Deep Network Observability for Healthcare
Aviz delivers software-defined deep network observability for healthcare - from hospital data centers to cloud-hosted EHRs, connected medical devices, telehealth platforms, and partner networks. A vendor-neutral, AI-ready solution - with up to 50% TCO reduction and out-of-the-box HIPAA evidence.
Challenge: The Visibility Problem across Healthcare Infrastructure
Distributed care made healthcare networks invisible.
Modern healthcare runs on a sprawl of connected clinical devices - ECG machines, MRI scanners, infusion pumps, patient monitors, lab instruments - across hospitals, clinics, ambulatory centers, and telehealth platforms. Most cannot host agents. All generate traffic invisible to perimeter and endpoint controls. Every blind spot is a HIPAA gap, a ransomware foothold, or a rogue DHCP waiting to happen. Legacy appliance-based packet brokers can't keep up. Aviz can.
CLOUD - Hybrid & multi-cloud sprawl
Cloud-hosted EHRs, telehealth platforms, claims systems, and patient portals live across hybrid and multi-cloud. Native flow logs aren't enough to prove HIPAA posture or detect lateral movement before ransomware spreads.
DATA CENTER - Clinical core fabrics at 100–400G
Hospital data centers run mission-critical clinical workloads, imaging archives, and lab platforms on high-speed fabrics where dropped packets mean missed alerts and missed threats. Legacy brokers can't keep up without proprietary silicon.
EDGE - Branch clinics & remote care
Every branch clinic, ambulatory surgery center, and telehealth endpoint is a weak link. Visibility has to extend beyond the data center — without shipping expensive appliances to every location.
IT / OT - Connected medical devices
Infusion pumps, imaging systems, lab instruments, and monitoring equipment cannot accept agents and increasingly drive the attack surface. Healthcare teams need the same packet-level evidence across IT and connected-care environments that they get for servers.
The Aviz Deep Network Observability (DNO) Architecture
Aviz Deep Network Observability Intelligent Stack is a software-defined pipeline that converts raw network traffic into structured, compliance-ready intelligence. Aviz DNO ingests TAP/SPAN traffic from every healthcare environment — hospital data centers, hybrid cloud, branch clinics, telehealth platforms, and connected medical devices — and delivers enriched, tool-ready telemetry to every security and observability stack you already own.
Figure 1: Aviz Deep Network Observability Intelligent Fabric
Aggregate
Aggregate TAP/SPAN traffic across hybrid and distributed healthcare environments — hospital data centers, hybrid cloud, branch clinics, telehealth platforms, and connected medical devices — into a single logical pipeline.
Optimize
Reduce noise and optimize traffic for downstream tools through intelligent filtering, load balancing, and header stripping. Stop paying your observability tools to analyze duplicate, encrypted, or irrelevant bytes.
Enrich (Dedup + App-Metadata)
Convert packets into structured, high-fidelity telemetry. Deep Packet Inspection extracts application metadata — TLS versions, cipher suites, HTTP headers, API calls, session state — while deduplication eliminates mirrored traffic noise before it hits your tools.
DPU-Native Acceleration
DPU-native acceleration for line-rate packet processing and low-latency performance. Scales from 100G to 400G on commodity x86 with NVIDIA BlueField-3 — no proprietary ASICs, no vendor lock-in.
Distribute
Intelligently distribute enriched traffic to security and observability tools. Open export formats (JSON, Kafka) feed SIEM, NDR/IDS, fraud platforms, and HIPAA compliance systems — all simultaneously, all filtered to the right consumer.
Compliance, Handled
Turn packets into audit evidence.
Aviz produces the structured artefacts your compliance, risk, and security teams need to prove HIPAA controls to auditors and regulators — continuously, without agents.
HIPAA Compliance
Continuous PHI flow evidence and audit-ready controls
Continuous TLS, cipher, and certificate visibility on every system that transmits PHI. East-West and lateral flow evidence for HIPAA Security Rule technical safeguards. Outbound flow visibility for business associate connections, third-party APIs, and AI services — without agents on EHR, imaging, or medical device workloads.
Learn more → HIPAA GuideConnected Device Security
Visibility for FDA cybersecurity guidance and clinical risk programs
Live device traffic patterns across infusion pumps, imaging, lab, and monitoring equipment — captured at the network layer regardless of vendor or operating system. Continuous evidence for FDA premarket and postmarket cybersecurity programs and connected-device risk frameworks.
Learn more → Connected Device GuideRansomware Defense
Catch lateral movement before encryption begins
Workload-to-workload and segment-to-segment visibility across hybrid cloud, on-premises, and Kubernetes environments — surfacing the lateral patterns that signal ransomware before encryption. Forensic-quality packet evidence is streamed to SIEM, NDR, and XDR platforms.
Learn more → Threat Visibility GuideHealthcare Segments — One pipeline. Every healthcare workload.
Aviz Deep Network Observability adapts to how each healthcare segment actually runs — the scale, the regulations, and the specific workflows that matter most.
Hospitals & Providers · Clinical Core · EHR · Imaging · Branch
- Continuous PHI flow visibility across EHR, imaging, and lab platforms
- East-West and lateral movement detection across clinical zones
- HIPAA Security Rule evidence for the full clinical environment
- Branch clinic and ambulatory care packet visibility at edge throughput
Payers · Claims · Member Portals · Partner APIs
- Packet-derived evidence across claims, eligibility, and member portals
- HIPAA, state privacy, and audit obligations are satisfied continuously
- Live visibility into every third-party API connection and outbound data flow
- Outbound AI service consumption is monitored across managed and unmanaged devices
Life Sciences · Pharma · Biotech · Clinical Research
- Visibility across manufacturing OT, clinical lab systems, and GxP environments
- PHI and PII movement evidence across global research collaborations
- Intellectual property exfiltration patterns surfaced at the network layer
- Unsanctioned third-party API and AI consumption — without disrupting validated systems
Telehealth & Connected Care · Devices · Cloud-to-Device · Remote Monitoring
- Every device conversation — infusion pumps, imaging, monitoring, lab instruments
- Cloud-to-device flows and East-West calls between connected care platforms
- FDA cybersecurity guidance and connected-device frameworks supported
- Continuous evidence without disrupting clinical operations or validated systems
See it on your traffic.
Bring a day of real healthcare packet captures to the Aviz ONE Center. We'll stand up Packet Broker, Service Node, and Flow Vision alongside your incumbent — and you'll walk out with a side-by-side comparison of HIPAA evidence, ransomware lateral visibility, and total cost.