Cybersecurity

Aviz and Endace describe processing traffic with aggregation and normalization before Always-On Packet Capture records and indexes packet evidence.

Aviz Networks and Armis describe a joint setup that filters, deduplicates, and normalizes telemetry before Armis Centrix passive discovery.

Aviz and Nozomi outline deep network observability that captures, filters, and enriches TAP/SPAN traffic for OT security analytics.

Aviz Networks released APB 2.12 with dynamic LAG hashing for NVIDIA, VXLAN/GRE decapsulation, and FIPS-compliant cryptography.

Case study details a data centre move from STP-based Layer 2 to SONiC leaf–spine with MCLAG, keeping firewall Layer-3 termination.

Aviz Networks and NVIDIA discuss simulation-first AI infrastructure with DSX Air to validate connectivity, configs, security and failures before hardware.

Aviz Packet Broker runs on SONiC-based white box switches to aggregate, filter, optimize and distribute TAP/SPAN traffic with VXLAN/GRE visibility.

Aviz Networks’ vasn_tap captures and forwards Linux traffic using AF_PACKET or eBPF, with optional filtering, truncation, and userspace VXLAN/GRE plus stats via vasn_tapctl.

Aviz Podcast Episode 21 says AI value forms at the edge and that networking is needed to scale AI infrastructure beyond GPUs.

ASN-DPI correlates control-plane subscriber IDs with user-plane traffic to deliver per-flow, subscriber-aware analytics for QoE, capacity planning, policy, and security.

Aviz addresses enterprise SONiC objections with validation, observability, orchestration, SLAs, and training via ONES and CCS.

The blog recommends open, AI-ready networking for e-commerce, using SONiC, packet brokers, and AI-powered observability to handle spikes and improve visibility.