Small and medium-sized enterprises increasingly depend on digital infrastructure for e-commerce, customer communication, payment processing, supply-chain operations, cloud applications, websites, databases and internal business systems.

This dependence creates a difficult operational problem.

An SME may have firewalls, backups, antivirus, cloud infrastructure, web-application firewalls, monitoring systems and security tools, yet still lack a unified understanding of:

• whether its systems are operational;
• whether suspicious activity is occurring;
• what an alert means;
• which business process is affected;
• what response procedure should be followed;
• how a previous incident was resolved;
• how lessons learned should be preserved.

Continuous Security, Infrastructure Monitoring and AI-Assisted Operations for E-Commerce and Enterprise Infrastructure

An Integrated Wazuh–Nagios–RAGFlow Architecture with IAS-Research, KeenComputer and KeenDirect

Research and Engineering White Paper

Target Audience:
SME Owners • CTOs • CIOs • IT Managers • DevOps Engineers • Security Engineers • E-Commerce Operators • System Administrators • Researchers

Geographic Applicability:
Canada • United States • United Kingdom • India

Technology Domains:
Cybersecurity • SIEM/XDR • Infrastructure Monitoring • DevSecOps • AI/RAG • E-Commerce • Cloud • VPS • Industrial IoT • Digital Transformation

Organizations:
IAS-Research.com • KeenComputer.com • KeenDirect.com

Edition: 2026

Abstract

Small and medium-sized enterprises increasingly depend on digital infrastructure for e-commerce, customer communication, payment processing, supply-chain operations, cloud applications, websites, databases and internal business systems.

This dependence creates a difficult operational problem.

An SME may have firewalls, backups, antivirus, cloud infrastructure, web-application firewalls, monitoring systems and security tools, yet still lack a unified understanding of:

• whether its systems are operational;
• whether suspicious activity is occurring;
• what an alert means;
• which business process is affected;
• what response procedure should be followed;
• how a previous incident was resolved;
• how lessons learned should be preserved.

This paper proposes an integrated architecture combining three complementary technologies:

Nagios for infrastructure and service monitoring,

Wazuh for security monitoring, SIEM/XDR capabilities and endpoint visibility,

and RAGFlow for retrieval-augmented knowledge management and AI-assisted investigation.

Nagios provides an operational question:

Is the system working?

Wazuh provides a security question:

Is something suspicious or unsafe happening?

RAGFlow provides a knowledge question:

What does our documented organizational knowledge tell us about this situation?

The architecture adds a human decision layer:

What should we actually do?

This paper further introduces a three-organization operating model:

IAS-Research → Research, Strategy, Architecture and Innovation

KeenComputer → Engineering, Infrastructure, Security and Operations

KeenDirect → E-Commerce, Commercialization, Supply Chain and Customer Feedback

The resulting lifecycle is:

Research → Architect → Engineer → Secure → Monitor → Detect → Understand → Respond → Recover → Commercialize → Learn → Improve

The objective is not to replace human security professionals with AI. Instead, the architecture uses AI and knowledge retrieval to help SMEs make better-informed operational decisions while maintaining human control over high-impact actions.

1. Introduction

Digital transformation has changed the nature of SME infrastructure.

A modern SME may simultaneously operate:

• Linux servers;
• Windows workstations;
• VPS infrastructure;
• Docker containers;
• cloud workloads;
• Joomla;
• WordPress;
• WooCommerce;
• Magento;
• APIs;
• databases;
• CRM;
• ERP;
• payment gateways;
• shipping systems;
• DNS;
• email;
• VPN;
• firewalls;
• backup systems;
• monitoring systems;
• customer portals.

Each system creates additional dependencies.

A failure in one component can affect several business processes.

For example:

DNS | v Web Server | v Magento | +----> Database | +----> Payment Gateway | +----> Shipping API | +----> Inventory | +----> CRM | +----> Customer

A technical event can therefore become a business event.

A database outage is not merely a database problem.

It may become:

Database failure → checkout failure → lost orders → customer complaints → revenue loss.

