Cloud Assessments

Generate security assessment reports and proposal decks from AWS, Azure, or RVTools infrastructure data.

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Assessment Methodology

How your data is protected during AI analysis and how assessment scores are calculated.

How Your Data Is Protected

When assessments use AI analysis, your data goes through a strict anonymization pipeline. Sensitive information is replaced with generic tokens before it ever leaves your environment. After the AI returns its analysis, tokens are reversed back to real values so your reports contain accurate information.

1
Your Data
Configs, resources, VMs
→
2
Anonymization
Names, IPs, secrets removed
→
3
AI Analysis
Only sees generic tokens
→
4
De-anonymization
Tokens restored to real values
→
5
Your Report
Full original data restored
Key Guarantee: The mapping table that links tokens to real values never leaves your environment. It exists only in server memory during the assessment and is discarded after the report is generated.

Network Assessment Anonymization

Character-based substitution preserving structure and length

Sensitive Field Example (Your Data) What AI Sees Method
IP Addresses 10.1.50.1 198.18.50.1 First 2 octets replaced with documentation range
Hostnames core-switch-01 zlob-ptfqze-56 Character-for-character substitution
Passwords / Secrets password MyS3cret! password JvP8zobq! Character-mapped, structure preserved
SNMP Communities community Pr1vate community Mo6sxqb Character-mapped
MAC Addresses 00:1A:2B:3C:4D:5E XX:XX:XX:XX:XX:XX Fully redacted
Usernames / Emails admin@company.com xajfk@zljmxkv.zlj Character-mapped, format preserved
Domain Names / Serial Numbers corp.acme.local zlom.xzjb.ilzxi Character-mapped

Azure Assessment Anonymization

Token-based replacement with type-specific prefixes

Sensitive Field Example (Your Data) What AI Sees
VM Names prod-web-server-01 VM-001
Tenant Name / Domain Contoso Corporation TENANT-001
Subscription Names / IDs Production-Subscription SUB-001
Resource Group Names rg-prod-eastus RG-001
IP Addresses 40.112.50.100 IP-001
User Principal Names / Emails john@contoso.com UPN-001
NSGs / Storage / Key Vaults nsg-webapp-prod NSG-001
Resource Scope Paths /subscriptions/abc-123/resourceGroups/... SCOPE-001

RVtools Assessment Anonymization

Token-based replacement for VMware infrastructure identifiers

Sensitive Field Example (Your Data) What AI Sees
VM Names DC-SQL-PROD-01 VM-001
ESXi Host Names esxi-host-rack1-01 HOST-001
Cluster / Datacenter Names Prod-Cluster-East CLUSTER-001
vCenter Server vcenter.corp.local VCENTER-001
DNS Names / Domain sqlprod.corp.local DNS-001
MAC Addresses / UUIDs 00:50:56:a1:b2:c3 MAC-001
Serial Numbers VMware-42 21 3a... SERIAL-001
File Paths / Descriptions [datastore1] DC-SQL-PROD/... PATH-001

What Stays Intact (AI Needs This for Analysis)

The following structural and configuration data is not anonymized because the AI needs it to perform accurate security analysis. None of this data identifies your organization.

Resource Types & Locations
VM, NSG, Storage Account, etc. Azure regions (eastus, westeurope). Resource categories.
Security Configuration Flags
httpsOnly, publicAccess, enableRbac, TLS versions, encryption settings. Boolean true/false values.
Numeric Metrics
CPU counts, memory sizes, disk capacity, VM counts, resource counts. Port numbers and protocols.
Security Rule Structures
NSG rule counts, inbound/outbound allow counts, RDP/SSH exposure flags. Power states, OS types, VM sizes.
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NetFlow

Flow data and top talkers. Click a chart to drill down.

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Traffic Flow Visualization

Nodes = hosts · Line width = bytes

Geographic Traffic Map

Arc width = bytes · Click country to filter

Top Flow Talkers (click to drill down)

Protocol Distribution

Bandwidth Over Time

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SNMP

Device health and metrics.

Device Health—

CPU Utilization

Memory Usage

Disk Usage

Interface Traffic

SNMP metrics

Device Metric Value OID Timestamp

Syslog

Syslog messages and alerts.

Syslog Alerts—

Syslog messages

Timestamp Device Severity Facility Message

🤖 AI-Generated Management

Review and manage AI-generated assessment rule suggestions

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