Digital state capacity as national security architecture: Kazakhstan’s civil service reform and policymaking in the data-driven age

1 Introduction

The architecture of national security in the digital age is no longer confined to defense planning, intelligence coordination, cyber protection, or emergency management. It also depends on whether ordinary public administration can make timely decisions, protect data, deliver essential services, mobilize expertise, and maintain legitimate relations with citizens during periods of uncertainty. In Kazakhstan, this question is especially visible because civil-service reform and rapid administrative digitalization have proceeded together: personnel management, public services, citizen feedback, and administrative monitoring are increasingly organized through digital infrastructures. These systems are not security institutions in the conventional sense, but failures in them can affect continuity, data protection, institutional responsiveness, and public confidence. The article therefore treats civil-service reform as security-relevant without equating routine administration with national security.

Two bodies of research help position this argument more precisely. The state-capacity literature treats capacity as more than the size of a bureaucracy: it concerns the ability of public institutions to reach society, implement collective decisions, and sustain legal and administrative capabilities over time (Mann, 1984; Soifer and vom Hau, 2008; Besley and Persson, 2009; Fukuyama, 2013). The digital-government literature, meanwhile, has moved from treating information technology mainly as an additional service channel toward examining organizational transformation, data-intensive coordination, and changing state-citizen relations (Fountain, 2001; Dunleavy et al., 2006; Janowski, 2015; Cordella and Tempini, 2015; Mergel et al., 2019; UN DESA, 2024). Bringing these literatures together shifts the question from whether Kazakhstan has digitized government to what administrative capability those systems create, where new dependencies arise, and which accountability arrangements are needed to keep that capability governable.

This article examines Kazakhstan as a case of digital-era state-capacity building. The national reports on the state of the civil service describe a trajectory from professionalization and merit-based administration toward a more explicitly human-centered, data-driven, and client-oriented model. The reports are official administrative sources, so they are used here primarily to reconstruct policy design, implementation priorities, and reported outputs; they are not treated as independent proof that reforms improved trust, fairness, resilience, or service quality. The case is relevant to the Frontiers in Political Science Research Topic on “The Future Architecture of National Security and Policymaking in the Digital Age” because it brings institutional reform, data-driven administration, algorithmic governance, and democratic accountability into the same analysis, while moving beyond a narrow cybersecurity framing.

The article makes three contributions. First, it proposes accountable digital state capacity as an analytical framework for examining how professional personnel, digital infrastructures, service delivery, and accountability safeguards jointly condition security-relevant state capacity. Second, it uses the seven-report corpus to identify administrative dependencies and failure points that matter for continuity, surge capacity, data governance, and redress, rather than to reconstruct the reform trajectory as an end in itself. Third, it places the Kazakhstan evidence in dialogue with research on algorithmic public administration, data governance, digital exclusion, cyber resilience, and institutional accountability in order to distinguish plausible security implications from outcomes that the official reports cannot independently establish.

The main argument is that Kazakhstan’s reform record reveals a reorganization of the administrative foundations on which digital-era resilience can depend: personnel systems determine how expertise is identified and deployed; service platforms shape continuity and citizen-state interaction; monitoring systems make some failures visible; and accountability arrangements determine whether data-driven administration remains contestable. These changes may strengthen state capacity, but their security value cannot be inferred from digitalization alone. It depends on how discretion is governed, how systems perform under stress, and whether citizens and civil servants can understand, challenge, and correct consequential decisions.

2 Conceptual framework

2.1 Accountable digital state capacity

State capacity is commonly understood as the ability of public institutions to implement decisions, deliver services, enforce rules, and solve collective problems, but the concept has several dimensions. Research on infrastructural power emphasizes the state’s practical ability to reach society and implement decisions through administrative organizations (Mann, 1984; Soifer and vom Hau, 2008), while political-economy accounts draw attention to investments in legal and fiscal capacity (Besley and Persson, 2009). Fukuyama (2013), in turn, places particular weight on bureaucratic capability and autonomy. This review does not attempt to measure the full range of state capacity. Its narrower concern is administrative-operational capacity: whether personnel systems, data infrastructures, service organizations, and accountability arrangements enable public institutions to act reliably, adapt when demands change, and correct consequential errors.

Recent state-capacity scholarship sharpens this delimitation. Williams (2021) cautions that capacity is best understood as bureaucratic potential rather than observed performance: implementation also depends on coordination, information, incentives, and the political and organizational context in which agencies act. Besley et al. (2022) likewise place bureaucratic personnel and the relationships among officials, political principals, citizens, and organizations at the center of contemporary state-capacity research. Suryanarayan (2024) further shows that dimensions of state capacity can develop unevenly and are themselves politically constructed, while Vaccaro (2023) demonstrates that commonly used state-capacity measures are not automatically interchangeable. Together, these arguments support the meso-level focus adopted here: the analysis asks which administrative mechanisms digital reform creates or reorganizes, rather than treating digitalization or any single administrative indicator as evidence of generalized state capacity.