Likewise:

Compromised CMS → malicious code → SEO spam → search-engine reputation damage → customer distrust → recovery cost.

SMEs therefore need security and operations capabilities that are connected to business processes.

2. Research Problem

Traditional SME infrastructure management frequently separates:

Availability monitoring

"Is the server online?"

from:

Security monitoring

"Is the server compromised?"

from:

Knowledge management

"What should we do about it?"

from:

Business operations

"How does this affect customers and revenue?"

This fragmentation creates an operational gap.

An organization may know that:

CPU utilization is 95%.

But it may not know:

• whether the cause is legitimate;
• whether an attack is occurring;
• whether the application is affected;
• whether the database is overloaded;
• whether a previous incident had the same pattern;
• which response procedure applies.

The proposed architecture addresses this gap.

3. Research Objective

The primary objective is to investigate an SME-oriented architecture that integrates:

1. infrastructure monitoring;
2. security monitoring;
3. AI-assisted knowledge retrieval;
4. incident response;
5. e-commerce operations;
6. business continuity;
7. continuous improvement.

The architecture is designed to be:

• modular;
• open-source friendly;
• scalable;
• container-friendly;
• suitable for VPS and cloud environments;
• applicable to e-commerce;
• applicable to industrial systems;
• suitable for SMEs with limited security personnel.

4. Research Questions

The research examines the following questions.

RQ1

How can infrastructure availability and security monitoring be combined?

RQ2

How can security alerts be connected to organizational knowledge?

RQ3

How can RAG technology assist security investigation without becoming an uncontrolled autonomous security system?

RQ4

How can SMEs implement the architecture incrementally?

RQ5

How can research, engineering, operations and e-commerce commercialization be integrated into a continuous improvement cycle?

5. Conceptual Architecture

The central architecture is:

BUSINESS SYSTEMS | +----------------+----------------+ | | | Web ERP/CRM E-Commerce | | | +----------------+----------------+ | INFRASTRUCTURE | +----------+----------+ | | Nagios Wazuh Availability Security/XDR Monitoring / SIEM | | +----------+----------+ | Security/ Operations Data | RAGFlow | Knowledge Layer | LLM | Human Operator | Response / Action | Lessons Learned | Knowledge Base

The architecture intentionally separates:

measurement

from

security analysis

from

knowledge retrieval

from

human decision-making.

6. Why Three Technologies?

6.1 Nagios

Nagios Core is an open-source infrastructure monitoring platform capable of monitoring systems, services, network infrastructure, applications and other IT components. Its plugin architecture allows monitoring to be extended to many technologies. (Nagios Open Source)

Its primary role is:

Availability and operational monitoring.

Typical questions:

• Is the server running?
• Is the website reachable?
• Is DNS working?
• Is the database available?
• Is disk space sufficient?
• Is CPU overloaded?
• Is the SSL certificate approaching expiration?
• Is network latency increasing?

7. Wazuh

Wazuh is an open-source security platform providing SIEM/XDR capabilities across endpoints and cloud workloads. Its architecture includes agents, a Wazuh server, indexer and dashboard. (Wazuh Documentation)

Wazuh supports capabilities including:

• log analysis;
• intrusion detection;
• malware detection;
• file-integrity monitoring;
• configuration assessment;
• vulnerability detection;
• security monitoring;
• regulatory/compliance-oriented monitoring.

(Wazuh Documentation)

Its primary question is:

What security events are occurring?

8. RAGFlow

RAGFlow is an open-source Retrieval-Augmented Generation engine based on deep document understanding. Its documentation describes a workflow involving document parsing, datasets and AI chat, with responses grounded in retrieved information and citations. (GitHub)

Its role in this architecture is not to replace Wazuh.

Instead:

Wazuh produces security evidence.

RAGFlow retrieves organizational knowledge.

The LLM helps interpret the evidence in context.

This distinction is fundamental.

9. The Three-Question Architecture

The complete model can therefore be summarized as:

Technology	Primary Function	Core Question
Nagios	Monitoring	Is it working?
Wazuh	Security	Is something suspicious happening?
RAGFlow	Knowledge	What does our knowledge tell us?
LLM	AI assistance	How can the evidence be explained?
Human	Governance	What should we do?

