Stop Spam Across Every Communication Channel

We combine AI/ML, DPI, NLP, and behavioral intelligence to detect and block spam, phishing, fraudulent messages, and unwanted communications across voice, SMS, and data channels.

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Challenges

Industry Challenges

Spam Has Become a Multi-Channel Threat

Fraudulent campaigns move across voice, SMS, and data services, making isolated, channel-specific controls increasingly ineffective.

Attackers Continuously Adapt to Detection Controls

Spam campaigns modify content, identities, traffic patterns, and language to evade conventional signatures, rules, and filtering systems.

AI Is Making Evasion More Sophisticated

Generative AI enables increasingly varied and convincing content, requiring detection models designed to resist adversarial evasion techniques.

Every Unwanted Communication Impacts Subscriber Trust

Spam and phishing that reach subscribers can expose them to fraud while undermining confidence in operator services and digital channels.

Product Overview

Intelligent, Multi-Channel Spam Protection

Our Spam Controller detects and blocks spam, phishing attempts, fraudulent messages, and unwanted communications across voice, SMS, and data channels. It combines DPI-based content intelligence with real-time ML pattern recognition, behavioral scoring, and Natural Language Processing (NLP) to identify coordinated and emerging spam activity.
Generative AI-hardened scoring models resist adversarial evasion techniques, while adaptive ML continuously learns from new spam patterns to strengthen detection as campaigns evolve.

The Outcomes Are Clear

01 Less spam

02 Faster campaign detection

03 Greater subscriber trust

Capabilities

Product Capabilities

Multi-Channel Spam Detection

Detect and block unwanted and fraudulent communications across voice, SMS, and data channels through a unified protection platform.

DPI-Based Content Intelligence

Inspect traffic and content at deeper layers to identify spam characteristics that signature-based systems alone can miss.

Real-Time ML Pattern Recognition

Analyze traffic characteristics, campaign behavior, and communication patterns to identify coordinated and emerging spam activity.

Natural Language Processing

Analyze message content and linguistic patterns to identify spam, phishing attempts, deceptive communications, and fraudulent messages.

Real-Time Behavioral Scoring

Evaluate communication activity using volume, frequency, behavioral patterns, content indicators, and contextual intelligence.

Generative AI-Hardened Scoring

Apply scoring models designed to resist adversarial evasion techniques and strengthen detection against increasingly sophisticated AI-enabled spam campaigns.

Adaptive ML Intelligence

Continuously learn from new spam patterns to improve detection as campaign strategies and evasion techniques evolve.

Real-Time Spam Blocking

Apply configurable policies to block identified spam and fraudulent communications before they reach subscribers.

Process

How It Works

Analyze Communications

We continuously evaluate voice, SMS, and data traffic for suspicious content and communication behavior.

Inspect Content and Context

DPI and NLP analyze content characteristics, language patterns, traffic behavior, and contextual indicators.

Identify Campaign Patterns

Adaptive ML detects coordinated behavior and emerging spam patterns that may not match established signatures.

Score Against Evasion

Generative AI-hardened models evaluate suspicious activity while resisting adversarial techniques designed to bypass conventional detection.

Block and Continuously Learn

Fraudulent and unwanted communications are blocked in real time, while new spam patterns continuously strengthen adaptive detection models.

Results

Key Outcomes

Reduced Spam Exposure

Detect and block unwanted communications before they reach subscribers at scale.

Faster Campaign Detection

Identify coordinated and emerging spam activity through real-time content and behavioral intelligence.

Stronger Phishing Protection

Detect deceptive content and communication patterns associated with phishing and fraudulent messaging.

Greater Resistance to Evasion

Strengthen detection against sophisticated and AI-enabled techniques designed to bypass conventional spam controls.

Higher Detection Intelligence

Combine DPI, NLP, behavioral scoring, and ML to identify threats beyond static signatures and blocklists.

Greater Subscriber Trust

Reduce exposure to unwanted and fraudulent communications that undermine confidence in operator services.