The Cyberwrite process is based on a data-driven approach to calculate both inherent and residual risk scores, as well as the economic impact a breach may have on your business. Here is an overview of that process:
DATA COLLECTION
ONGOING AND ON-DEMAND
Carry out scalable monitoring
Automated, accurate data collection for real-time mapping of risk factors.
Combine industry and sector risk levels with company-specific data to discover the actual inherent risk.
1
INHERENT RISK ANALYSIS
BENCHMARKING AND PREDICTION OF RISK LEVELS USING 4SEEN™
Utilize the power of predictive analytics and advanced statistics to discover the inherent risk level compared to its peers.
Pinpoint the highest risk for your organization and focus on them in the inherent risk analysis.
2
ECONOMIC IMPACT ANALYSIS
EXAMINING YOUR UNIQUE ENGAGEMENT MODEL AND EXPOSURE
Predict the actual cost to your organization of a potential breach, based on historical data of the damage caused to other companies, future regulatory fines and costs of managing cyber incidents.
Calculate your potential economic exposure to enable you to prioritize actions based on what matters - your bottom line.
3
RESIDUAL RISK ANALYSIS
MERGING MODULAR NIST-BASED QUESTIONNAIRES WITH THE INHERENT RISK
360° True Risk Visibility – Combine internal and external data sources in residual risk analysis to get visibility of actual risk levels.
4
PROACTIVE MONITORING AND MITIGATION
AUTOMATED ALERTS
Automatically generate real-time alerts based on cyber intelligence and newly discovered threats, to prevent breaches before they happen.
Receive a prediction digest of risk levels to keep you up-to-date and compliant.