The digital-governance literature provides a complementary bridge. Fountain (2001) showed that technology is enacted through institutions rather than simply imposed on them; against the New Public Management background (Hood, 1991), Dunleavy et al. (2006) described digital-era governance as a move toward reintegration, needs-based holism, and digitization; and Janowski (2015) traced an evolution from digitization toward transformation, engagement, and contextualization. Cordella and Tempini (2015) similarly caution against assuming that ICT makes bureaucracy obsolete: rules, organizational structure, and coordination remain central to reliable public-service delivery. More recent work defines digital transformation as a change in organizational practices, capabilities, and relations with users rather than technology adoption alone (Mergel et al., 2019). The OECD Digital Government Policy Framework likewise emphasizes a data-driven public sector, government as a platform, user-driven services, openness, proactiveness, and digital-by-design (OECD, 2020), while adaptive-governance research stresses learning, responsiveness, and accountability under changing conditions (Janssen and van der Voort, 2016).

Recent digital-government research similarly shifts attention from putting services online to the institutional foundations on which digital administration depends. The 2023 OECD Digital Government Index emphasizes coherent governance arrangements, resilient digital foundations, and forward-looking governance of emerging technologies as conditions for sustainable, human-centered transformation (OECD, 2024a). The OECD’s work on digital public infrastructure describes shared, secure, and interoperable systems as common foundations for broad access to public and private services (OECD, 2024b). This infrastructural perspective is important for the present framework: integration can reduce coordination costs and enable proactive services, but it also concentrates dependencies and makes interoperability, identity, access rules, continuity, and auditability questions of administrative capacity. From the citizen side, Luna et al. (2024) show that the public value of digital services includes not only convenience and cost savings but also transparency, accountability, and equity. The data/platform and service-delivery layers are therefore assessed here in terms of reliability and governability as well as adoption.

Modern research on algorithmic public administration sharpens the accountability problem. Vogl et al. (2020) describe the emergence of “algorithmic bureaucracy,” in which computational systems become embedded in administrative organization and discretion. Alon-Barkat and Busuioc (2023) show that human decision-makers may display both automation bias and selective adherence when using algorithmic advice. Grimmelikhuijsen and Meijer (2022) identify risks to input, throughput, and output legitimacy when public decisions become algorithmically mediated, while Bignami (2022) emphasizes the importance of transparency, data protection, and institutional accountability for public-sector AI (see also OECD, 2019). Data governance is therefore not a technical afterthought: trustworthy use of data depends on rules for access, quality, sharing, scrutiny, and responsibility (Janssen et al., 2020). Digitalization can also reproduce exclusion when access and digital skills are uneven (Mesa, 2023). From a resilience perspective, Skierka (2023) shows that continuity of critical digital government depends not only on technology management but also on risk-management capacity, cooperation, and legitimacy.

Nowadays’ work on automated administrative decision-making reinforces the need to distinguish the presence of a digital score from the quality of the decision process built around it. Roehl and Hansen (2024) identify both synergies and trade-offs between automation and good-governance values, including accountability, efficiency, equality, fairness, resilience, responsiveness, privacy, rule of law, and transparency. Fischer-Abaigar et al. (2024) likewise show how technical assumptions can become misaligned with the institutional and decision context in which public-sector models are used. For the Kazakhstan case, this literature functions as an accountability lens, not as evidence that E-qyzmet uses machine learning or generative AI. The official reports establish data-intensive rating and selection functions; the validity of those ratings, the weight assigned to variables, and the effectiveness of explanation and appeal remain matters for independent empirical evaluation.

The Kazakhstan literature also cautions against reading policy inputs as outcomes. Tsakalerou and Abilez (2023) identify a broader innovation paradox in which increased institutional support does not automatically translate into corresponding innovation performance. Akhmadi and Tsakalerou (2024) examine Kazakhstan’s digital transformation through a comparative regionalization and metrics framework, highlighting the importance of implementation capacity and measurable results. Makulbayeva and Sharipova (2025), using interviews, observation, and archival material on public councils, provide independent evidence that social trust and cooperation norms matter for institutional performance in Kazakhstan. Taken together, these studies reinforce a central distinction used in this article: reported modernization can indicate new administrative capability, but claims about trust, resilience, meritocracy, or democratic accountability require evidence beyond official implementation reports.

