Cyber Security Risk Management - OptimEyes AI®-GD

AI Driven Next Generation Cyber GRC Accelerator

Create Your Personalized Dashboard – Free Risk Assessment

Advanced Cyber Risk Governance

How the CISO Should Be Communicating Security Needs to the C-Suite and Board

Marene Allison former CISO, Johnson & Johnson

Protecting the Brand by Maintaining Operational Resiliency and Executing Digital Transformation

Click here to learn more

Cyber Risk Quantification

Use of AI Quantification at Line Speed

Multi-level quantification processes (CRQ/RQ, RPQ, & RMQ) aligned to monetized business risk exposure to provide ALE validation.
Line-speed processing, more advanced than FAIR with faster decision-making to understand risk exposure and corresponding reputation impact.
Patented ability (more than Monte Carlo simulations) to proportionalize risk exposure across LOBs, regions and products.
Provides the ability to identify risk exposure as aligned to business risk appetite (including reference to cyber insurance, capital set-asides and the ability to absorb risk as a cost of doing business).

Download Datasheet

Cyber Risk Quantification

Use of AI Quantification at Line Speed

Multi-level quantification processes (CRQ/RQ, RPQ, & RMQ) aligned to monetized business risk exposure to provide ALE validation.
Line-speed processing, more advanced than FAIR with faster decision-making to understand risk exposure and corresponding reputation impact.
Patented ability (more than Monte Carlo simulations) to proportionalize risk exposure across LOBs, regions and products.
Provides the ability to identify risk exposure as aligned to business risk appetite (including reference to cyber insurance, capital set-asides and the ability to absorb risk as a cost of doing business).

Click here to learn more

Download Datasheet

Continuous Threat Exposure Management (CTEM)

Comprehensive Approach to Understanding Risk

Threat exposure is a critical element of the new risk-threat landscape, establishing a holistic cybersecurity risk posture in the context of doing business.
The need for continuous risk-threat AI driven compliance assessments is essential to manage the velocity of location-specific threat vector vulnerability exploits and corresponding business risk exposure.
CTEM is an essential element of continuous risk-threat (exposure) governance to maintain resiliency to risk exposure.
Near real-time risk-threat (exposure) quantified assessments with multi-layered analysis covering (including risk, prioritization and mitigation) drives a proactive and predictive understanding of the impact of cyber risk on an organization’s reputation.

Click here to learn more

Download Datasheet

Click here to learn more

Risk Based Vulnerability Management

Realization & Causation of Cyber Risk

Transitioning from a traditional approach to addressing technical risk scores to understand the impact on business risk.
Addressing cause and effect from legacy cyber risk methodologies to create AI driven risk exposure metrics to understand operational resiliency.
Risk scenario planning/visualization supports business risk mitigation decision-making.
The use of AI driven CTEM within our Integrated Risk Modelling & Decisioning Platform® enables effective management of vulnerabilities, protecting business reputation and operational stability.

Download Datasheet

Risk Based Vulnerability Management

Realization & Causation of Cyber Risk

Transitioning from a traditional approach to addressing technical risk scores to understand the impact on business risk.
Addressing cause and effect from legacy cyber risk methodologies to create AI driven risk exposure metrics to understand operational resiliency.
Risk scenario planning/visualization supports business risk mitigation decision-making.
The use of AI driven CTEM within our Integrated Risk Modelling & Decisioning Platform® enables effective management of vulnerabilities, protecting business reputation and operational stability.

Click here to learn more

Download Datasheet

Maturity Models

Leverage Control Effectiveness

Control effectiveness measurement is an essential element to track and monitor cyber risk program maturity, to show current and desired maturity position.
AI driven maturity modeling measures levels of compliance with regulatory requirements and supports compliance risk prioritization.
Establishing and monitoring cyber risk program goals using maturity models, enables continuous improvement and reduction in overall risk exposure.
Maturity model visualization provides essential risk management insights to multiple stakeholders within an organization.

Click here to learn more

Download Datasheet

Explore Our Other Risk Models

TTEM™

Compliance

Data Privacy

ESG

See for Yourself

Learn how leading brands can use RiskOpsAI™ to help achieve their Business Goals

RiskOpsAI™ CXO Speaker Series with Joachim Fritschi, CISO, Global Logistics Company

Solving the Data Dilemma with RiskOpsAI™ Continuous Compliance Automation

RiskOpsAI™ CXO Speaker Series with Saira Mohammed, Chief Security Advisor, Microsoft

×

×

×

×

End Chat