHINE LEARNING MODELS EVOLVE AS FRAUD TACTICS CHANGE.
SEAMLESS INTEGRATION FOR CONTACT CENTERS
Behavioral Signals delivers lightweight, enterprise-grade API that integrates directly with contact
center infrastructure, including:
â—‹ IVR PLATFORMS
â—‹ CCaaS & TELEPHONY SYSTEMS
â—‹ CRM & FRAUD MANAGEMENT TOOLS
â—‹ CONVERSATIONAL AI & VOICE BOTS
This ensures contact centers can deploy deepfake speech detection in real time, secure both self-service and
agent-assisted interactions, and prevent fraud without disrupting operations or customer experience.
CONTACT CENTER OUTCOMES
– Reduced fraud losses and account takeover risk
– Faster and more secure customer authentication
– Improved IVR containment and self-service rates
– Lower operational costs and handling times
– Stronger customer trust and brand protection
API Integrations
Available via cloud-based API for rapid
integration and scalability
On-Premise
On-premise deployment supported for sensitive
or regulated environments
Private Cloud
Supports both real-time (streaming) and
offline (batch) processing pipelines
FLEXIBLE DEPLOYMENT & INTEGRATION