Recent independent work on Kazakhstan provides a stronger basis for triangulating the official reform narrative. The OECD Public Governance Scan of Kazakhstan recognizes substantial modernization while identifying continuing needs in policy coordination, human-resource management, innovation capacity, responsiveness, and institutional accountability (OECD, 2025). Orazgaliyeva et al. (2023) document Kazakhstan’s comparatively advanced e-government development while emphasizing that administrative efficiency depends on financial, technological, legal, and organizational conditions rather than digitization alone. From a broader institutional perspective, Knox and Orazgaliyev (2025) characterize these studies reinforce the article’s decision to treat official reports as evidence of reform activity while reserving claims about performance, legitimacy, and trust for independent evidence.

Accountable digital state capacity is not intended to replace established concepts of state capacity, digital government, or resilience. Its contribution is to bring them into a single policy-review framework and to treat accountability as a constitutive component of digital capacity rather than as an external safeguard added after deployment. Operationally, the framework asks three questions in each empirical domain: what administrative capability is being created; what resilience or security function might that capability serve; and what accountability conditions are required before that potential can be considered legitimate. The four layers described below are used both to organize the evidence and to discipline the interpretation of its security relevance.

From a security perspective, these strands converge around a broader proposition: resilience depends on whether digital systems preserve the state’s ability to act while remaining governable under stress. Monitoring may help identify service failures, but it can also expand opaque surveillance. Digital HR systems may improve the speed and scope of personnel matching, but they can introduce bias, over-standardization, or unreviewable ranking. Proactive services may reduce administrative burden, yet they rely on extensive data integration and therefore create new privacy, cybersecurity, and redress requirements. Accountable digital state capacity consequently requires technological capability and institutional constraint at the same time.

In this article, accountable digital state capacity has four layers. The first is a data and platform layer: registers, interoperability, monitoring tools, secure information systems, and the governance rules surrounding them. The second is a strategic human-resource layer: digital recruitment, skills mapping, competency assessment, and personnel mobility. The third is a service-delivery layer: electronic, proactive, accessible, and client-oriented public services, including continuity arrangements when digital channels fail. The fourth is an accountability layer: human oversight, ethical standards, auditability, explanation, appeal mechanisms, and public participation. The empirical sections use these layers to connect reported reforms to specific capacity functions and to identify the conditions under which those functions may become security-relevant (Figure 1).

The model links data/platform infrastructure, strategic HR, service delivery and accountability safeguards to resilience and security-relevant policymaking.

2.2 Analytical approach and source base

The article is designed as a Policy and Practice Review and relies on documentary analysis rather than fieldwork. The primary corpus comprises seven annual National Reports on the State of the Civil Service in the Republic of Kazakhstan, covering 2018 through 2024 and published from 2019 through 2025. Each report is listed separately in the reference list rather than being grouped under a single series entry. The reports were selected because, despite changes in format, they repeatedly document staffing, recruitment, human-resource management, training, public-service delivery, ethics, client orientation, digitalization, and debureaucratization. Publication year is used as the citation year; where the reporting period differs from the publication year, that difference is stated in the text.

In this review, the reports constitute the primary documentary data, and the evidentiary chain is made explicit by citing the part of each report used for a substantive claim. The 2019 publication covering 2018 is used for the historical baseline on professionalization and the criteria of autonomy, meritocracy, professionalism, and managerial effectiveness (Introduction and the sections on civil-service development and the current state of the civil service). The 2020 publication is used mainly for the transition toward the “hearing state,” open-government practice, and citizen responsiveness; the 2021 publication covering 2020 is used for pandemic-era digitalization and the shift toward a service-oriented, human-centered apparatus (Introduction and secs. VI–VII). The report issued in 2022, which reviews developments in 2021, is used for staffing, digital selection, ethics, and service quality (Introduction and secs. I–II and VI–VII). The 2023 report is used for staffing pressures, strategic HR, and debureaucratization (Agency for Civil Service Affairs of the Republic of Kazakhstan, 2023, secs. I-II and VI). The 2024 report is used for competence assessment, ethics, and client-oriented reform, while the 2025 report supplies the most detailed evidence on staffing shortages, E-qyzmet, proactive services, and remote service monitoring (pp. 5–6, 10–11, and 30–32). The reports are therefore used unevenly where their thematic coverage changes from year to year rather than treated as a uniform statistical panel.

The relationship between the documentary evidence and the argument is deliberately two-stage. First, a report is used to establish a reform input, administrative output, or reported outcome at a specified location in the source. Second, that observation is interpreted through the four-layer framework to identify a plausible security-relevant capacity, dependency, or safeguard. The second step is analytical rather than descriptive: a reported staffing change, digital rating, or service-monitoring result is not itself evidence that resilience, meritocracy, or trust improved. This separation between what the reports document and what the article infers from them is maintained in the empirical sections and tables.

