ASN Deep Packet Inspection outlines application and protocol visibility
22nd article in the last 90 days, one of 128 articles referencing DEEP. Previous coverage: Aviz Networks and Endace detail optimized traffic delivery for Always-On Packet Capture (Jul 2026).
Companies mentioned
Best suited for
- Seniority
- Director
- Job function
- Network / Network Engineer
- Persona
- Network Operations Leader
- Buyer role
- Decision Maker / Budget Holder
- Decision stage
- Which to buy
- Adoption curve
- Early Majority
- Technology maturity
- Established Technology
- Industry
- Information Technology / Software & Services / IT Services / AI Infrastructure
Our classification, not the publisher's statement. Best suited for, not only for.
ASN Deep Packet Inspection is presented as a way to identify thousands of applications and extract protocol metadata from live traffic, supporting application and category recognition plus session performance metrics for telecom and enterprise teams.
Research Overview
The brief describes deep packet inspection as packet-level traffic analysis that examines payload data in addition to headers to understand application behavior and protocol usage. It frames the need for this visibility around shared network infrastructure used by many applications across telecom and enterprise environments.
It also distinguishes DPI from basic flow statistics by describing DPI as adding context about what the traffic is doing rather than only that traffic exists between IP endpoints.
Key Findings
The brief states that ASN-DPI can identify more than 2,700 applications and 9,000 sub-category applications. It describes traffic categorization as supporting security policy enforcement, bandwidth allocation, and compliance requirements.
It adds that DPI includes protocol metadata extraction and uses that metadata to provide context such as who initiated traffic and how traffic affects services and users.
Technical Breakdown
According to the brief, protocol metadata enables subscriber-aware and application-aware monitoring across networks that include 4G and 5G cores, enterprise data centers, and cloud environments. It states that traffic can be large, encrypted, and dynamic, so basic counters alone are not positioned as sufficient for detailed troubleshooting.
The brief says ASN-DPI extracts metadata from multiple protocols to support troubleshooting, performance monitoring, security enforcement, and service optimization. It also says metadata extraction can occur without full payload inspection in line-rate scenarios.
Operational Impact
For telcos, the brief states ASN-DPI provides application, protocol, and category identification across more than 2,700 applications plus session KPIs such as bandwidth usage, latency, and packet retransmissions. It says metadata such as HTTP hostnames and user-agent information supports subscriber analytics and network management.
For data centers and enterprises, it describes combining application identification with session metrics to support tracking application usage and bandwidth consumption, identifying latency and packet loss issues, detecting network bottlenecks, and enforcing security and compliance policies. It also states that ASN-DPI supports dynamic updates to detection engines and protocol signatures without service interruption or redeployment.
Overall, the brief describes ASN-DPI as delivering application and category identification along with protocol metadata and session KPIs, with dynamic signature updates intended to keep identification current for new applications and protocols; Blog Signals brief is a fact-based summary of the vendor blog.
Blog post, originally published at aviznetworks.com.