Aviz Service Node outlines DPI metadata observability

Aviz Service Node exports more than 100 DPI-derived metadata fields from encrypted and unencrypted traffic to restore application context for troubleshooting, security analysis and compliance across enterprise and service provider networks without payload decryption.

Research overview

The vendor describes a metadata-first approach that applies Deep Packet Inspection (DPI) to extract protocol fields while preserving encrypted payloads. The approach targets visibility gaps that affect troubleshooting, security monitoring and regulatory reporting.

Key findings

The platform captures protocol-level data for Hypertext Transfer Protocol (HTTP), Domain Name System (DNS), Transport Layer Security (TLS), Quantum Industry Consortium (QuIC), Dynamic Host Configuration Protocol (DHCP) and SIP/RTP and maps those fields to sessions and devices. The extracted fields enable correlation of application behavior, security signals and compliance evidence without storing payload contents.

Technical breakdown

The system uses Deep Packet Inspection (DPI) handlers that parse packet headers and protocol exchanges to emit structured metadata in real time.

HTTP and HTTP/2

Metadata includes host names, URL paths, methods, response codes, content types and client identifiers to separate client issues from server-side faults.

DNS

Captured fields cover queried names, record types, response codes, returned addresses and TTLs to support resolution diagnostics and pattern analysis.

TLS and SSL

Handshake data such as server name indication, certificate attributes, protocol versions, cipher suites and client fingerprints are recorded without decrypting session payloads.

QUIC

Exported values include connection identifiers, version negotiation, transport parameters and timing indicators to maintain visibility for QUIC-based flows.

SIP and RTP

Signaling and media metadata provide codec details, sampling rates and packet-level metrics such as loss, jitter and reordering for voice and video quality assessment.

DHCP

Lease assignments, Monitoring-as-Code (MaC) addresses and lifecycle events are associated with sessions to link application activity to endpoint infrastructure.

Operational impact

Operators can use the metadata stream to reduce time spent correlating logs across multiple systems by providing protocol context in analytics and monitoring tools. The recorded fields also create queryable records suitable for audit and compliance workflows without exposing payload data.

Product update

The architecture uses modular, event-driven DPI handlers and protocol-aware export logic to add protocol support and scale processing. A configuration layer lets teams select which metadata fields to export to limit storage and focus downstream analytics.

The platform supports real-time export to observability and security tools and is presented as an alternative to raw packet capture for encrypted traffic.

The platform converts packet-level data into protocol metadata that supports troubleshooting, behavioral security detection and compliance reporting without exposing payloads. This “Blog Signals brief” is a fact-based summary of the vendor blog.