Snowflake Integration

Snowflake Integration Overview

Enterprise Data Warehouse Pipeline

Integrate TYCHON Quantum Readiness with Snowflake to create a comprehensive cryptographic asset data warehouse using S3 as the staging layer for automated data ingestion and advanced analytics.

📊 Data Warehouse

Store historical crypto asset data for trend analysis

🔄 Auto Ingestion

Automatic data loading from S3 using Snowpipe

📈 Advanced Analytics

SQL analytics, machine learning, and BI integration

Architecture Flow

TYCHON Quantum Readiness → S3 Bucket → Snowflake External Stage → Snowpipe → Snowflake Tables → Analytics/BI

S3 Configuration for Snowflake

1. Configure TYCHON Quantum Readiness S3 Upload

First, set up TYCHON Quantum Readiness to upload reports to S3 in JSON format for optimal Snowflake ingestion:

Windows PowerShell

.\certscanner-windows-amd64.exe -target example.com `
  -upload-s3 `
  -s3bucket your-snowflake-bucket `
  -s3region us-east-1 `
  -s3keyprefix certscanner-data `
  -output-format json

Linux

./certscanner-linux-x64 -target example.com \
  -upload-s3 \
  -s3bucket your-snowflake-bucket \
  -s3region us-east-1 \
  -s3keyprefix certscanner-data \
  -output-format json

macOS

# Intel Mac
./certscanner-darwin-amd64 -target example.com \
  -upload-s3 \
  -s3bucket your-snowflake-bucket \
  -s3region us-east-1 \
  -s3keyprefix certscanner-data \
  -output-format json

# Apple Silicon Mac
./certscanner-darwin-arm64 -target example.com \
  -upload-s3 \
  -s3bucket your-snowflake-bucket \
  -s3region us-east-1 \
  -s3keyprefix certscanner-data \
  -output-format json

📋 Important Notes

• Use JSON format for optimal Snowflake parsing
• Consistent S3 key prefix for organized data partitioning
• Host-based folder structure automatically handles enterprise scale

2. S3 Bucket Policy for Snowflake

Configure S3 bucket permissions to allow Snowflake access:

S3 Bucket Policy

{
  "Version": "2012-10-17",
  "Statement": [
    {
      "Effect": "Allow",
      "Principal": {
        "AWS": "arn:aws:iam::YOUR_SNOWFLAKE_ACCOUNT:role/snowflake-s3-access-role"
      },
      "Action": [
        "s3:GetObject",
        "s3:GetObjectVersion",
        "s3:ListBucket"
      ],
      "Resource": [
        "arn:aws:s3:::your-snowflake-bucket",
        "arn:aws:s3:::your-snowflake-bucket/certscanner-data/*"
      ]
    }
  ]
}

Snowflake Data Warehouse Setup

1. Create Database Schema

Set up the Snowflake database structure for cryptographic asset data:

Database and Schema Setup

-- Create database for cryptographic assets
CREATE DATABASE IF NOT EXISTS CRYPTO_ASSETS;

-- Create schema for TYCHON Quantum Readiness data
CREATE SCHEMA IF NOT EXISTS CRYPTO_ASSETS.CERTSCANNER;

-- Use the schema
USE SCHEMA CRYPTO_ASSETS.CERTSCANNER;

2. Create Data Tables

Define tables to store certificate and cryptographic asset information:

Certificate Scan Reports Table

CREATE TABLE IF NOT EXISTS SCAN_REPORTS (
    SCAN_ID STRING,
    SCAN_TIMESTAMP TIMESTAMP_TZ,
    SCANNING_HOST STRING,
    TARGET_HOSTS STRING,
    SCAN_TYPE STRING,
    
    -- Certificate Information
    CERTIFICATES VARIANT,
    CERTIFICATE_COUNT NUMBER,
    EXPIRED_CERTIFICATES NUMBER,
    EXPIRING_SOON_CERTIFICATES NUMBER,
    
    -- Cryptographic Analysis
    WEAK_ALGORITHMS VARIANT,
    PQC_VULNERABLE BOOLEAN,
    CRYPTO_SUMMARY VARIANT,
    
