CYBER RISK QUANTIFICATION & MODELING

Risk Assessment

Quantify cyber risks in terms of business impact, dollars, and regulatory exposure. Lumiverse Solutions delivers comprehensive Cyber Risk Assessments using FAIR and ISO 27005 frameworks to help leadership allocate security budgets where they matter most.

FAIR & ISO 27005
Quantitative Risk Methodologies
STRIDE
Architectural Threat Modeling
Board-Ready
Financial Risk Quantification

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6 Dimensions of Enterprise Cyber Risk Assessment

Bridging the gap between technical vulnerabilities and executive business risk management.

Quantitative Risk Quantification (FAIR Framework)

Translating technical vulnerabilities into financial loss exposure ranges ($ / ₹) to guide executive cybersecurity investments.

  • Loss event frequency (LEF) estimation
  • Probable loss magnitude (PLM) calculations
  • Monte Carlo financial risk modeling

Architectural Threat Modeling (STRIDE & PASTA)

Deconstructing software and cloud architectures into data flow diagrams (DFD) to identify threats before code reaches production.

  • STRIDE threat categorization (Spoofing, Tampering, etc.)
  • Trust boundary and attack surface mapping
  • Mitigation control mapping and validation

Third-Party & Vendor Risk Management (TPRM)

Evaluating cybersecurity risks introduced by third-party SaaS vendors, suppliers, cloud providers, and contractor access.

  • Vendor security posture scoring
  • Contractual security & SLA reviews
  • Fourth-party risk & dependency tracking

Critical Asset & Data Flow Mapping

Identifying crown-jewel data assets, customer PII/SPI, intellectual property, and tracking cross-border data movements.

  • Data classification and inventory cataloging
  • DPDP Act 2023 data flow mapping
  • Database access & residency auditing

Regulatory & Legal Risk Profiling

Evaluating the financial and statutory exposure associated with non-compliance under RBI, SEBI, CERT-In, and DPDP mandates.

  • Statutory penalty exposure estimation
  • Breach notification liability assessments
  • Director and officer cyber liability analysis

Risk Treatment & Mitigation Strategy

Formulating structured risk treatment plans (Mitigate, Transfer, Accept, Avoid) backed by prioritized engineering roadmaps.

  • Enterprise Risk Register establishment
  • Cyber insurance coverage optimization
  • Residual risk executive sign-off dossiers

5-Stage Cyber Risk Assessment Lifecycle

A disciplined, data-driven framework aligned with ISO 27005 and NIST SP 800-30 guidelines.

1
STAGE 1: ASSET IDENTIFICATION & VALUATION

Crown Jewel & Scope Definition

Cataloging critical business systems, financial databases, IP, and establishing baseline monetary value.

2
STAGE 2: THREAT IDENTIFICATION & MODELING

Adversary Profiling & STRIDE

Mapping threat actors, attack vectors, and modeling system architectures for inherent vulnerabilities.

3
STAGE 3: CONTROL EFFECTIVENESS REVIEW

Defensive Safeguard Evaluation

Evaluating existing preventative, detective, and corrective controls to measure true residual vulnerability.

4
STAGE 4: RISK QUANTIFICATION & SCENARIO MODELING

Loss Probability & Financial Impact

Running Monte Carlo simulations to calculate expected annualized loss expectancy (ALE) and single loss expectancy (SLE).

5
STAGE 5: RISK TREATMENT PLAN & REPORTING

Executive Presentation & Register

Populating the enterprise risk register, defining prioritized mitigation actions, and presenting findings to the Board.

Frequently Asked Questions

Key details regarding scoping, timelines, evidence handling, and deliverables.

FAIR (Factor Analysis of Information Risk) is the international standard for quantitative cyber risk analysis. Unlike subjective 'High/Medium/Low' matrices, FAIR translates risks into understandable financial ranges (e.g., '15% annual probability of a ₹2.5 Cr loss').
We recommend conducting comprehensive risk assessments annually, as well as whenever major architectural changes, cloud migrations, or mergers and acquisitions occur.
Our quantitative risk assessments provide the actuarial data needed to determine optimal insurance limits, avoid under-insurance, and satisfy underwriters' technical prerequisite questionnaires.

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