From firewall rules to backup integrity to business outcomes — how the SDNS platform sees, understands, and reports on every layer of your investment.
Most infrastructure tools analyze one thing well. Your firewall vendor analyzes security. Your monitoring vendor analyzes availability. Your backup vendor analyzes data protection. But no single vendor sees the full picture.
The SDNS platform does. Because each product specializes in a different infrastructure layer, and because they share context through the platform's internal communication bus, the analysis spans the entire stack — from packet-level security to business-level capacity planning.
| Analysis | What It Finds | Why It Matters |
|---|---|---|
| Rule audit | Shadowed rules, redundant rules, overly permissive rules | Reduces attack surface, simplifies ruleset |
| Security grade | A through F score across 6 domains | Tracks security posture over time |
| Threat detection | DNS tunneling, port scans, brute force, C2 callbacks | Identifies active threats in real-time |
| Change impact | Risk classification of proposed config changes | Prevents misconfigurations before they're applied |
| VPN health | Tunnel uptime, rekeying patterns, latency trends | Predicts VPN failures before they happen |
| Compliance drift | Deviations from CIS benchmarks, NIST 800-53 | Maintains compliance between audits |
| Analysis | What It Finds | Why It Matters |
|---|---|---|
| Device discovery | Every device on the network, including unauthorized ones | You can't secure what you don't know about |
| Config standardization | Fleet-wide baseline enforcement, automated rollback of unauthorized changes | Every switch, router, and firewall configured to your standard |
| Misconfiguration correction | VLAN trunk errors, access port misassignment, STP issues, duplex mismatches | Fix problems before they cause outages |
| Routing validation | BGP peering health, OSPF adjacency tables, route redistribution, path analysis | Catch routing loops, missing peers, and suboptimal paths |
| Storm detection | Broadcast storms, multicast floods, spanning tree loops | Detect and suppress before they take down the network |
| Interface health | Error rates, CRC errors, utilization, drops, discards | Catches hardware failures and congestion early |
| Bandwidth & QoS planning | Per-interface, per-VLAN, per-protocol trending + QoS policy modeling | Capacity planning AND implementation, not just reports |
| Flow analysis | Top talkers, protocol distribution, anomalous flows | Identifies shadow IT and unauthorized services |
| Third-party vendor gear | ISP routers, MSP firewalls, carrier CPE, SD-WAN appliances | Manage equipment you depend on but don't own |
| Fleet operations | Bulk config push, firmware upgrades, compliance scanning across hundreds of devices | Manage 500 switches as easily as 5 |
| Multi-vendor normalization | Cisco, Juniper, Arista, Fortinet + 13 more platforms | One view, one language, regardless of vendor mix |
| Analysis | What It Finds | Why It Matters |
|---|---|---|
| Resource utilization | CPU, memory, storage, network per VM and per host | Right-size VMs, eliminate waste |
| Placement optimization | VM-to-host affinity, anti-affinity, DRS recommendations | Balanced clusters, better performance |
| Storage analysis | IOPS, latency, thin provisioning ratios, snapshot sprawl | Prevents storage-caused outages |
| Resource allocation | CPU, memory, storage assigned vs used per VM and per host | Right-size VMs, eliminate over-provisioning waste |
| Resource redistribution | Rebalance workloads across hosts based on utilization, affinity, and constraints | Balanced clusters without manual migration planning |
| Hardware compatibility | Validate new server hardware against existing cluster requirements before purchase | Never buy incompatible hardware again |
| Cross-platform view | VMware + Proxmox + KVM + Hyper-V + cloud in one dashboard | No more switching between consoles |
| Endpoint fleet | Workstation health, patch status, compliance across Windows/macOS/Linux | Manage the CEO's laptop and the warehouse scanner from the same console |
| Physical device tracking | POS terminals, field devices, kiosks, scanners | Every device that runs a workload, not just VMs |
| Lifecycle tracking | VM/endpoint age, patch status, last backup, owner, warranty | Eliminates orphaned assets, tracks accountability |
| Capacity planning | Growth modeling, resource exhaustion forecasting, procurement recommendations | Buy what you need before you need it, not after you're out |
| Cloud cost analysis | Instance utilization vs cost across AWS, Azure, GCP, OCI | Stop paying for idle instances |
| Analysis | What It Finds | Why It Matters |
|---|---|---|
| Backup health | Success rates, duration trends, size anomalies | Catches failures before they become data loss |
| RPO compliance | Actual recovery points vs policy targets | Proves your SLAs are met |
| Dedup analysis | Ratio trends, declining efficiency indicators | Early warning for data corruption |
| Mobile device backup | Company phone backup status, SIM contact extraction, data freshness | Company directory from phone contacts; compliance for mobile data |
| Capacity forecast | Storage growth modeling, time-to-full projections | Buy storage before you run out, not after |
| Replication lag | Cross-site replication delays, bandwidth utilization | Ensures DR site is actually current |
| Retention audit | Policy compliance, legal hold verification | Compliance proof for auditors |
| Data extraction | Business data from backup sets: contacts, configs, compliance artifacts | Backup is a data source, not just a recovery mechanism |
Individual product analysis is valuable. Correlated analysis across products is transformative. When the SDNS platform sees all four layers simultaneously, it can answer questions that no single product can:
The value of analysis is not in the data. It is in the correlations. One product sees a symptom. Four products see the cause.
The analysis capabilities described above are operational — they answer questions about infrastructure health, security posture, and capacity. But the same data, collected over time and correlated across products, becomes the foundation for business intelligence.
Per-product analysis: security audit, network health, compute optimization, backup compliance. Cross-product correlation for root cause analysis and impact assessment.
Trend analysis across months and quarters. Capacity forecasting with confidence intervals. Cost optimization recommendations. SLA tracking and reporting. Automated compliance evidence generation.
Infrastructure metrics tied to business outcomes. Cost-per-service analysis. Risk quantification in business terms. Board-ready reports that translate infrastructure state into business language. The data already exists in the platform — the BI layer makes it speak to executives, not just engineers.
This progression is natural because the SDNS platform already collects the data. Every firewall rule analyzed, every device discovered, every VM tracked, every backup verified — this operational data, accumulated over time, becomes the basis for answering business questions:
Infrastructure vendors sell products. We're building a platform that starts with operational tools and grows into business intelligence. The customer who buys a firewall today gets security analysis. The customer who deploys the full platform next year gets a BI dashboard that ties infrastructure health to business outcomes. The data was always there. The platform just learns to ask better questions over time.
All analysis stays under the customer's control. The AI engine, the analyzers, the correlation engine, and the BI layer all operate within the customer's environment, using the customer's data, without any external API calls. This is not a design constraint — it is a competitive advantage.
Customers in regulated industries cannot send infrastructure data to cloud analytics services. They cannot allow third-party AI models to process their firewall rules. They cannot share network topology with external vendors for "threat intelligence enrichment." The SDNS platform's local-first architecture means they don't have to choose between analysis and privacy. They get both.
The best analysis of your infrastructure comes from a system that sees all of it, understands all of it, and never shares any of it.
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