Predictive Fraud Detection
AI/ML forecasting of fraud campaigns before subscribers are impacted, based on early indicators observed across the network.
Fraud is no longer a single-channel problem.
Attacks now move across voice, messaging, data sessions, and OTT platforms at once. Scammers impersonate operators, government agencies, and financial institutions. They deploy deepfake audio, synthetic identities, SIM boxes, and SIM-swap techniques in coordinated campaigns built to outpace traditional defenses.
Isolated, domain-by-domain controls see only fragments. NetAIShield sees the full picture and acts in real time.
NetAIShield is Mavenir’s next-generation, AI-By-Design fraud protection framework.
It protects subscribers, mobile operator services as revenue by using the full range of intelligence available across the operator network.
As threat actors use AI to automate, personalize, and scale fraud, operators need protection that reaches beyond isolated controls and single-device endpoint tools. NetAIShield unifies diverse network and subscriber signals into one real-time view.
The network is the common layer across every subscriber device, service, and session. Detecting fraud there gives operators a consistent foundation for identifying and stopping threats.
This protects the core business of mobile operators: voice, messaging and data services creating a trusted eco system and a safe communication space. Because detection happens at the network level, protection is delivered independently of the user’s device or any endpoint software, ensuring the same level of security for every subscriber or device.
NetAIShield correlates suspicious activity across services and channels, rather than relying on controls buried inside individual apps or endpoints. One vantage point. Complete visibility.
AI/ML forecasting of fraud campaigns before subscribers are impacted, based on early indicators observed across the network.
Consolidates voice, messaging, web, packet-core, BSS, and SIM-swap intelligence into a single AI/ML-driven decisioning engine.
Continuously scored, continuously updated reputation for every mobile number and every event — usable by network, BSS, and third-party enforcement points.
Pattern-based and behavioural detection of SIM-box farms using combined signalling, packet-core, and calling behaviour signatures.
Blocks or challenges financial operations targeting subscribers who are simultaneously on a scam voice call, receiving a phishing SMS.
Flags outbound and inbound lines that show early-stage fraud behaviour — including money-mule, fraud-enabler, and compromised-account patterns.
Correlates events back through carriers, ranges, devices, and SIM identities to expose the origin of coordinated campaigns.
In-conversation protection through personalised Call Screening AI and similar agents, enabling subscriber-level defence where regulation permits.
Automated correlation and scoring operate on network signals and metadata — subscriber content is only inspected by opt-in AI agents where the subscriber has explicitly consented.
Layered on top of existing operator infrastructure with no architectural change; integrates natively with Mavenir Packet Core, CallShield, SpamShield, LinkShield, and any operator fraud-management platform.
NetAIShield separates detection from enforcement. It overlays existing network and fraud-management operations with minimal disruption — enhancing deployed systems without replacing current controls or reworking established processes.
NetAIShield can be complemented by a personalized AI Call Screening agent. Offered as a value-added service, it protects subscribers directly during a call — whether the subscriber chooses to answer, or the operator cannot block a suspect call for regulatory reasons.
— Ilia Abramov, VP & General Manager, Security Business Unit, Mavenir
Move from reactive defense to AI-powered protection
See how NetAIShield detects, correlates, and neutralizes fraud across every network domain.