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.
AI Agents
cdr platform
Connector cdr platform · Secure OAuth 2.0
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
1
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.
2
STEP 2 : Define fraud models
Configure business rules and anomaly thresholds in the AI agent. No code, just monitoring logic tailored to your needs.
3
STEP 3 : Activate real-time detection
The agent processes every incoming call. It cross-references CDR data with your risk criteria to identify threats.
4
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
Loss reduction
Stop fraud while it's happening, not after the fact.
24/7 analysis without fatigue
Constant monitoring, even during weekends and nights.
Dynamic adaptability
The AI adjusts to new fraud methods without heavy reconfiguration.
Data governance
Full traceability of every agent decision.
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
| Metric | Before | After |
|---|---|---|
| Detection time | 24h to 48h | Under 5 seconds |
| False positive rate | High | Reduced through learning |
| Financial loss per fraud | Critical | Minimized |
| Team workload | Constant manual analysis | Supervision by exception |
Take action with cdr platform
Protect your margins and prevent financial losses from complex fraud.