This is not a replacement model.

It is an augmentation model.

10. Nagios Infrastructure Monitoring

Nagios can monitor:

Servers

• Linux;
• Windows;
• Unix;
• virtual machines;
• VPS.

Network

• routers;
• switches;
• firewalls;
• gateways;
• VPN;
• DNS.

Applications

• web servers;
• databases;
• APIs;
• application services.

System resources

• CPU;
• memory;
• disk;
• processes;
• load;
• services.

Nagios plugins extend monitoring capabilities to databases, operating systems, applications, network devices and protocols. (Nagios Open Source)

11. E-Commerce Monitoring with Nagios

For an e-commerce environment, monitoring should move beyond:

"Is the server up?"

and include:

• website availability;
• response time;
• SSL;
• DNS;
• database;
• checkout;
• application services;
• background jobs;
• APIs;
• payment integration availability;
• shipping integration availability.

The goal is to monitor the customer journey, not merely the server.

Example:

Customer | v DNS | v HTTPS | v Magento | v Database | +---- Payment | +---- Shipping | +---- Inventory

A failure anywhere in this chain can affect revenue.

12. Wazuh Security Monitoring

Wazuh agents can collect security information from monitored systems and forward it for analysis. The Wazuh server processes events through decoders and rules, while the indexer stores information and the dashboard provides visualization and analysis. (Wazuh Documentation)

A typical SME deployment can monitor:

• VPS;
• Linux servers;
• Windows endpoints;
• Docker hosts;
• cloud workloads;
• web servers;
• databases;
• network devices;
• important applications.

Wazuh also supports agentless approaches for devices where installing an agent is not practical, including certain network devices using mechanisms such as Syslog and SSH. (Wazuh Documentation)

13. Wazuh Priority Security Controls

13.1 Authentication Monitoring

Monitor:

• failed SSH attempts;
• successful administrative logins;
• unusual authentication;
• privilege escalation;
• new accounts.

13.2 File Integrity

Monitor sensitive:

• web files;
• configuration;
• authentication files;
• system files;
• application files.

13.3 Vulnerability Management

Monitor:

• operating-system vulnerabilities;
• outdated packages;
• vulnerable applications;
• unsupported software.

13.4 Configuration Assessment

Monitor:

• insecure services;
• firewall configuration;
• SSH configuration;
• privileged accounts;
• security-policy deviations.

13.5 Malware and Intrusion

Monitor:

• suspicious processes;
• unexpected files;
• persistence;
• malicious behavior;
• indicators of compromise.

14. Combining Nagios and Wazuh

Nagios and Wazuh should not be viewed as competing systems.

They answer different questions.

Situation	Nagios	Wazuh
Server offline	Detects	May detect indirectly
CPU overloaded	Detects	Provides context where available
Failed login	Not primary	Detects
File modification	Not primary	Detects
Vulnerable package	Not primary	Detects
SSL expiration	Detects	Not primary
Web availability	Detects	Not primary
Malware indicator	Not primary	Detects
Network/service outage	Detects	May provide supporting evidence

The integration therefore provides complementary visibility.

15. RAGFlow as the Knowledge Layer

A security team generates large quantities of knowledge.

Examples:

• incident reports;
• architecture diagrams;
• runbooks;
• configuration documentation;
• vendor manuals;
• backup procedures;
• security policies;
• vulnerability advisories;
• previous investigations;
• recovery procedures.

Without structured knowledge management, this information becomes fragmented.

RAGFlow can provide a retrieval layer over approved organizational documents.

16. What Should Go into the RAG Knowledge Base?

Infrastructure

• network diagrams;
• server inventory;
• IP allocation;
• DNS architecture;
• firewall procedures;
• VPS configuration.

Security

• security policies;
• incident-response procedures;
• Wazuh rules;
• WAF procedures;
• vulnerability-management procedures;
• hardening standards.

Applications

• Magento architecture;
• Joomla procedures;
• WordPress procedures;
• database procedures;
• deployment procedures.

