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Safeguard Customers and Your Business

Cyber threats continue to rise, and the risk of voice fraud is a growing challenge for modern contact centers. A single line of defense, regardless of its strength, will eventually be breached by determined attackers.

Omilia delivers a multi-layered, real-time defense system that protects both customers and businesses. TalkGuard™ for deepfake and fraud detection  provides a comprehensive defense to keep fraud out while ensuring a frictionless customer experience.

Protect Against Deepfakes

Fraudsters are adopting AI-generated voices, spoofed numbers, and replay attacks. TalkGuard delivers an all-in-one AI security layer that identifies and blocks synthetic callers in real time, before they can exploit agents or customers. 


  • ANI Spoofing Risk Analysis

    Before the voice is even analyzed, the call's origin is scrutinized. This initial layer analyzes call metadata to detect network-level deception - spoofed, virtualized, or suspicious numbers. It identifies and flags suspicious routing patterns and unmasks spoofed Caller IDs, preventing many fraudulent calls from ever connecting.

  • Liveness Detection

    Prevent cases where fraudsters try to attack an account using a synthetic or recorded voice. Every caller’s voice is thoroughly examined to confirm authenticity, using robust detection algorithms that can detect synthetic voices with extreme accuracy. A confidence score is generated every two seconds, continuously refining its assessment.

  • Known Fraudster Identification

    Our system clusters fraudulent identity-free voiceprints into a dynamic blocklist. Calls from repeat offenders are immediately flagged or blocked from reaching an agent.

Detect Suspicious Speech Patterns

Fraudsters often reveal themselves not by their identity, but by their words and behaviors. TalkGuard doesn’t just analyze who is calling, it analyzes how people communicate. By scrutinizing language, logic, and behavior in real time, it detects coached, deceptive, or manipulated conversations that slip past traditional authentication layers.


  • Coherence and Logic Analysis

    This layer scrutinises the conversation itself for suspicious language, identifying unexpected words, phrases, or patterns that could indicate deception or malicious intent. Logic Flow Auditing checks for contradictions, illogical statements, or conversation topics that fall outside expected domains. Topic Extraction detects abrupt or unnatural shifts in topic, tone or response patterns that could indicate fraud.

  • Behavioral Analysis

    Conversation pattern mapping identifies common communication patterns and scripts used by fraudulent callers. It analyzes how a person is speaking, detecting subtle, unnatural behaviors that signal a coached or coordinated attack, and flags suspicious interactions for action.

Why Omilia Self-Learning Agentic CX

Data Security and Compliance at the Core
Protect customer data with robust encryption and compliance to meet stringent regulatory standards, including certifications against ISO27001, PCI-DSS, HIPAA, GDPR and SOC2 Type II.
Advanced Reasoning and Understanding models
Powered by state-of-the-art models, our Service Agents understand customer queries with unparalleled accuracy and fulfill tasks with an experience that feels human.
Zero-Day Deployment
Deploy in zero days and let your Agent evolve and adapt with every contact centre interaction. Zero coding expertise needed.
Out-of-the-Box Integrations
With the click of a button, easily integrate with your CCaaS platform and backend systems for a unified customer experience.

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Gartner Peer Insights

See Omilia's Multi-layered Call Center Security Solutions in Action