The review followed a structured three-stage procedure. First, the seven reports were read chronologically and coded for recurring reform categories: staffing and functional redistribution; strategic HR; digital personnel systems; electronic and proactive services; service-quality control; public participation; ethics; and accountability. Second, numerical and qualitative evidence was screened for relevance to one of four security-relevant capacity functions: continuity of essential administration, mobilization of expertise, governability of data-intensive systems, and contestability/redress. Descriptive indicators were retained only when they helped establish one of those functions or an associated vulnerability; the review therefore does not reproduce a comprehensive cross-year performance dataset. Third, the retained evidence was mapped onto the four layers of accountable digital state capacity and assessed for its plausible resilience and security implications. To avoid conflating policy activity with demonstrated effects, extracted material was distinguished as reform input (legislation, plans, functions, or institutional design), administrative output (for example services digitized or violations detected), or reported outcome (for example satisfaction indicators). Security implications are analytical interpretations of these data, not causal estimates.

The documentary approach has important limitations. National reports are official policy documents and therefore reflect the state’s own categories, priorities, and performance narrative. They provide detailed administrative evidence but do not substitute for independent citizen surveys, interviews with civil servants and service users, regional comparisons, technical audits of information systems, or causal evaluation of reform outcomes. The peer-reviewed studies discussed above provide external context on innovation, digital transformation, trust, algorithmic governance, and resilience, but they do not independently validate each indicator reported in the Kazakhstan corpus. Accordingly, the article treats official figures as evidence of reported administrative activity and capacity development. Claims that reforms improve resilience, fairness, meritocracy, or public trust are stated as conditional implications unless independent evidence directly supports them.

3 Kazakhstan’s reform trajectory

3.1 From professional bureaucracy to digital administrative resilience

Kazakhstan’s civil-service reforms were initially framed around professionalization, meritocracy, autonomy, and effectiveness. The report covering 2018 presents a professional state apparatus as a condition of socioeconomic development and relates the national model to criteria associated with OECD standards, including autonomy, meritocracy, professionalism, and managerial effectiveness (Agency for Civil Service Affairs and Anti-Corruption of the Republic of Kazakhstan, 2019, Introduction and sections on civil-service development and the current state of the civil service). Later reports place greater emphasis on the “hearing state,” human-centered governance, and responsiveness. The report covering 2020, for example, frames pandemic-era digitalization alongside a service-oriented model of the state (Agency for Civil Service Affairs of the Republic of Kazakhstan, 2021, Introduction and sec. VI). Read together, the reports document a change in reform emphasis from professionalization alone toward the integration of personnel policy, service delivery, digital systems, and citizen-facing accountability. This is relevant to the framework because digital security architecture depends on professional institutions capable of using technology without surrendering judgment and responsibility to it.

Staffing evidence is relevant here because administrative resilience depends on whether critical expertise can be maintained and reallocated, not because aggregate headcount is itself a security outcome. Across the report series, authorized and actual staffing contracted through 2022 and then partially rebuilt, while later reforms increasingly emphasized redistribution of functions and the balance between managerial and executive capacity. The 2025 report states that more than 600 managerial positions were converted into executive posts and identifies sectoral staffing shortages in fields including IT, law, medicine, technical sciences, energy, and utilities (Agency for Civil Service Affairs of the Republic of Kazakhstan, 2025, pp. 5–6). Table 1 therefore summarizes only the staffing stress indicators used in the security analysis rather than reproducing the full annual staffing series. These indicators show changes in formal capacity and allocation; they do not by themselves demonstrate improved performance or resilience.

Table 1. Selected civil service capacity stress indicators used in the security analysis.

Source: Author’s synthesis of the seven national civil-service reports.

3.2 Digital human-resource management and the rise of algorithmic administrative capacity

Strategic human-resource management is one of the clearest points at which Kazakhstan’s civil-service reform intersects with the politics of technology. The report issued in 2022 records, in section II on improving the selection system, the planned modernization of E-qyzmet and automation of the competition process. The 2023 report, especially sections I–II, connects staffing imbalances and selection reform to a more systematic approach to personnel demand and strategic HR. By the 2025 report, this agenda had moved from planned modernization to a broader digital selection environment and new personnel-search functions (Agency for Civil Service Affairs of the Republic of Kazakhstan, 2022, sec. II; 2023, secs. I–II; 2025, pp. 10–11).

The 2025 report describes substantial scaling of the E-qyzmet selection environment and, more importantly for this review, a “Personnel Selection” function that supports dynamic candidate searches through a digital rating. The reported profile can draw on education, employment history, achievements, social and public activity, disciplinary or offense-related risk factors, personnel-reserve status, language skills, and work experience (Agency for Civil Service Affairs of the Republic of Kazakhstan, 2025, pp. 10–11). The security-relevant issue is therefore the growing dependence of personnel search and matching on a data-intensive ranking infrastructure, not the volume of competitions itself. The official report establishes the existence and reported design of that infrastructure but does not independently establish the fairness, validity, or resilience of the rating.

