Aviz Service Node outlines DPI metadata observability
2 companies named across 14 categories, one of 89 articles referencing DEEP. Previous coverage: CompTIA partners with SGInnovate on Singapore upskilling program (Feb 2026).
Companies mentioned
Best suited for
- Seniority
- Architect
- Job function
- Network / Network Architect
- Persona
- Network Architect
- Buyer role
- Architect / Technical Evaluator
- Decision stage
- Which to buy
- Adoption curve
- Early Majority
- Industry
- Telecommunication Services / Diversified Telecommunication Services / Integrated Telecommunication Services
Our classification, not the publisher's statement. Best suited for, not only for.
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), 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, 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.
Blog post, originally published by Subhiksha Devarajan at Aviz Networks.