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Conversation Analytics for Fraud & Risk Monitoring in Broadband & Cable TV

Detect Suspicious Calls, Reduce Revenue Loss & Protect Customer Trust with AI

Broadband, cable TV and ISP providers deal with busy customer service queues for account access, billing, service changes, outages, installations, refunds, and technical support. Providers may be vulnerable to identity fraud, social engineering, unauthorized account changes, billing abuse, and other financial risks as a result of these interactions.

As a result of suspicious activities, risk indicators and compliance breaches detected in customer conversations via Verbix.AI, support teams get a heads-up on potentially fraudulent activity to intervene before it causes damage.

Account Takeover & Identity FraudBilling & Payment Fraud RisksSocial Engineering AttemptsSuspicious Customer ConversationsUnauthorized Account ChangesLimited Fraud & Risk Visibility

Fraud & Risk Monitoring Challenges at Scale

Detecting account takeover, payment fraud, and social engineering in high-volume broadband and cable support centers.

Account Takeover Risks

Criminals could be trying to take over customer accounts by social engineering the support agents or otherwise obtaining account access.

Social Engineering Attacks

Criminals may conduct social engineering attacks over the phone to try to acquire sensitive information and/or perform account modifications or unauthorized account changes.

Billing & Payment Fraud

Refund scams, payment disputes, account modifications and irregular billing discussions could all contribute to financial losses.

Identity Verification Challenges

Agents are required to adhere to authentication and verification procedures across the board prior to executing sensitive account modifications.

Unauthorized Service Changes

Scammers may call us pretending to be you, trying to change your plan, transfer your services to a new address, or obtain access to your account.

High-Volume Support Environments

Leading ISPs have thousands of conversations to handle in their large ISP contact centers making it hard to track down fraud manually.

Fraud Detection Blind Spots

Common practice of QA reviews only a small sample of calls as a result many of the creeping patterns of Named may become undetected and steadily continue to worsen.

Customer Privacy & Compliance

Telecom providers must safeguard customer data and employ proper privacy and regulatory mechanisms.

Revenue Leakage

Refund fraud, discount fraud, credit card fraud, service change and account activity related fraud can all have a direct impact on your revenue.

Broadband & Cable Fraud Monitoring Without vs With AI

Compare manual fraud oversight with Verbix AI-driven conversation intelligence for broadband and cable providers.

Broadband and cable support team handling manual QA and fraud detection challenges

Without Verbix.AI

Manual fraud reviews

Limited call sampling

Missed suspicious conversations

Inconsistent verification processes

Delayed fraud escalation

Difficult pattern detection

Higher revenue leakage

Limited risk visibility

Example Scenario

Without conversation intelligence, ISP support teams rely on manual QA sampling, leaving caller spoofing, social engineering, and unauthorized account modifications undetected until financial loss occurs.

Broadband call center monitoring real-time AI fraud detection dashboard with Verbix AI

With Verbix.AI

AI-powered fraud signal detection

100% conversation monitoring

Suspicious keyword & phrase detection

Identity verification QA

Real-time risk alerts

Conversation pattern analysis

Automated compliance monitoring

Faster fraud investigation

Example Scenario

Verbix.AI automatically transcribes and analyzes 100% of customer conversations in real time, detecting suspicious caller behaviors, enforcing identity verification compliance, and triggering instant alerts to prevent fraud.

Telecommunications Organizations We Serve

Conversational AI for broadband & ISP providers, cable TV networks, and fiber service operators to detect fraud, ensure compliance, and protect subscriber accounts.

Broadband & ISP Providers AI Call Analytics
Telecommunications & ISP

Broadband & ISP Providers

Empower internet service providers with AI conversation analytics, fraud signal detection, and real-time subscriber authentication tracking.

Key Challenges

  • Account security
  • Billing fraud
  • Unauthorized service changes
  • Customer verification
  • Refund abuse

AI Use Cases

  • Fraud conversation analytics
  • Risk alerts
  • Identity verification monitoring
  • Sentiment analysis
  • Compliance dashboards
Cable TV Providers AI Call Analytics
Telecommunications & ISP

Cable TV Providers

Protect cable television operations from account takeover, fraudulent plan modifications, and payment abuse with automated QA and smart escalation.

Key Challenges

  • Account takeover
  • Unauthorized upgrades
  • Refund requests
  • Billing disputes
  • Customer data protection

AI Use Cases

  • Suspicious conversation detection
  • Automated QA
  • Smart escalation
  • Call transcription
  • Risk analytics
Fiber & Multi-Service Providers AI Call Analytics
Telecommunications & ISP

Fiber & Multi-Service Providers

Monitor high-volume multi-service support calls, detect pattern risks, and streamline compliance auditing across fiber and quad-play providers.

Key Challenges

  • Account changes
  • Service transfers
  • Payment-related fraud
  • Installation fraud
  • High-volume support

AI Use Cases

  • AI-powered call monitoring
  • Fraud pattern detection
  • Compliance monitoring
  • Agent performance scoring
  • Risk reporting

How Telecom Fraud & Risk Teams Are Supported by Verbix.AI

01

Suspicious Conversation Detection

Recognize anomalies in language, verification-bypass attempts, or suspicious requests which may be signs of fraud.

02

Social Engineering Detection

Detect social engineering manipulation, unusual urgency or social persuasion inside conversations trying to convince agents to skip security procedures.

03

Billing & Refund Risk Monitoring

Potential payment disputes, refund requests, credits and conversations that relate to billing are flagged for inspection.

04

Identity Verification Monitoring

Keep track of agent compliance with the necessary authentication steps when dealing with customer's sensitive accounts.

05

Real-Time Risk Alerts

Notifications are sent to supervisors when high-risk conversations or activity on a suspicious account are identified.

06

Fraud & Risk Analytics

Monitor fraud indicators, escalation rates, agent's compliance, suspicious call patterns and potential revenue leakage.

Complete Visibility into Every Telecom Risk Conversation

Track all account modifications, billing disputes, refund requests, authentication transactions, service transfers, and suspicious customer interactions from a single, centralized AI dashboard.

broadband cable call analytics dashboard

Client Testimonial

"Verbix.AI has provided us with enhanced oversight of suspicious dialogs for our fraud and customer service teams. We are able to detect high risk interactions more rapidly, drive better agent compliance, and investigate potential fraud prior to it resulting in significant losses."
Soltelco

Head of Risk & Customer Operations Leading Broadband & Cable Provider

Frequently Asked Questions

Verbix.AI scans customer conversations for questionable language, social engineering tactics, verification problems, and fraudulent activities.

Yes. AI can flag conversations with suspicious authentication activity, such as unauthorized account changes and attempts to circumvent security protocols.

Yes. Conversation analytics have the ability to assess whether the agents comply with the identity verification and account security protocols that are mandated.

Yes. It can also detect suspicious billing disputes, refund claims, credits, discounts, and other financial conversations that may be at risk.

Yes. Organizations can be alerted to potential sources of revenue leakage for further investigation sooner by flagging suspicious interactions, unauthorized modifications, and anomalous refund or credit activity.