These developments create what may be called algorithmic administrative capacity: the organizational ability to search, rank, and match personnel through data-intensive tools. In principle, such systems may widen the pool of candidates visible to decision-makers, reduce some forms of informal discretion, and help identify expertise across a large bureaucracy. Their relevance to resilience lies in the possibility of locating and reallocating skills more quickly when policy demands change. However, documented system deployment does not show that meritocracy, deployment quality, or crisis performance improved. Those outcomes would require independent evaluation.

Digital HR systems also introduce new governance risks. A rating is not neutral merely because it is quantified: results depend on variable selection, weighting, data quality, missing information, and the way risk factors are interpreted. Research on human-AI interaction also warns that officials may over-rely on algorithmic advice or follow it selectively (Alon-Barkat and Busuioc, 2023), while legitimacy can be weakened when decision processes become difficult to understand or contest (Grimmelikhuijsen and Meijer, 2022). When personnel data influence career mobility, algorithmic accountability therefore becomes part of civil-service integrity. Explainability, correction rights, appeal procedures, access logs, data-protection controls, and periodic bias testing are not secondary features; they are conditions for treating digital HR capacity as accountable capacity.

The wider digital-government skills literature also suggests that digital HR capacity cannot be reduced to the availability of a selection platform. Reviewing practices across OECD governments, Burtscher et al. (2024) emphasize competence frameworks, systematic skills assessment, formal and informal learning, and evaluation of capability development as complementary elements of a digitally capable civil service. Sagarik (2024) finds that digital capabilities and digital literacy can support public-sector workforce resilience, although such relationships are context-dependent and do not establish the quality of any particular personnel algorithm. Applied to E-qyzmet, this literature suggests a distinction between visibility and capability: digital profiles may make skills more searchable, but resilience depends on whether scarce competencies are correctly identified, developed, retained, and deployable across organizations and regions. This is why the framework treats strategic HR as an organizational layer rather than as a technology feature.

3.3 Public-service digitalization, debureaucratization, and the legitimacy of the state

Public services are often treated as a social-policy or administrative-efficiency issue. In a highly digitalized administrative environment they are also relevant to resilience because citizens and organizations depend on service continuity, accurate records, and reliable channels for redress. Service failure may create administrative burden and inequality, while digital-only arrangements may exclude users with limited access or skills (Mesa, 2023). Kazakhstan’s reports document a movement from expanding electronic availability toward greater use of monitoring and proactive delivery. The security argument here is not that every service is a security function, but that widespread dependence on digital public services creates continuity and accountability requirements.

The administrative-burden literature provides a further qualification to claims about proactive and digital-by-default services. Halling and Baekgaard's (2024) systematic review shows that citizen-state interactions can impose learning, compliance, and psychological costs, even when procedures are formally simplified. Focusing specifically on digital service provision, Hegemann and Ritz (2026) show that burdens can arise from technological design, organizational arrangements, and individual circumstances such as digital literacy and access; they also stress the importance of hybrid service provision and the design of proactive services. Peeters et al. (2025) similarly argue that digital exclusion can emerge at multiple stages of government automation and therefore needs to be addressed throughout policy design and implementation. In this light, a proactive service can reduce repeated applications while simultaneously creating less visible burdens when data are wrong, eligibility rules are opaque, channels are inaccessible, or citizens lack a usable route to human assistance and redress.

Earlier reports document a broad transition from expanding electronic access toward more mature forms of service integration. For the present security analysis, channel-coverage and satisfaction statistics are treated as background rather than as a separate performance series. The more consequential development is the state’s growing operational dependence on digital service infrastructures and the resulting need for continuity, error correction, and non-digital fallback when platforms or data exchanges fail.

The 2025 report marks a further shift from channel digitization toward monitoring and proactive delivery. It records 1,360 services in the register, 92 percent of them electronic, and identifies 24 departmental plans containing 492 measures, including 15 services targeted for electronic format and 107 for proactive format. The report also describes remote monitoring of state bodies’ information systems: access had been established to 81 systems, with 44 more being connected, and the mechanism had reportedly identified more than 56,000 violations and restored the rights of 837 service recipients (Agency for Civil Service Affairs of the Republic of Kazakhstan, 2025, pp. 30–32). The figures show the operational scale of monitoring and corrective action as reported by the Agency; independent evaluation would be needed to determine their effects on service quality or trust.

This development is relevant to democratic accountability because digital monitoring can make some administrative failures traceable and can create evidence for corrective action. At the same time, extensive system access and proactive service delivery expand the state’s data-processing role. Citizens need to know when consequential decisions are automated or data-triggered, which information is used, how errors can be corrected, and where responsibility lies when a service is denied or delayed. Data-governance research stresses that trustworthy systems require scrutinizable rules for access, quality, use, and responsibility (Janssen et al., 2020). The more proactive the state becomes, the more explicit its procedures for explanation, correction, and appeal need to be.