Operations

• backup;
• disaster recovery;
• maintenance;
• change management;
• escalation.

Historical Knowledge

• incident reports;
• root-cause analysis;
• lessons learned;
• remediation records.

17. AI-Assisted Security Investigation

A future security assistant could receive:

Wazuh Alert | v Event Context | v RAGFlow Retrieval | +---- Architecture +---- Runbook +---- Previous Incident +---- Security Policy +---- Vendor Documentation | v LLM Analysis | v Human Review

The AI might produce:

• incident summary;
• relevant historical incidents;
• relevant procedures;
• possible causes;
• recommended investigation steps;
• affected systems;
• evidence references.

The system should distinguish between:

Observed evidence

and

AI-generated interpretation.

18. Human-in-the-Loop Security

High-impact actions should remain under human control.

Examples:

• deleting files;
• disabling accounts;
• blocking IP addresses;
• shutting down servers;
• modifying firewall rules;
• restoring backups;
• changing payment configuration;
• changing DNS.

AI can recommend.

The responsible engineer decides.

This creates:

Observe → Detect → Understand → Recommend → Decide → Respond

rather than:

Observe → AI → Automatic destructive action

19. Continuous Security Loop

The complete operating model is:

OBSERVE | v Nagios | v DETECT | v Wazuh | v UNDERSTAND | v RAGFlow | v ASSIST | v LLM | v DECIDE | v Human Engineer | v RESPOND | v RECOVER | v LEARN | v Knowledge Base | v IMPROVE

This creates a continuous operational learning cycle.

20. E-Commerce Security Use Case

Consider a Magento-based SME.

Architecture:

Internet | WAF | Nginx | Magento | +----------+----------+ | | | DB Redis Search | +-------- Payment | +-------- Shipping | +-------- Inventory

Monitoring:

Nagios | Availability Performance Services SSL Network

Security:

Wazuh | Authentication File Integrity Vulnerability Logs Configuration Threat Detection

Knowledge:

RAGFlow | Magento Docs Security Policies Runbooks Incident Reports Architecture Vendor Docs

Human operations:

IT/Security Team | Investigation Containment Recovery

21. Compromised Magento Example

Suppose an attacker modifies a Magento PHP file.

The event may unfold as follows:

Step 1

Wazuh detects a file-integrity change.

Step 2

Nagios continues monitoring application availability.

Step 3

The operator examines:

• modified file;
• timestamp;
• user;
• process;
• related logs.

Step 4

RAGFlow retrieves:

• Magento security procedure;
• previous compromise report;
• backup procedure;
• incident-response playbook.

Step 5

The AI summarizes the evidence.

Step 6

The engineer validates the evidence.

Step 7

The compromised system is isolated.

Step 8

The root cause is investigated.

Step 9

The clean version is restored.

Step 10

Credentials are rotated.

Step 11

The system is patched.

Step 12

The incident is documented.

Step 13

Lessons learned are added to the knowledge base.

22. Japanese SEO and CMS Compromise

A common CMS compromise pattern involves:

• unauthorized files;
• malicious redirects;
• injected keywords;
• hidden pages;
• modified database content;
• compromised administrator accounts;
• malicious plugins/extensions;
• injected JavaScript;
• altered sitemaps.

The proposed architecture can help detect different portions of this problem.

Nagios

Detect:

• availability;
• response-time degradation;
• DNS/SSL problems;
• service failures.

Wazuh

Detect:

• file changes;
• suspicious activity;
• authentication anomalies;
• configuration changes.

RAGFlow

Provide:

• CMS recovery procedures;
• previous incident knowledge;
• vendor documentation;
• security checklists.

23. Industrial IoT Extension

The architecture can extend beyond conventional IT.

Consider:

Industrial Sensors | v Edge Gateway | v Industrial Network | v SCADA / Control | v Cloud / Data Platform

Security:

Wazuh

Monitoring:

Nagios

Engineering knowledge:

RAGFlow

AI:

LLM/Agent

Human:

Engineer / Operator

This creates an architecture applicable to:

• industrial IoT;
• manufacturing;
• energy;
• smart buildings;
• EV infrastructure;
• renewable-energy systems;
• grid-edge systems.