    -- File and System Data
    FILE_DATA VARIANT,
    SYSTEM_INFO VARIANT,
    
    -- Metadata
    SOFTWARE_VERSION STRING,
    S3_SOURCE_PATH STRING,
    INGESTION_TIMESTAMP TIMESTAMP_TZ DEFAULT CURRENT_TIMESTAMP()
);

3. Create S3 External Stage

Configure Snowflake to access your S3 bucket:

External Stage Configuration

-- Create external stage pointing to S3 bucket
CREATE STAGE IF NOT EXISTS CERTSCANNER_S3_STAGE
  URL = 's3://your-snowflake-bucket/certscanner-data/'
  CREDENTIALS = (
    AWS_KEY_ID = 'YOUR_AWS_ACCESS_KEY'
    AWS_SECRET_KEY = 'YOUR_AWS_SECRET_KEY'
  )
  FILE_FORMAT = (
    TYPE = 'JSON'
    STRIP_OUTER_ARRAY = TRUE
    DATE_FORMAT = 'AUTO'
    TIME_FORMAT = 'AUTO'
    TIMESTAMP_FORMAT = 'AUTO'
  );

4. Create Snowpipe for Auto-Ingestion

Set up automatic data loading when new files arrive in S3:

Snowpipe Auto-Ingestion

-- Create pipe for automatic data loading
CREATE PIPE IF NOT EXISTS CERTSCANNER_PIPE
  AUTO_INGEST = TRUE
  AS
  COPY INTO SCAN_REPORTS (
    SCAN_ID,
    SCAN_TIMESTAMP,
    SCANNING_HOST,
    TARGET_HOSTS,
    SCAN_TYPE,
    CERTIFICATES,
    CERTIFICATE_COUNT,
    EXPIRED_CERTIFICATES,
    EXPIRING_SOON_CERTIFICATES,
    WEAK_ALGORITHMS,
    PQC_VULNERABLE,
    CRYPTO_SUMMARY,
    FILE_DATA,
    SYSTEM_INFO,
    SOFTWARE_VERSION,
    S3_SOURCE_PATH
  )
  FROM (
    SELECT 
      $1:scan_id::STRING,
      $1:timestamp::TIMESTAMP_TZ,
      $1:scanning_system.hostname::STRING,
      $1:target_hosts::STRING,
      $1:scan_type::STRING,
      $1:certificates,
      ARRAY_SIZE($1:certificates),
      $1:certificate_summary.expired::NUMBER,
      $1:certificate_summary.expiring_soon::NUMBER,
      $1:weak_algorithms,
      $1:pqc_vulnerable::BOOLEAN,
      $1:crypto_summary,
      $1:file_data,
      $1:system_info,
      $1:software_version::STRING,
      METADATA$FILENAME
    FROM @CERTSCANNER_S3_STAGE
  )
  ON_ERROR = 'CONTINUE';

🔔 S3 Event Notification

Configure S3 bucket notifications to trigger Snowpipe when new files are uploaded. Get the Snowpipe SQS queue ARN with:

SHOW PIPES;

Automated Data Pipeline

Complete Pipeline Example

End-to-end automation from scanning to data warehouse:

Windows PowerShell Script

# Enterprise TYCHON Quantum Readiness to Snowflake Pipeline
# Configuration
$BucketName = "your-snowflake-bucket"
$S3Prefix = "certscanner-data"
$AWSRegion = "us-east-1"
$TargetHostsFile = "C:\etc\certscanner\targets.txt"

Write-Host "Starting TYCHON Quantum Readiness to Snowflake pipeline..."

# Scan each target and upload to S3
Get-Content $TargetHostsFile | ForEach-Object {
    $targetHost = $_.Trim()
    if ($targetHost -and !$targetHost.StartsWith("#")) {
        Write-Host "Scanning $targetHost..."
        