3.4 Ethics, trust, and democratic accountability as security resources

A central theme in the Research Topic is the challenge of safeguarding democratic accountability amid increasingly complex and opaque security environments. Kazakhstan’s national reports show that accountability is addressed through several channels: ethics, personnel responsibility, public participation, service monitoring, and decentralization. These instruments are not identical, but together they show how legitimacy is being constructed as part of administrative modernization.

The report published in 2020 emphasized the “hearing state,” effective communication, open government, and public discussion of draft legal acts and budget programs in its discussion of citizen responsiveness and openness (Agency for Civil Service Affairs of the Republic of Kazakhstan, 2020, sections on open government and interaction with citizens). It also identified practical weaknesses: formal responses to citizen comments, delays in responding to appeals, insufficient updating of open data, and weak responsibility for information on open-government portals. The point is important for the present argument because it links the availability of digital channels to the administrative routines behind them. Digital openness is not simply a portal or dataset problem; it also depends on whether institutions respond, update information, and accept responsibility for errors.

Subsequent reports connect accountability with structural reform. The 2024 report, in its sections on performance and competence assessment and on ethical standards, describes KPI-based assessment, 360-degree competence assessment, and ranking for corps “B” civil servants and records a decline in disciplinary cases for offenses discrediting the civil service and violations of service ethics from 397 in 2021 to 241 in 2022 and 203 in 2023 (Agency for Civil Service Affairs of the Republic of Kazakhstan, 2024). The 2025 report adds measures concerning responsibility of political civil servants, restrictions on gambling, and continuing responsibility for misconduct committed in previous positions (Agency for Civil Service Affairs of the Republic of Kazakhstan, 2025, section on ethics and responsibility). These indicators document formal accountability mechanisms and enforcement activity; they do not establish whether ethical culture or public confidence improved.

From the perspective of national security architecture, trust is relevant because legitimate institutions are better placed to obtain cooperation and maintain authoritative communication during periods of stress. Independent research on Kazakhstan’s public councils also finds that social trust and cooperation norms are associated with institutional performance (Makulbayeva and Sharipova, 2025). That finding supports treating trust as an important governance resource, but it does not demonstrate that the civil-service reforms reviewed here caused higher trust. For this article, the more defensible claim is that digital-era security policy requires accountability arrangements capable of sustaining legality, contestability, and public confidence rather than assuming that satisfaction scores are a sufficient proxy for legitimacy.

3.5 Security implications of the Kazakhstan case

The Kazakhstan case suggests five broader implications for national security and policymaking in the digital age. First, personnel systems can function as enabling infrastructure for security-relevant administration because public institutions respond to complex risks through analysts, service managers, IT specialists, lawyers, communicators, and local officials. The 2025 report identifies staffing shortages across a wide range of sectoral divisions, including IT, law, medicine, technical sciences, energy, and utilities (Agency for Civil Service Affairs of the Republic of Kazakhstan, 2025, p. 6). The evidence therefore identifies a reported capacity gap. Whether digital HR tools successfully close that gap remains an empirical question.

Second, debureaucratization may contribute to resilience when it reduces unnecessary procedural burden and clarifies who is responsible for decisions. The decentralization and removal of functions reported in 2024 can be interpreted as attempts to shorten administrative chains and reallocate responsibility. The reports, however, do not provide a causal test of faster or better decision-making. The security-relevant implication is therefore conditional: decentralization is most likely to support resilience when common standards, interoperable data, and oversight prevent uneven implementation across agencies and regions.

Third, proactive services can be understood as a form of administrative early response because they are designed to identify eligibility or initiate action without repeated applications. This may reduce friction for users and may help maintain continuity during periods of high demand. It can also create paternalistic or opaque forms of administration if citizens cannot see why a service was triggered, refuse data use where the law permits, correct records, or appeal a decision. The relevant resilience capability is therefore paired with an equally important redress capability.

Fourth, algorithmic HR and service monitoring create new points of systemic vulnerability. A compromised personnel database or service-monitoring system could expose sensitive data, distort recruitment, or manipulate indicators. Digital public administration therefore requires cybersecurity, access controls, audit trails, contingency planning, and institutional separation between data use and oversight.

Fifth, the boundaries between administrative modernization and national security must be handled carefully. Treating all public-administration reform as security policy may over-securitize ordinary governance and weaken citizen trust. The better approach is to recognize security relevance without militarizing administrative logic. Accountable digital state capacity should strengthen democratic control, not replace it with technocratic command.

Recent public-administration research also helps specify what is meant by resilience in this argument. Li et al. (2026), in a meta-narrative review, distinguish resilience as maintenance of functioning, recovery after disruption, and adaptability to changing conditions. This distinction maps onto the article’s concern with continuity, recovery capacity, and the ability to reallocate expertise as demands change. It also prevents resilience from becoming a generic label for successful reform. A digital personnel or service system may strengthen one dimension – for example, continuity or faster recovery – while simultaneously creating new concentration, cybersecurity, or exclusion risks. The security implications identified here are therefore conditional on how these systems perform under disruption and how quickly errors can be detected, corrected, and learned from (Table 2).