24. Automotive and OBD-AI Extension

The same architecture can be applied to an automotive engineering knowledge system.

Example:

Vehicle | CAN / OBD-II | Diagnostic Data | AI Agent | RAGFlow | Service Manuals | Repair Procedures | Technician

Wazuh can protect the supporting IT infrastructure.

Nagios can monitor:

• servers;
• APIs;
• databases;
• applications;
• gateways.

RAGFlow can retrieve:

• service manuals;
• DTC information;
• repair procedures;
• wiring documentation;
• engineering documentation.

This creates a broader engineering knowledge architecture.

25. Renewable Energy and Grid-Edge Extension

The architecture can also support:

• solar PV;
• battery storage;
• EV charging;
• smart inverters;
• DER;
• microgrids;
• grid-edge systems.

Example:

PV / EV / Battery | Smart Inverter | Edge Controller | Industrial Network | Cloud | AI Knowledge Platform

The knowledge layer could contain:

• equipment manuals;
• commissioning procedures;
• troubleshooting procedures;
• electrical standards;
• maintenance records;
• engineering models;
• previous failures.

This creates a common research principle:

Operational telemetry tells us what is happening; security telemetry tells us whether something is suspicious; engineering knowledge helps us understand what to do about it.

26. IAS-Research.com

IAS-Research should function as the research, strategy, architecture and innovation layer.

The role includes:

Research

• cybersecurity research;
• AI/RAG research;
• infrastructure research;
• industrial IoT research;
• e-commerce security research;
• embedded-system research.

Architecture

• reference architectures;
• security architecture;
• AI architecture;
• RAG architecture;
• edge/cloud architecture.

Innovation

• AI agents;
• RAG;
• graph RAG;
• intelligent monitoring;
• engineering knowledge systems.

Strategic Research

• technology evaluation;
• feasibility studies;
• technology roadmaps;
• SME modernization strategies.

The IAS-Research role can therefore be expressed as:

Research → Think → Architect → Validate → Innovate

27. KeenComputer.com

KeenComputer should function as the engineering, infrastructure, cybersecurity and operations layer.

Its responsibilities include:

• Linux;
• VPS;
• cloud;
• Docker;
• networking;
• firewall;
• WAF;
• DevOps;
• DevSecOps;
• Nagios;
• Wazuh;
• CMS;
• Magento;
• WordPress;
• Joomla;
• databases;
• backups;
• disaster recovery;
• monitoring;
• incident remediation.

Its role can be summarized as:

Engineer → Secure → Deploy → Monitor → Operate → Recover

28. KeenDirect.com

KeenDirect should function as the commercialization and e-commerce operating layer.

Responsibilities include:

• e-commerce;
• Magento/Hyvä;
• product management;
• payment integration;
• shipping;
• inventory;
• supply chain;
• customer acquisition;
• SEO/GEO;
• conversion;
• digital commerce.

KeenDirect provides an important feedback mechanism because the commercial environment produces real operational data.

Its role is:

Commercialize → Sell → Operate → Measure → Learn

29. Three-Organization Operating Model

Organization	Primary Role	Key Activities
IAS-Research	Research	Research, strategy, architecture, AI/RAG, innovation
KeenComputer	Engineering	Infrastructure, DevOps, security, deployment, operations
KeenDirect	Commerce	E-commerce, supply chain, customer, commercialization

The resulting lifecycle is:

IAS-Research Research | v Architecture | v KeenComputer Engineering | v Security | v Monitoring | v KeenDirect Commerce | v Customer Feedback | v Operational Data | v IAS-Research Research / Improvement

30. Research → Engineering → Commerce

This model creates three distinct but complementary functions.

IAS-Research

What should we build?

KeenComputer

How should we build and operate it securely?

KeenDirect

How does it create commercial value?

This separation helps prevent research, engineering and commercial operations from becoming disconnected activities.

31. Supply Chain Security

E-commerce security should extend beyond the website.

