• Pricing
Book a demo

Stop telecom fraud by analyzing CDRs with AI

Swiftask connects your AI agents to your CDR platform. Detect anomalies, suspicious usage, and fraud patterns in real-time.

Result:

Protect your margins and prevent financial losses from complex fraud.

Telecom fraud is costly and evolves too fast

Fraud methods like bypass and spoofing are becoming increasingly sophisticated. Traditional monitoring systems based on static rules fail to detect new threats instantly. As a result, you only discover fraud after the financial damage is already done.

Main negative impacts:

  • Immediate financial loss: Every minute of undetected fraud represents a direct loss of revenue or margin on your terminations.
  • Limited system reactivity: Traditional methods lack granularity, letting low-volume but high-value fraud slip through.
  • Data analysis complexity: The massive volume of CDRs makes manual analysis impossible and traditional tools too slow for preventive action.

Swiftask turns your CDRs into data actionable by AI. Our agents analyze streams continuously, identify abnormal behaviors, and trigger alerts or blocking actions instantly.

BEFORE / AFTER

What changes with Swiftask

Without Swiftask

You analyze your CDRs via daily batch reports. Fraud is detected 24 hours later. Attackers have already exploited your resources, damage is irreversible, and remediation time is long.

With Swiftask + CDR Platform

As soon as a suspicious CDR is ingested, the AI agent analyzes it in milliseconds. An alert is sent in real-time. If the risk score exceeds the threshold, the agent automatically triggers blocking on your platform.

Secure your CDR streams with AI in 4 steps

STEP 1 : Connect Swiftask to your CDR data

Configure the ingestion of your CDRs into Swiftask via API or secure stream. The agent starts learning your normal traffic patterns.

STEP 2 : Define fraud models

Configure business rules and anomaly thresholds in the AI agent. No code, just monitoring logic tailored to your needs.

STEP 3 : Activate real-time detection

The agent processes every incoming call. It cross-references CDR data with your risk criteria to identify threats.

STEP 4 : Automate the response

Configure automatic action in case of detected fraud (Teams/Slack alert, IP blocking, blacklist update).

AI capabilities for your CDRs

The AI agent analyzes call duration, destinations, frequency, success ratios, and sudden traffic variations.

  • Target connector: The agent performs the right actions in cdr platform based on event context.
  • Automated actions: Anomaly detection, risk scoring per call, real-time alerts, execution of blocking scripts, incident report generation.
  • Native governance: All analyses are logged for total compliance and continuous improvement of detection models.

Each action is contextualized and executed automatically at the right time.

Each Swiftask agent uses a dedicated identity (e.g. agent-cdr-platform@swiftask.ai ). You keep full visibility on every action and every sent message.

Key takeaway: The agent automates repetitive decisions and leaves high-value actions to your teams.

Operational and financial benefits

1. Loss reduction

Stop fraud while it's happening, not after the fact.

2. 24/7 analysis without fatigue

Constant monitoring, even during weekends and nights.

3. Dynamic adaptability

The AI adjusts to new fraud methods without heavy reconfiguration.

4. Data governance

Full traceability of every agent decision.

5. Seamless integration

Fits into your existing tools without overhauling your CDR platform.

Security and privacy

Swiftask applies enterprise-grade security standards for your cdr platform automations.

  • Secure CDR processing: Your data is processed in an isolated and encrypted environment.
  • GDPR and telecom compliance: Strict management of personal data in accordance with regulations.
  • Full audit trail: Detailed history of every alert and blocking action.
  • Total control: You maintain control over final blocking decisions.

To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.

RESULTS

Impact on your profitability

MetricBeforeAfter
Detection time24h to 48hUnder 5 seconds
False positive rateHighReduced through learning
Financial loss per fraudCriticalMinimized
Team workloadConstant manual analysisSupervision by exception

Take action with cdr platform

Protect your margins and prevent financial losses from complex fraud.

Anticipate market trends with predictive CDR analytics

Next use case