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BrainPredict Risk: Getting Started Guide

Get up and running with BrainPredict Risk in 5 minutes. This guide covers installation, setup, and your first AI-powered risk assessment.

Prerequisites

  • Active BrainPredict Risk subscription (Starter for 1-10 licenses, Professional for 11-25 licenses, Enterprise for 26-50 licenses, or Custom for 51+ licenses)
  • API key from your BrainPredict Risk portal
  • GRC system (ServiceNow GRC, RSA Archer, MetricStream, LogicManager, Resolver, SAP GRC, Oracle GRC, IBM OpenPages, Riskonnect, or Fusion)
  • Basic knowledge of REST APIs

Step 1: Create Your Account

Sign up at brainpredict.ai/signup and choose your plan:

  • Starter (): 1-10 licenses, all 25 AI models, 100% of features, Intelligence Bus integration
  • Professional (): 11-25 licenses, all 25 AI models, 100% of features, Intelligence Bus integration
  • Enterprise (): 26-50 licenses, all 25 AI models, 100% of features, Intelligence Bus integration
  • Custom (51+ licenses): Contact sales for custom pricing, volume discounts, dedicated account manager

All plans include a Custom quote for your specific needs. Payment method required (credit card, SEPA, or bank transfer).

Step 2: Get Your API Key

Navigate to Portal → Settings → API Keys and generate a new key:

# Your API key will look like this:
bp_risk_live_1234567890abcdef1234567890abcdef

# Keep this secure - never commit to version control!

Security Best Practice: Store your API key in environment variables, not in your code.

Step 3: Install the SDK

Install the BrainPredict Risk SDK for your preferred language:

# Python
pip install brainpredict-risk

# Node.js
npm install brainpredict-risk

# Java
mvn install brainpredict-risk-java-sdk

# .NET
dotnet add package BrainPredict.Risk.SDK

Step 4: Connect Your GRC System

Connect BrainPredict Risk to your GRC platform:

from brainpredict_risk import BrainPredictRisk

client = BrainPredictRisk(
    api_key='YOUR_API_KEY',
    tenant_id='your-tenant-id'
)

# Connect to ServiceNow GRC
client.connect_grc(
    grc_type='servicenow',
    credentials={
        'instance_url': 'https://your-instance.service-now.com',
        'username': 'your-username',
        'password': 'your-password'
    }
)

print("<svg className="w-4 h-4 inline-block align-text-bottom flex-shrink-0" viewBox="0 0 24 24" fill="none" stroke="currentColor" strokeWidth="2.5" strokeLinecap="round" strokeLinejoin="round"><polyline points="20 6 9 17 4 12"/></svg> Connected to ServiceNow GRC successfully!")

Step 5: Run Your First Risk Assessment

Get AI-powered risk assessments:

# Assess cybersecurity risk
result = client.assess_risk(
    risk_type='cybersecurity',
    data={
        'asset_id': 'SERVER-001',
        'asset_type': 'production_server',
        'vulnerabilities': ['CVE-2024-1234', 'CVE-2024-5678'],
        'patch_status': 'outdated',
        'network_exposure': 'internet-facing'
    }
)

print(f"Risk Score: {result['risk_score']}")
print(f"Risk Level: {result['risk_level']}")
print(f"Recommendations: {result['recommendations']}")

# Output:
# Risk Score: 85
# Risk Level: Critical
# Recommendations: ['Immediate patching required', 'Isolate from internet', 'Enable WAF']

Step 6: Monitor Real-Time Risks

Set up real-time risk monitoring with webhooks:

# Configure webhook for critical risk alerts
client.configure_webhook(
    event_type='critical_risk_detected',
    webhook_url='https://your-app.com/webhooks/risk-alerts',
    filters={
        'risk_level': ['critical', 'high'],
        'categories': ['cybersecurity', 'compliance', 'third-party']
    }
)

print("<svg className="w-4 h-4 inline-block align-text-bottom flex-shrink-0" viewBox="0 0 24 24" fill="none" stroke="currentColor" strokeWidth="2.5" strokeLinecap="round" strokeLinejoin="round"><polyline points="20 6 9 17 4 12"/></svg> Real-time risk monitoring enabled!")

Next Steps

Need Help?

Our support team is available 24/7 to help you get started.

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