CYBER RISK ASSURANCE STRUCTURES ACTUARIAL MODELLING. A DEVERBING MODULUS OF ACTUARIAL MODELLING REALMS

Written by Thomas Mutsimba, an Enterprise Risk Management Professional, endowed with advanced actuarial analysis and advanced forensic analysis©

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Cyber risk, a degenerate of cyber-attacks, is a tenet of unexpected and uncertain events perpetrated to compromise information and communications technologies paving way for foreign parties’ exploitation of information communication technology resources and related infrastructure. It is not an uncommon tenet, but it is well known in the business arena and information technology stratified structures. This article serves to demystify the assurance conundrum persisting in the markets due to the proliferation of cyber-attacks, populative in nature, deluging operating systems and applications. Boards and Governance committees are striving to bridge the gap been themselves and senior management of entities in various industries and markets of different sizes. It is not that assurance structures do not exist in most cases, but it is because of deficiencies syndromes in the modelling tenet. What is it about the modelling tenet?

It is Cyber risk actuarial modelling of assurance structures that is at the bay of exposure to dentures created by cyber-attacks. Governance management formulators stand alluminary to the perversion of datum pinned attacks meant to deform the cyber sequestrated assurance structures. I serve in this quest to demonstrate the use of actuarial modelling of assurance structures in the data governance and systems security governance tenet.

Using actuarial technics modus of the Higher order revelation this article opens an uncouth realm of cyber technics pinned actuarial modelling of assurance structures.

What is Cyber risk modelling of assurance structures?

This refers to the use of datum and sensory design of perspiratory dynamics in the cyber tenet universe of input and output fundamentals set at an actuarial formation base indexing. The actuarial formation base indexing is the technics laden listing of fundamental cyber-attack incident formation base in an algorithmically built knowledge base or repository capable of plotting psychographic analytical postures that serve to trigger population of cyber defence mechanisms. The actuarial formation base indexing can be programmed using data sensory algorithms. These data sensory algorithms are not the application developed algorithms that drive security features on applications, but they are high velocity sensory sectors nudged on data centers hosting application data and network data. The build-up or architectures of these assurance structures come in different formation mechanisms. The question that comes from world entities or organizations’ cyber environments is how to quality assure cyber reportables to Risk, Audit and Governance committees. It is not so much about the voluminous library of cyber-attacks hitting the cyber security walls, but it is about the actuarially constructed attack formation modes perspiratory dynamics in the applications and network architecture that via information security will be matrixed and risk deluging factors factorized at the attenuated effect of sensory formulatory dynamics. Here you note that the earth’s cyber security management technologies lag or are not where they are supposed to be.

In my view, nudged by the Higher order dimension effective nature of new realms of Cyber security management technologies, the earth is rotating or the cyber security fraternity is pinned on one spot, not developing, but turning are the cyber attacks’ perspired dynamics. Earth’s palaces of education and the so-called cyber astuteness institutes have no paradigm shift. I write this as a messenger wielding never seen and never heard desensitization cyber-attack realms analogies, articulating, via Higher order dimension impartation of never seen and never heard technologies.

Cyber risk Actuarial formation base indexing

Cyber risk actuarial formation base indexing as I defined earlier is an adjudicated formatic scintillating deluge of binary data programming language of indexing and looping fanatical data. This indexing tenet, built on the sacrophant tenet of cyber assurance structures modes, the modes aforesaid are as follows:

1. Indexing detention separation structures.
   
2. Data structures of cyber formatic input.
   
3. Sequestration cyber attack structural dynamic efficient formulator.
   
4. Governance-cyber assurance linkage identifier.
   
5. Objective mapping centerage of cyber assurance reportables efficiency.

Indexing Detention Separation Structures

Indexing detention separation structures is an extraction actuarial indexing sequencing of cyber attacks formatting structures. Cyber attacks formatic structures are operating system registry hive structure changes that change with changes in attack formation modes impacting the operating system critical file indexes. This indexing built on detention separation structure results in a clout of impending cyber attacks detention.  

Registry formation datum line of skewness is a deluger of asymptomatic cyber attacks formation analytics. The actuarial assurance at this stage is built on employable risk ranking data sensory methodologies.  These risk ranking data sensory methodologies are autonomous and automated at cyber attack dentures in an entity’s wholesome strategic line of security weakness.

How do you see this Strategic line of security weakness?

This Strategic line of security weakness in accumulated and built, plotted using what is known as Core modular indexing structural sequencing. The linkage to enterprise wide cyber risk is done via actuarial extrapolatory sequencing of formulatory data. Using de-jargonated analytics correlational structural strategic risk, correlated risk threats and or factors are grouped into polarized factorial lead indicators of dysfunctional business units disabled as a result of disfigured indexing structures.

