Coforge

Who We Are

About Us Newsroom Leadership Partners Locations Careers Awards & Recognitions ESG Learn more about Coforge
Coforge: Where AI engineering meets industry expertise.

Learn about our company, our vision and values, and the 45,000+ professionals enabling businesses to harness the power of AI.

Learn more about Coforge
Composable Enterprise

Anomaly Detection for Telecom

The Challenge Facing Telecom

 

Telecom operators face constant threats, such as fraud, spoofing, robo-calling, SIM swapping, and denial-of-service attacks, that drain revenue, erode customer trust, and create regulatory exposure. Traditional detection relies on predefined rules and labeled examples, so it misses new and evolving attack patterns.

 

With billions of call records and network packets flowing every day, manual analysis simply can't keep pace.

 

Coforge's Solution

 

Our anomaly detection solution for telecom is a scalable, explainable, AI-powered fraud and anomaly detection blueprint. It is designed to continuously monitor your network data to spot threats — from fraud and spoofing to denial-of-service attacks — as they emerge, explaining each finding clearly so your teams can act quickly and confidently.

 

How It Works

 

The blueprint design is based on an analysis of the data your network already produces. Machine learning helps establish what normal looks like, flags what doesn't, and provides a clear explanation behind every alert.

 

Broad threat coverage from existing data
It detects many types of anomalies, including robo-calling, spoofing, SIM swapping, and Distributed Denial of Service (DDoS) and Denial of Service (DoS) attacks, by analyzing network data such as Call Detail Records (CDRs) and network packet data.
Detection without labeled data
The blueprint uses unsupervised learning, which means it identifies unusual behavior without needing predefined rules, categories, or labeled examples of past fraud. That lets it catch new and previously unseen attacks that rule-based systems miss.
Explainable findings you can trust
Every detection comes with a clear, automatic explanation of why it was flagged, so your subject matter experts can quickly understand the type of anomaly and decide how to respond, rather than second-guessing a black-box alert.
Scalable for big data and fast action
The blueprint is built to handle huge volumes of network data and deliver insights quickly, and it can automatically trigger corrective actions the moment a threat is detected.
Synthetic data to strengthen detection
Because real examples of fraud are rare and sensitive, the blueprint generates synthetic data to train and validate its models, improving accuracy without depending on hard-to-get real-world cases.
Continuous learning, flexible deployment
Models are monitored and retrained on an ongoing basis, so detection keeps improving as new threats appear. Deploy it in the cloud or on-premises to meet your data residency, governance, and scalability needs.

Business Impact

 

  • Detect and stop fraud and service disruptions as much as 60% faster, before they erode customer trust.

  • Stay compliant with regulations for data protection, fraud prevention, and unsolicited communications.

  • Reduce service downtime and improve operational efficiency.
  • Increase customer satisfaction by keeping the network safe and reliable.

  • Free your experts from manual analysis with automated, explainable detection.

Why It Matters to Telecom Operators

 

With Coforge’s anomaly detection blueprint, you catch threats faster, protect customer trust, and stay compliant — without drowning your experts in alerts. It’s all based on our deep telecom expertise and a scalable, explainable AI solution that works for your business.