Table 2. Kazakhstan’s reforms through the accountable digital state capacity framework.

Source: Author’s elaboration based on the official national civil-service reports and the analytical framework.

4 Policy and practice recommendations

The recommendations below are derived from the risks identified in the Kazakhstan case and are organized by implementation priority. Immediate measures (approximately 0–12 months) concern transparency, correction, appeal, and responsibility for data-driven HR and service decisions. Medium-term measures (approximately 12–24 months) concern resilience testing, security controls, and data governance. Skills development and public participation are ongoing requirements. For HR systems, lead responsibility should rest with the civil-service authority together with the bodies responsible for digital infrastructure and data protection; for public services, responsibility should be shared by service-owning agencies, the digital-government operator, and the relevant oversight and cybersecurity authorities. Independent audit and external participation are needed where the implementing body would otherwise be assessing its own system.

First, as an immediate priority, digital HR systems should undergo an algorithmic impact assessment before ranking functions are scaled or materially changed. The civil-service authority should document the variables used, the purpose of each variable, potential disparate effects, data-quality risks, and the boundary between automated support and human decision-making. A practical first step is a system inventory and decision map identifying where E-qyzmet scores or rankings influence recruitment, promotion, or mobility; the assessment should then be repeated after major model or data changes.

Second, E-qyzmet and similar personnel platforms should provide usable explanation, correction, and appeal mechanisms. Candidates and civil servants should be able to inspect the data used in their profiles, request correction of inaccuracies, and understand when an automated ranking materially influenced a decision. The first implementation step should be a documented appeal route with responsible officers, response deadlines, and audit logs showing who accessed or changed relevant data. Periodic external review should test whether these safeguards work in practice rather than merely exist in policy.

Third, public-service monitoring should be linked to public accountability. Service-owning bodies and the digital-government operator should publish aggregated monitoring results in a form that protects personal data while distinguishing technical failures, legal gaps, provider misconduct, and user-experience problems. A feasible first step is a quarterly public summary of violations detected, corrective actions completed, recurrence rates, and unresolved categories. This would make monitoring a learning mechanism rather than only an internal compliance tool.

Fourth, proactive public services should be designed with clear rules on lawful purpose, data minimization, retention, correction, and redress, with opt-out or consent mechanisms where legally appropriate. Before a service is converted to proactive delivery, the responsible agency should map the databases involved, identify the legal basis for each data exchange, test common error scenarios, and specify which official remains accountable when an automated trigger is wrong or incomplete.

Fifth, staffing policy should treat digital skills as a cross-cutting state-capacity requirement rather than a narrow IT staffing issue. The civil-service authority and sectoral agencies should use the reported skills shortages to identify critical role families and develop targeted recruitment and training plans for data, cybersecurity, law, policy analysis, communications, and sector-specific expertise. Progress should be measured through vacancy duration, retention, verified competency development, and regional distribution rather than training participation alone.

Sixth, resilience testing should be introduced for critical public-service systems as a medium-term operational priority. Service-owning agencies, system operators, and competent cybersecurity authorities should test whether essential functions remain available during cyber incidents, outages, data-quality failures, or sudden demand surges. Exercises should include offline fallback procedures, manual review channels, recovery-time objectives, interagency communications, and public notification. Findings should produce time-bound remediation plans and be subject to independent security review where appropriate (Table 3).

Table 3. Key risks and safeguards for digital-era civil-service and public-service reform.

Seventh, public participation should be embedded in digital reform as an ongoing form of risk detection. Citizen feedback, civil-society monitoring, accessibility testing, and user research should begin before full deployment and continue after implementation. In socially sensitive fields such as healthcare, social protection, education, licensing, migration, and local government, a practical minimum is structured user testing with groups likely to face digital barriers, publication of the main issues identified, and a documented response from the responsible agency. This helps test whether technically successful systems remain understandable, accessible, and contestable.

5 Discussion

The evidence reviewed here supports a narrower, but more defensible, conclusion than a simple claim that digitalization has improved national resilience. Kazakhstan’s official reports document a substantial reorganization of administrative infrastructure: personnel selection is becoming more data-intensive, electronic services are moving toward proactive delivery, and monitoring systems are being used to identify service violations. These are observable changes in administrative design and output. The security relevance follows from the growing dependence of state functions on these systems, not from an assumption that digitalization itself produces better outcomes.