Data structures of Cyber formatic input

The actuarial formation of data structures built in cyber formatic input is a gentric data sieving actuarial technic. Technicalized at a gentric phasing technic of data structures, the formatic input is a gentric cyber attack formation mode that must be extricated at a jargonation “Z-X” effect. What is this “Z-X” effect? This is a never seen and never heard algorithm linked re-arrangement technic caused through injection of looping formulas in the permeating data formatic injected input. The “Z-X” is an integer mathematical correlation efficiency measurement that is actuarially calculated, attenuated at sector of storage memory technics of data recording capabilities. The integer mathematical correlation efficiency is calculated at two factor authentication jargonate of input factorization. The integer is a set limit serialization of memory dual sector limit size of attack mode formation. I will demonstrate practical insights into background microscopic cyber-attack actuarial modelling using examples in my next issue.

Sequestration Cyber-attack Structural Dynamic Efficient Formulator

Sequestration is an actuarial modelling of cyber-attack structural formulators. These formulators are strategic risk factors, stratum factorized using threat intelligence vulnerability methodologies. But at a high-level methodology of cyber-attacks, the sectoral formulatory methods are jargonates of vulnerability topographical structures in the entity or organization.

The cyber attack and or security policy is a populative formulatory jargon index. Indexing is a technic built to phase and or sequestrate layers of defence. Layers of defence in organizations and or entities differ sequentially and in metamorphosis as the systems security environment changes. As the organization sets the cyber-attack response plans, the sequestration structural dynamic efficiency formulator identifies input serialization of modus of formation. Boards and Governance committees’ knowledge on cyber security actuarial modelling of assurance structures is built on elementary knowledge of the basics of cyber risk assurance structures. To synchronous formulate cyber risk assurance structures with a Board policy on cyber risk assurance, the dynamic efficiency formulators are a starting point. Why is that so? It is so because of the rate of development of applications that mesh with operating systems of the organizations is increasing at an unprecedented pace. The dynamic efficiency formulators are:

1. Cyber-attack efficiency index measured at a rate of input stratification identifiers of attack formation modes, known and unknown.
   
2. Strategic threats and intelligence efficiency for factorized threats and vulnerability library.
   
3. Overall net-off gentric phasing approach to actuarial cyber assurance opinion.
   
4. Data sensory indicators, a key formation technic of the overall data inspired sectors of cyber risks.
   
5. Centerage index based on strategic identifier of cyber risks.
   
6. Cyber-attacks data actuarial stratum indexed formulators partitioning.
   
7. Optimization of cyber-attacks modus actuarial screening device formulators; data sensors.

Governance-Cyber assurance linkage identifiers

The critical formulator of cyber assurance measurables is the Governance-Cyber attack linkage identifiers. These linkage identifiers serve as strategic cyber risk actuarial modelling technics. The identification component serves as a feeding channel to Board and Governance committees concerning cyber risk assurance. Determined by a number of factors strategically sapphired via strategic cyber attack assurance structures, the flow sets the linkage identifiers. Structuring the Governance-cyber attack linkage reportables will be legible or visible for the Board and Governance committees. A clear elucidation of cyber attacks pinned cyber risk assessment and modelling gives impetus to the veracity of the technic. Some of the linkage identifiers are as follows:

1. Elementary strategic imperatives formation base.
   
2. Key risk indicators of strategic imperatives.
   
3. Actuarial formulators of Cyber-attacks database hubs.
   
4. Operating systems’ registries indexed structures.
   
5. Dashboard mapping results of cyber assurance results to the Boards, Audit and Risk committees.
   
6. Gentric actuarial correlation factors.
   
7. Board strategic cyber risk matrix outlook.

Objective Mapping Centerage of Cyber Risk Assurance Reportables Efficiency

Cyber Risk assurance reportables efficiency is a tenet de-jargonated at an objective mapping technic. The technic, built on actuarial formulatory directors, is set at a technic of plotting of the centerage. The centerage is an indexed structure of data sensory monitoring capabilities. Organizations and or entities are formatted along the centerage of reportables efficiency.

How is this Cyber Risk Assurance Reportables Centerage deciphered?  

It is built at factorization of threat intelligence and vulnerabilities risk factors strategically cast across all strategic risk categories of the entity and it will postulate a datum plot of centerage of reportables efficiencies. Organizations must not engage in haphazard reporting of cyber risk assurance reportable centerage. Using actuarial technics, datum stature of an entity will not be able to decipher the skewness of vulnerabilities and or threats. The assignment of threats and or vulnerabilities factors is a deverberation of data bits values convoluted in figury number representation movement dynamics reflected in strategic movement dynamics of statistical distribution of populative capability architecture of cyber risk assurance structures over a serialized periodic value driven postures of cyber-attacks.

Factors to consider in Cyber risk assurance reportables centerage:

1. Datum formulation center partition.
   
2. Cyber-attack/risk assurance process compartment efficiency dynamics.
   
3. Factorial lead programmatic mathematical structures.
   
4. Registry Programming Analytics.
   
5. Cyber risk actuarial information data algorithms.
   
6. Centerage indexing sequencing of process compartment cyber risk.
   
7. Robust Information security centerage of deficiency factors.
   
8. Overall Board committee stratified cyber risk structural analytics.         

Disclaimer: All views expressed in this article are my own and do not represent the opinion of an entity whatsoever, with which I have been, am now, or will be affiliated with. ©