        .\certscanner-windows-amd64.exe `
            -target $targetHost `
            -output-format json `
            -upload-s3 `
            -s3bucket $BucketName `
            -s3region $AWSRegion `
            -s3keyprefix $S3Prefix `
            -quiet
            
        if ($LASTEXITCODE -eq 0) {
            Write-Host "✅ Successfully scanned and uploaded: $targetHost" -ForegroundColor Green
        } else {
            Write-Host "❌ Failed to scan: $targetHost" -ForegroundColor Red
        }
        
        # Brief pause between scans
        Start-Sleep -Seconds 2
    }
}

Write-Host "Pipeline completed. Data available in Snowflake in ~5 minutes."

Linux Bash Script

#!/bin/bash
# Enterprise TYCHON Quantum Readiness to Snowflake Pipeline

# Configuration
BUCKET_NAME="your-snowflake-bucket"
S3_PREFIX="certscanner-data"
AWS_REGION="us-east-1"

# Target hosts file (one host per line)
TARGET_HOSTS_FILE="/etc/certscanner/targets.txt"

echo "Starting TYCHON Quantum Readiness to Snowflake pipeline..."

# Scan each target and upload to S3
while IFS= read -r target_host; do
    echo "Scanning $target_host..."
    
    ./certscanner-linux-x64 \
        -target "$target_host" \
        -output-format json \
        -upload-s3 \
        -s3bucket "$BUCKET_NAME" \
        -s3region "$AWS_REGION" \
        -s3keyprefix "$S3_PREFIX" \
        -quiet
        
    if [ $? -eq 0 ]; then
        echo "✅ Successfully scanned and uploaded: $target_host"
    else
        echo "❌ Failed to scan: $target_host"
    fi
    
    # Brief pause between scans
    sleep 2
done < "$TARGET_HOSTS_FILE"

echo "Pipeline completed. Data available in Snowflake in ~5 minutes."

macOS Script

#!/bin/bash
# Enterprise TYCHON Quantum Readiness to Snowflake Pipeline

# Configuration
BUCKET_NAME="your-snowflake-bucket"
S3_PREFIX="certscanner-data"
AWS_REGION="us-east-1"

# Target hosts file (one host per line)
TARGET_HOSTS_FILE="/etc/certscanner/targets.txt"

# Detect Mac architecture
ARCH=$(uname -m)
if [ "$ARCH" = "arm64" ]; then
    CERTSCANNER_BINARY="./certscanner-darwin-arm64"
else
    CERTSCANNER_BINARY="./certscanner-darwin-amd64"
fi

echo "Starting TYCHON Quantum Readiness to Snowflake pipeline on $ARCH Mac..."

# Scan each target and upload to S3
while IFS= read -r target_host; do
    echo "Scanning $target_host..."
    
    $CERTSCANNER_BINARY \
        -target "$target_host" \
        -output-format json \
        -upload-s3 \
        -s3bucket "$BUCKET_NAME" \
        -s3region "$AWS_REGION" \
        -s3keyprefix "$S3_PREFIX" \
        -quiet
        
    if [ $? -eq 0 ]; then
        echo "✅ Successfully scanned and uploaded: $target_host"
    else
        echo "❌ Failed to scan: $target_host"
    fi
    
    # Brief pause between scans
    sleep 2
done < "$TARGET_HOSTS_FILE"

echo "Pipeline completed. Data available in Snowflake in ~5 minutes."

Cron Automation

Schedule regular scans for continuous monitoring:

Crontab Entry

# Run TYCHON Quantum Readiness every 6 hours, upload to S3/Snowflake
0 */6 * * * /opt/certscanner/pipeline.sh >> /var/log/certscanner-snowflake.log 2>&1

Analytics and Reporting

Certificate Expiration Analysis

Expiration Tracking Query

-- Certificate expiration analysis across all scans
SELECT 
    TARGET_HOSTS,
    CERTIFICATE_COUNT,
    EXPIRED_CERTIFICATES,
    EXPIRING_SOON_CERTIFICATES,
    SCAN_TIMESTAMP,
    SCANNING_HOST
FROM SCAN_REPORTS
WHERE SCAN_TIMESTAMP >= DATEADD('day', -30, CURRENT_TIMESTAMP())
ORDER BY EXPIRING_SOON_CERTIFICATES DESC, EXPIRED_CERTIFICATES DESC;

