Voice
Acoustic, behavioural and telephony signals scored within the first 2–3 seconds of the greeting.
Live chat
Frontend fingerprinting and response-pattern analysis that spots scripted or automated typing.
MTA header, server origin and linguistic-marker analysis on every inbound message.
Prove who handled every interaction.
As conversational AI agents join human workforces, telling the two apart is now an operational, security and financial necessity.
Client Compliance and SLA Auditing
Enterprise clients require human agents for high-stakes work such as healthcare, financial services and sensitive collections. Immutable audit trails prove human handling and help you avoid severe compliance penalties.
Billing and Margin Verification
Tiered pricing separates automated AI resolution from dedicated human seat time. SentraKaya.AI verifies the interaction type behind each charge for accurate financial reporting and margin control.
Internal QA and Escalation Monitoring
Track mid-interaction escalations, bot failures and copilot usage for one quality view across human and automated agent pools.
Protection that stays out of your customer’s way.
Proactive Fraud Shield
Keep pace with evolving deepfake voice manipulation and automated text scripts before a breach happens, on every channel.
Omnichannel Security
Verify the authenticity of audio and text streams at every contact-centre touchpoint in real time, without relying on external auth methods.
Financial Protection
Limit the impact of fraudulent AI activity on your bottom line, your brand reputation and your regulatory standing.
High Funnel Conversion
Genuineness is evaluated natively, with no customer registration or biometric enrolment, so genuine customers move at full speed.
Rapid, Frictionless Deployment
Drops into existing contact-centre workflows wherever audio or text can be captured. No database overhaul, no extra infrastructure.
Higher Customer Satisfaction
Interactions are protected transparently, without collecting personal biometric data, in line with GDPR and POPIA.
Three voice layers. Two text channels. One verdict.
No single signal decides. Acoustic, behavioural and network evidence are combined into one score you can act on.
Acoustic Artifact Analysis
- Spectral Fingerprinting. Standard TTS engines lack the microscopic frequency variations of human vocal cords.
- Phase Coherence and Noise Injection. Flags synthetic background-noise loops and static phase alignment that point to pre-rendered audio instead of a physical room.
- Codec Detection. Spots the high-frequency truncation left when cloud AI engines compress audio before pushing it onto 8 kHz PSTN networks.
Conversational and Behavioural Signals
- Interruption Latency. Humans stop talking almost instantly. AI agents wait on their speech-to-text and LLM loops first (see below).
- Micro-breaths and Pacing. Listens for the absence of breathing, swallowing and situational stammering.
- Dynamic Content Traps. When a score is borderline, an IVR micro-interaction checks whether the caller breaks character.
Telephony and SIP Metadata
- Carrier Sourcing. Reads SIP headers to separate tier-1 consumer cellular and landline carriers from wholesale cloud VoIP and virtual data centres.
- Jitter and Packet Homogeneity. Natural network fluctuation versus flat, evenly spaced packets typical of server-to-server media streaming.
The interruption test
Interrupt a caller mid-sentence and time how long they take to stop. A human reacts in around 200 ms. A standard AI agent needs 800–1200 ms while its transcription and LLM loop completes.
- Frontend Fingerprinting. Near-instant response intervals, missing browser keystroke events, dead mouse trails, and machine-perfect clipboard pastes arriving through datacentre proxy networks.
- Pattern Analysis. Zero token-delivery latency, rigid guardrail language loops, and no local typos, regional grammar quirks or emoji variation.
- Technical and Metadata Signals. Mail Transfer Agent headers, automated server IP origins and payload bursting times.
- Linguistic Markers. Over-structured bullet points, zero typos, hyper-polite compliance phrasing and hyper-formal wording.
Sits at the edge. Decides in seconds.
SentraKaya.AI is intelligent middleware. A fork of the call audio feeds the detection service while the call itself carries on to your contact centre.
Ingestion Layer
Edge interception of real-time dual-channel audio through SIPREC forks or CCaaS media streams.
Detection Engine
Streams audio chunks through acoustic embeddings and behavioural models in the first 2–3 seconds of the greeting, then returns one score: human, likely AI or inconclusive.
Policy Engine
Executes your routing rules from the ai_confidence_score webhook payload and downstream actions.
Integration Surface
Real-time event logs and audit tags flow into your CRM, fraud platform, SIEM and agent desktop dashboards.
Every score has a destination.
Route on the AI confidence score: humans to your premium queue, bots to the cheapest correct path, and everything uncertain to a closer look.
Human
Direct route to the live human agent queue, with an audit tag proving human handling.
Inconclusive or High Risk
Trigger active probing or step-up authentication. High-risk calls go to fraud review, or are blocked.
Likely AI
Route to a low-cost automated queue, an AI workflow or API, or a “honeypot” voice bot.
Middleware, not a Migration.
Two Ways to Deploy
Use it as a lightweight real-time middleware API, or as a central omnichannel analytics dashboard, both fed by webhooks and SIPREC.
Privacy-First by Design
Built to operate without collecting, storing or processing biometric personal data, which simplifies compliance with GDPR and POPIA.
Compliance and Audit
Lets contact centre providers guarantee verified human-only SLAs to their enterprise clients.