Dexcent IDS

Cyber Security Assessment

iAMP’s Cyber Security Maturity/Posture assessments and planning activities help our clients better understand real potential cyber threat impacts to their specific environment and enable them to plan for remediation and implementing operational resiliency (detect, protect, response) capabilities custom build to safeguard environment against cyber-attacks.

Benefits

Gaps and Weakness Identifications, followed with tangible remediation recommendations : Leads to understanding weaknesses to conform or comply with regulations or good practices to improve Cyber Security Resilience.

Enhance Cyber Security Capabilities and reduce Cyber Security Risk : Implementing the Dexcent recommendations from the assessment will improve your cyber resiliency posture, reducing cyber security risk, and enable proactive defense and response to cyber security threats and incidents in your organization.

Cyber Security Assessments provide valuable baseline inputs for further Cyber Risk Quantification analysis : Leveraging the Cyber Risk posture assessment outputs to perform further Cyber Risk Quantification can help with defining and understanding the financial impact of cyber risk mitigation strategies and help qualifying the cost of select specific controls implementation, risks acceptance, or risk transfer to Cyber Insurance.

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Table of Content

1. Purpose
1.1. Purpose and Goals
1.2. Why The Industrial DataOps Process Is Needed?
1.3. Industrial DataOps Practitioner Engagement
1.3.1. Oversee An Existing Industrial DataOps Program
1.3.2. High Data Secrecy Organizations
1.3.3. Full Engagement
1.4. Principles
1.4.1. Know Your Data
1.4.2. Curate Your Data
1.4.3. Unify Your Data
1.4.4. Analyze Your Data
1.4.5. Hardware, Software, and People Working Together
1.5. Lifecycle
2. Intention
2.1. Scope
2.2. Assumptions
3. Terminology & References
3.1. Definitions
3.2. Acronyms and Abbreviations
3.3. Industry References, Standards, Regulations and Guidelines
3.4. Site Related References, Standards, Regulations and Guidelines
4. Expectations and Responsibilities
4.1. Roles
4.2. Role Job Description
4.3. Role Assignment
5. Opportunity Identification
5.1. Need Initiated
5.2. Improvement Initiated
6.Discovery
7. Baselining
7.1. Data Rationalization
7.2. Data Justification
7.3. Data Impact
7.4. Data Flow
7.4.1. Data Producer
7.4.2. Data Path
7.4.3. Data Consumer
7.5. Data Good State
7.5.1. Failure Conditions
7.5.2. Warning Conditions
7.5.3. Abnormal Conditions
7.6. Data Processing Team
8. Target Confidence Factors
9. Critical Success Factors
10. Risk Analysis / Mitigation Plan
10.1. Risk Analysis
10.2. Mitigation Plan
11. Technology Selection
11.1. Hardware
11.2. Software
11.3. People
12. Project Execution
12.1. Project Synergy
12.2. Project Synergy
12.3. Resource Acquisition
12.4. Scheduling
12.5. Implementation
12.6. Training
12.7. Maintenance
12.8. Contingency
13. Evaluation Vs Baseline
14. Calibration & Sustainment
14.1. Training
14.2. Maintenance
14.3. Obsolescence
15. Continuous Improvement Process
15.1. Continuous Process Documentation
15.2. Audit
16. Management Of Change (MOC)
16.1. Applicability
16.2. Methodology