PQC Vulnerability Assessment

PQC Risk Analysis

-- Post-Quantum Cryptography vulnerability analysis
SELECT 
    TARGET_HOSTS,
    PQC_VULNERABLE,
    WEAK_ALGORITHMS,
    COUNT(*) as SCAN_COUNT,
    MAX(SCAN_TIMESTAMP) as LATEST_SCAN
FROM SCAN_REPORTS
WHERE SCAN_TIMESTAMP >= DATEADD('day', -7, CURRENT_TIMESTAMP())
GROUP BY TARGET_HOSTS, PQC_VULNERABLE, WEAK_ALGORITHMS
HAVING PQC_VULNERABLE = TRUE
ORDER BY LATEST_SCAN DESC;

Trending and Historical Analysis

Certificate Health Trends

-- Weekly certificate health trending
SELECT 
    DATE_TRUNC('week', SCAN_TIMESTAMP) as WEEK,
    TARGET_HOSTS,
    AVG(CERTIFICATE_COUNT) as AVG_CERTS,
    AVG(EXPIRED_CERTIFICATES) as AVG_EXPIRED,
    AVG(EXPIRING_SOON_CERTIFICATES) as AVG_EXPIRING_SOON,
    COUNT(DISTINCT SCANNING_HOST) as SCANNING_HOSTS,
    COUNT(*) as TOTAL_SCANS
FROM SCAN_REPORTS
WHERE SCAN_TIMESTAMP >= DATEADD('month', -3, CURRENT_TIMESTAMP())
GROUP BY WEEK, TARGET_HOSTS
ORDER BY WEEK DESC, AVG_EXPIRED DESC;

Best Practices

🔧 Data Management

• Partitioning: Use date-based clustering for optimal query performance
• Retention: Set up data lifecycle policies for long-term storage
• Compression: Enable automatic compression for cost optimization
• Deduplication: Use MERGE statements to handle duplicate scans

📊 Analytics Optimization

• Materialized Views: Create views for common certificate queries
• Search Optimization: Enable search optimization for text fields
• BI Integration: Connect Tableau, Power BI, or Looker
• Alerting: Set up alerts for critical certificate events

🚀 Performance Tuning

• Warehouse Sizing: Right-size compute for query workloads
• Auto-Suspend: Configure auto-suspend for cost control
• Multi-Cluster: Use multi-cluster warehouses for concurrent users
• Result Caching: Leverage Snowflake's automatic result caching

🔒 Security Considerations

• Row-Level Security: Implement RLS for multi-tenant access
• Data Masking: Mask sensitive certificate data
• Encryption: Enable end-to-end encryption
• Access Control: Use RBAC for granular permissions

Sample Analytics Queries

Enterprise Dashboard Queries

Certificate Inventory by Host

-- Certificate inventory across all scanning hosts
SELECT 
    SCANNING_HOST,
    COUNT(DISTINCT TARGET_HOSTS) as UNIQUE_TARGETS,
    SUM(CERTIFICATE_COUNT) as TOTAL_CERTIFICATES,
    SUM(EXPIRED_CERTIFICATES) as TOTAL_EXPIRED,
    MAX(SCAN_TIMESTAMP) as LAST_SCAN
FROM SCAN_REPORTS
WHERE SCAN_TIMESTAMP >= DATEADD('day', -1, CURRENT_TIMESTAMP())
GROUP BY SCANNING_HOST
ORDER BY TOTAL_EXPIRED DESC;

High-Risk Crypto Assets

-- Identify high-risk cryptographic assets
SELECT 
    TARGET_HOSTS,
    PQC_VULNERABLE,
    WEAK_ALGORITHMS,
    EXPIRED_CERTIFICATES + EXPIRING_SOON_CERTIFICATES as RISK_SCORE,
    SCAN_TIMESTAMP
FROM SCAN_REPORTS
WHERE (PQC_VULNERABLE = TRUE OR EXPIRED_CERTIFICATES > 0)
    AND SCAN_TIMESTAMP >= DATEADD('day', -7, CURRENT_TIMESTAMP())
ORDER BY RISK_SCORE DESC, SCAN_TIMESTAMP DESC;

Snowflake Integration