Prioritize, Measure and Quantify Cyber Security Risk ... · • Asked BRM to mitigate the next top risk in NIST low impact baseline Same 76 controls, additional targets mitigated

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Prioritize, Measure and Quantify Cyber Security Risk

CYBERSECURITY BEST PRACTICES: AUTOMATED

MODEL-BASED RISK ASSESSMENT

Dr. Nikolai Mansourov, CTO KDM Analytics

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CASE STUDYEPBIH PRODUCTION SCADA

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Case Study

• System under Assessment: SCADA – EPBIH implementation -Production level▪ Only a model is assessed, NOT the real implementation

• Selected lightweight input format - Word doc with structured tables▪ 12 tables

▪ Effort ~ 3 days (mostly to understand the details of the data flows)

• Imported the description into the Blade Risk Manager (BRM) tool▪ 30 assets

▪ 28 attacker types

▪ 1294 attacks

▪ 41 identified risks

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The architecture diagram

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Using Word document as the model

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Structured content in tables

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System Description Table

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Data Flow Table (fragment)

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External Interface Table

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Data Type Table

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Capability Table

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Imported Model

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Architecture with “real” connections

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Risk Matrix

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Risk Matrix and Risk Inventory

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Evaluated some controls

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• Raw Risk (no controls)

▪ Unmitigated Risk Value is 1694.7❑ very high risks: 1

❑ high risks: 3

❑ moderate risks: 27

❑ low risks: 5

❑ very low risks: 4

• Asked BRM to automatically suggest controls that mitigate the top risk in NIST low impact baseline

▪ 76 controls are recommended

▪ mitigated risk is 503.6❑ very high risks: 0

❑ high risks: 2

❑ moderate risks: 23

❑ low risks: 11

❑ very low risks: 4

This risk is determined onlyby the means and opportunities of the attackers given the targetswithin the system

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More controls

• Asked BRM to mitigate the next top risk in NIST low impact baseline ▪ Same 76 controls, additional targets

▪ mitigated risk is 63.4❑ very high risks: 0

❑ high risks: 0

❑ moderate risks: 6

❑ low risks: 25

❑ very low risks: 9

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This risk is a what-if scenario; given the model of the system;A possible next step might be to consider the real controls known to the system owners

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Risk Distribution after mitigation

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Conclusions

• Automated risk assessment capability is

▪ Objective

▪ Systematic

▪ Repeatable

▪ Cheap to iterate (!)

• Top-down presentation of risk (risk matrix, risk distributions) help focus on proper risk framing

• Easy to steer the tool based on your policy (e.g. adjustments of criticality and opportunities for attacks)

• Full traceability of risks all the way to the input facts

• Description of the system through Word document not ideal, but reasonably quick

▪ Better to import directly from the SCU files

▪ Easy to spot inconsistencies and re-run analysis

▪ Easy to introduce additional detail

▪ Easy to copy and paste to jumpstart next project

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QUESTIONS ?