Business Impact Analysis Data for Security Mitigation Risk Assessment

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Solution Overview

Problem

Existing information systems security solutions lack integration of business impact analysis (BIA) data, leading to unintended disruptive side effects from automated mitigation actions and a lack of differentiation between high and low risk actions, which are not tailored to individual organizational requirements.

Innovation Solution

Integration of business impact analysis data into information systems security solutions to assess the risk of security mitigation operations, using a system comprising a security solution engine, business impact engine, enrichment engine, re-assessment engine, and presentation engine to evaluate and present mitigation actions based on BIA data, enabling dynamic and configurable responses.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Speed

If automated mitigation actions are taken without BIA integration, then response speed is improved, but business disruption increases

Engineering Contradiction:
Improveresponse speedVSAvoidbusiness disruption
Core Design Contradiction:
SpeedVSObject-affected harmful factors

Solution Approach 1:

The system performs preliminary business impact analysis before executing mitigation actions. BIA data is gathered and integrated into the security system in advance, allowing the system to assess potential disruptions before taking automated actions, thus preventing excessive business disruption while maintaining fast response capability

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The system incorporates feedback loops where mitigation actions are evaluated based on their actual business impact. The system continuously monitors and reassesses security incidents and response actions, using BIA data to adjust future automated responses and minimize harmful business disruptions while maintaining effective security coverage

Inventive Principle:
Principle #23Feedback

2Ease of manufacture

If one-size-fits-all mitigation actions are applied, then implementation simplicity is improved, but adaptability to organizational requirements deteriorates

Engineering Contradiction:
Improveimplementation simplicityVSAvoidadaptability to organizational requirements
Core Design Contradiction:
Ease of manufactureVSAdaptability or versatility

Solution Approach 1:

The system applies local quality by customizing mitigation actions based on specific organizational BIA data. Each organization's critical business processes, systems, and tolerance thresholds are uniquely identified and integrated into the security response framework, allowing standardized security capabilities to be adapted to local organizational requirements and contexts

Inventive Principle:
Principle #3Local quality

3Measurement precision

If all mitigation actions are performed manually, then action precision is improved, but response time deteriorates

Engineering Contradiction:
Improveaction precisionVSAvoidresponse time
Core Design Contradiction:
Measurement precisionVSLoss of time

Solution Approach 1:

The system implements partial automation where only certain mitigation actions are automated based on their risk profiles and organizational BIA data. Low-risk, routine actions are automated for speed, while high-risk or complex actions require manual administrator approval, achieving a balance between response time and action precision through selective automation

Inventive Principle:
Principle #16Partial or excessive action

Data Source

PatentUS12412141B2Systems and methods of using business impact analysis data to assess the risk of security mitigation steps
Publication Date: 2025.09.09 ACRONIS INT
  • US12412141B2 patent drawing
  • US12412141B2 patent drawing
  • US12412141B2 patent drawing

AI summary

Systems and methods for the protection of information systems utilize business impact analysis (BIA) data to assess the risk of security mitigation operations. A detected security incident is enriched using BIA data. A proposed mitigation action and a risk of implementing the proposed mitigation action are determined using the enriched data so that an administrator user can understand the impact or risk to the business for the proposed mitigation action.