Monitoring

Healthcare connected device security relies on network visibility, using packet-level traffic data for device discovery, monitoring, and threat detection when agents or frequent patches aren’t possible.

Aviz AI Agents automate on-demand checks and background monitoring for network operations, with RBAC, approvals, audit trails, and ServiceNow/Zendesk/Slack integrations.

Aviz Service Nodes use software-defined DPI to identify 2,700+ applications and export JSON metadata via Kafka, REST, Syslog, IPFIX, and NetFlow.

Coveron rebranded from NordProtect and expanded beyond identity theft to scam support with 24/7 monitoring and financial recovery.

Aviz says open SONiC networking and unified observability can help telcos improve 4G/5G/FTTH visibility, cut DPI costs, and automate NOC workflows.

Varonis said Atlas AI Security Platform integrated Claude Compliance API to monitor Claude Enterprise and Claude Platform activity for alerts, audits.

Aviz Network Copilot for Public Sector outlines on-prem private AI, continuous compliance validation, and SONiC-based networking for hybrid monitoring and citizen data.

NeoCloud providers need faster GPU onboarding, multi-tenant orchestration, vendor-neutral networking, deep observability, packet-level compliance monitoring, and AI support.

Aviz says banking and FinTech networks can use private AI, continuous compliance automation, unified packet/application/session visibility, and SONiC vendor-neutral scaling.

Healthcare networks can scale for AI and telehealth using on-prem AI, vendor-neutral packet observability, and standards-based infrastructure with HIPAA-ready operations.

Aviz outlines an AI-ready education networking approach using private on-prem AI, deep observability, and SONiC to automate compliance and reduce troubleshooting time.

Fortinet announced tighter integration between FortiAIGate and NVIDIA AI platforms to secure agentic AI workloads across data centers, cloud, and edge. The release positions GPU-accelerated, inline zero-trust controls for AI runtime governance, multitenant isolation, and sovereignty-oriented deployment options, with performance and latency claims.