Three tensions in the empirical record illustrate why accountability must be analyzed together with capacity. First, E-qyzmet can widen the informational basis for personnel selection, yet digital ratings can make the grounds of career decisions harder to inspect. Second, remote service monitoring can expose violations and support corrective action, yet the same monitoring expands access to administrative data and therefore raises security and governance risks. Third, proactive services can reduce repeated applications, but they shift more initiative to the state and make explanation and correction more important. These tensions correspond closely to the literature on algorithmic bureaucracy, legitimacy, and data governance (Vogl et al., 2020; Grimmelikhuijsen and Meijer, 2022; Janssen et al., 2020).

The Kazakhstan evidence also helps locate the case more clearly within the wider literature. In state-capacity terms, the reforms examined here chiefly concern infrastructural and administrative reach rather than fiscal or coercive capacity: they reorganize how the state locates personnel, coordinates information, and delivers services across organizational boundaries (Mann, 1984; Soifer and vom Hau, 2008). In digital-government terms, the trajectory is not simply a move from paper to online channels. E-qyzmet, proactive services, and remote monitoring illustrate the deeper organizational transformation and contextualization described by Fountain (2001), Janowski (2015), and Cordella and Tempini (2015). The value of the accountable digital state capacity concept is therefore narrower than a new general theory of state capacity: it makes the accountability conditions of this digitally mediated administrative reach explicit, especially where ranking, integrated data, or proactive triggers shape consequential decisions.

Read against the newer literature, the contribution can be stated more precisely. Williams (2021) and Vaccaro (2023) caution against moving too quickly from indicators of potential capacity to conclusions about performance, while Suryanarayan (2024) underscores that capacity is multidimensional and can develop unevenly. Digital-government research adds that shared infrastructure and automation can simultaneously create public value and new dependencies (OECD, 2024a, 2024b; Roehl and Hansen, 2024). The Kazakhstan evidence is therefore most useful not as a claim that digitalization has produced a uniformly stronger state, but as a documented case of how administrative capabilities, dependencies, and accountability requirements are being reorganized together.

For the special issue theme, the Kazakhstan case contributes a non-military and non-cyber-only view of national security architecture. The four-layer framework makes explicit how data infrastructure, strategic HR, service delivery, and accountability can be examined as interdependent administrative capacities. The most defensible security claim is therefore relational: as governments rely more heavily on digital administrative systems, failures of personnel allocation, data governance, service continuity, or redress can become security-relevant vulnerabilities. Conversely, well-governed systems may support resilience, but that effect should be demonstrated rather than presumed. The empirical novelty of the review therefore lies in connecting these administrative dependencies to security-relevant continuity and accountability conditions, not in reproducing the civil-service reform chronology as a stand-alone result.

The study has important limitations. It relies primarily on official national reporting and does not independently verify the technical performance of E-qyzmet or service-monitoring systems. It cannot determine whether citizens experience services as more legitimate across regions, languages, socioeconomic groups, or levels of digital literacy, and it cannot assess whether digital ratings are fair, explainable, or predictive of job performance. Cross-year indicators are also shaped by changes in reporting practice and administrative definitions. Future research should therefore combine the documentary record with interviews, administrative microdata, user surveys, regional comparisons, technical and cybersecurity audits, and independent evaluation of algorithmic decision processes. Such work is necessary to move from evidence of reform activity to evidence of outcomes.

6 Conclusion

This review’s main contribution is to show how the administrative foundations of digital-era security can be studied through the concept of accountable digital state capacity. In Kazakhstan, the official record documents the development of data-intensive personnel selection, monitored and increasingly proactive public services, functional redistribution, and formal accountability mechanisms. Examining these developments together shifts attention from specialized security institutions to the ordinary administrative systems on which policy continuity and state responsiveness increasingly depend.

The Kazakhstan case also demonstrates why administrative output should not be confused with verified public outcome. Implementation counts, electronic-service shares, violations detected, and formal ethics measures document scale and activity, but they do not by themselves prove greater meritocracy, fairness, trust, or resilience. Those effects remain to be tested with independent evidence. The value of the case is therefore not that it establishes a completed model of accountable digital government, but that it makes visible the institutional questions that arise when digital capacity becomes embedded in civil-service and service-delivery systems.

The policy challenge is to build digital systems that are not only efficient, but explainable, auditable, secure, contestable, and capable of functioning under disruption. National security in the digital age is strengthened when digital tools remain embedded in professional, legally bounded, and responsive institutions. For Kazakhstan and for other states pursuing similar reforms, the next analytical step is therefore to test whether the administrative capabilities documented in policy reports produce measurable improvements in continuity, service quality, fair decision-making, and public trust.

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Footnotes

Edited by: Ilia Murtazashvili, University of Pittsburgh, United States

Reviewed by: Aigul Kosherbayeva, Kazakhstan Institute for Strategic Studies under the President of the Republic of Kazakhstan, Kazakhstan

Mariza Tsakalerou, Nazarbayev University, Kazakhstan