Every piece of information transmitted over the internet travels in packets. These packets carry both the actual data and metadata identifying the traffic source, content type, destination, and routing information.
Deep Packet Inspection goes far beyond conventional filtering by examining the full spectrum of data and metadata. Organizations and telecom operators deploy DPI to detect cyber-attacks, monitor traffic patterns, combat malware, optimize network performance, and analyze user behavior in real time.
Telcovas's DPI solution — built on the PRISM Service Creation Platform — delivers edge-aware inspection that classifies 2,000+ application protocols across encrypted and unencrypted traffic, enabling operators to make intelligent, real-time decisions at wire speed.
Examines only packet headers — superficial inspection checking basic routing information like IP addresses and port numbers. No visibility into application behavior or payload content.
Analyzes the complete packet payload and metadata, enabling precise identification, classification, and intelligent routing based on actual content — including encrypted TLS/QUIC traffic via SNI and JA3 profiling.
Operators and regulators face mounting pressure from data growth, security threats, and evolving compliance demands.
DPI has become a critical network intelligence platform.
Create new revenue streams through app bundles, zero-rating, sponsored data, and premium tiers. DPI identifies applications in real time to apply intelligent charging rules.
Protect network performance by enforcing Fair Usage Policies and quota limits. DPI tracks usage to trigger PCRF rules for throttling or prioritization.
Prevent revenue leakage from SIM-box fraud and grey routes. DPI detects suspicious patterns to block fraudulent flows before they impact revenue.
Increase ARPU and reduce churn by offering guaranteed QoS. DPI recognizes latency-sensitive flows (like gaming) and enforces priority at the edge.
Reduce over-provisioning and postpone capacity upgrades. DPI identifies heavy users and enables targeted shaping to optimize peak load management.
Offer managed enterprise connectivity and network slicing for IoT. DPI provides application-level visibility with tenant-specific policies.
Efficiently manage congestion by identifying bandwidth-heavy applications for granular traffic shaping during peak hours.
Detect and block DDoS attacks and malware at the network level by analyzing packet payloads for malicious signatures.
Gain visibility into encrypted traffic (QUIC/TLS 1.3) using heuristic and statistical analysis to classify obscured traffic.
Enable 5G use cases by providing deep visibility to ensure specific slices (IoT vs. URLLC) meet distinct technical requirements.
Identify latency-sensitive apps like AR/VR. DPI at the edge allows for immediate routing decisions to minimize round-trip time.
Comply with national security mandates by providing authorized access to specific communication data through precise filtering.
Enforce court orders on illegal content or piracy. DPI provides URL and SNI filtering to block specific domains accurately.
Meet local requirements for logging metadata. DPI generates enriched IPDRs for forensic audits and retention laws.
Regulators use DPI to ensure operators are not unfairly discriminating against specific content providers or competitors.
Implement regulatory frameworks for child protection by identifying and blocking harmful material (CSAM) across the network.
From network optimization and security to fraud prevention and QoE monitoring — each use case is battle-tested across live operator deployments.
Proactively detect and mitigate congestion by identifying bandwidth-intensive applications and users. Dynamically apply traffic shaping policies to maintain optimal performance and ensure fair resource allocation during peak hours.
Detect and mitigate distributed denial-of-service attacks targeting mobile network infrastructure or subscriber devices. Automatically respond to attacks in under 60 seconds with minimal manual intervention — protecting network availability.
Identify application types across 2,000+ protocols and dynamically route traffic through optimal network paths. Priority steering for latency-sensitive applications including voice, video conferencing, and gaming. Integrates with SDN controllers.
Subscriber-centric QoE measurements including video MOS scoring, buffering detection, voice R-Factor analysis, HTTP response times, and application-specific KPIs for YouTube, Netflix, VoLTE, VoWiFi, and 500+ services.
Identify malware signatures, botnet command-and-control channels, and compromised devices in real time. Automated containment prevents lateral spread while alerting security teams for investigation.
Granular per-flow telemetry with application tags feeds capacity planning models. Predict congestion hotspots, optimize resource allocation, and defer costly infrastructure upgrades through data-driven decisions.
Detect unauthorized OTT voice and messaging traffic that bypasses operator revenue streams. DPI identifies bypass patterns and enables policy enforcement to recover lost revenue from grey route exploitation.
Identify SIM box gateways converting international calls to local calls to evade interconnect charges. DPI analyzes call patterns, codec signatures, and traffic anomalies to detect and block fraud in real time.
Granular per-flow telemetry with application tags feeds capacity planning models. Predict congestion hotspots, optimize resource allocation, and defer costly infrastructure upgrades through data-driven decisions.
Identify fraudulent roaming activity including cloned SIMs, abnormal usage patterns, and unauthorized data consumption. Correlate signaling and user-plane data for comprehensive roaming fraud prevention.
Detect and prevent unauthorized premium rate service charges generated by malware or fraudulent applications on subscriber devices. Protect subscribers and prevent revenue disputes.
Identify fraudulent subscription patterns and zero-day exploitation attempts through behavioral analysis. ML models detect anomalous registration and usage patterns that indicate fraud before traditional rules catch them.
Beyond core use cases, DPI is evolving to address next-generation challenges across 5G, IoT, AI workloads, and edge computing.
AI-powered DPI engines detect zero-day threats and malware. Integration with Extended Detection and Response (XDR) platforms for real-time threat correlation across the network.
Segment and prioritize 5G slices for mission-critical applications. DPI identifies rogue IoT devices and enforces micro-segmentation policies across massive device fleets.
Profile user behavior for anomaly detection in banking, healthcare, and government networks. DPI provides the telemetry foundation for advanced behavioral intelligence.
Monitor AI model training traffic for data leakage and performance bottlenecks. Supports cloud-native observability in GPU clusters and edge inference nodes.
Flexible deployment models for SMBs and edge deployments. Consume DPI capabilities as a managed service without infrastructure investment.
Real-time data masking and GDPR/CCPA compliance by inspecting sensitive payloads. Lawful intercept and data residency enforcement for cross-border traffic.
See how Telcovas DPI can transform your network operations, security posture, and revenue assurance capabilities.