A modern supply chain may involve:

• manufacturers;
• distributors;
• suppliers;
• inventory systems;
• warehouses;
• payment systems;
• shipping providers;
• marketplaces;
• customers.

A compromise in a supplier API can affect the e-commerce platform.

Therefore:

Supplier | API | E-Commerce | Inventory | Order | Payment | Shipping | Customer

Monitoring and security should extend across the complete transaction chain.

32. AI-Assisted Supply Chain Operations

RAGFlow could contain:

• supplier documentation;
• product manuals;
• shipping procedures;
• procurement policies;
• product specifications;
• warranty procedures;
• historical supply-chain incidents.

AI could help answer:

• Which supplier procedure applies?
• What does the product manual specify?
• What was done during the previous shipment problem?
• Which document supports this recommendation?

Again, the AI should cite its evidence.

33. DevSecOps Integration

The architecture should eventually connect security with development.

Example:

Developer | Git | CI/CD | Security Testing | Docker | Staging | Nagios | Wazuh | Production

Security findings should flow back into:

• development;
• architecture;
• testing;
• documentation.

This transforms security from a final-stage activity into a continuous engineering function.

34. Containerized Deployment

The architecture is suitable for containerized infrastructure, although production deployment must consider resource requirements, persistence, backup and isolation.

A conceptual environment might contain:

Docker Host | +-- Nagios | +-- Wazuh | +-- Server | +-- Indexer | +-- Dashboard | +-- RAGFlow | +-- Supporting Services

Wazuh officially documents multiple deployment models, including all-in-one deployments for smaller environments and separated or clustered architectures for larger environments and higher availability requirements. (Wazuh Documentation)

RAGFlow's current quickstart documentation describes Docker-based deployment on x86 platforms and notes specific ARM64 considerations. (GitHub)

35. SME Deployment Model

A small organization should not immediately deploy a complex enterprise architecture.

Stage 1 — Small SME

VPS | Nagios Wazuh RAGFlow | Admin

Stage 2 — Growing SME

Application VPS | Monitoring VPS | Security VPS | RAGFlow Knowledge Server

Stage 3 — Larger SME

Production | Monitoring Cluster | Security Cluster | Knowledge Platform | Backup / DR

Stage 4 — Enterprise

Introduce:

• high availability;
• multiple Wazuh nodes;
• distributed monitoring;
• centralized logging;
• multiple RAG knowledge domains;
• SIEM integrations;
• SOAR/ticketing;
• cloud security;
• formal SOC processes.

Wazuh documents all-in-one, single-node and multi-node architectures corresponding to different scale and availability requirements. (Wazuh Documentation)

36. Cybersecurity Governance

Technology alone is insufficient.

The SME should establish:

Policies

• acceptable use;
• password;
• MFA;
• backup;
• incident response;
• patch management;
• access control;
• vendor management;
• data retention.

Procedures

• onboarding;
• offboarding;
• patching;
• backup;
• restoration;
• incident response;
• vulnerability remediation.

Records

• asset register;
• risk register;
• incident register;
• change register;
• backup tests;
• security reviews.

37. NIST CSF 2.0 Alignment

The architecture can be organized around the NIST CSF 2.0 functions:

CSF Function	Architecture
Govern	Management / IAS-Research
Identify	Asset inventory / risk
Protect	KeenComputer security controls
Detect	Wazuh / Nagios
Respond	IT/Security team
Recover	Backup / DR
Improve	RAGFlow + IAS-Research

NIST's Small Business Quick-Start Guide specifically provides SMBs with a starting point for cybersecurity risk management using CSF 2.0. (NIST)

NIST also describes CSF 2.0 as flexible so organizations can tailor implementation to their own missions, resources and risks. (NIST)

38. PCI DSS Considerations

For e-commerce organizations handling payment-card data, PCI DSS requirements must be considered separately.

The Wazuh/Nagios/RAGFlow architecture can support monitoring, evidence gathering and operational security.

However:

Using these tools does not by itself establish PCI DSS compliance.

The organization must determine:

• payment scope;
• cardholder-data environment;
• payment architecture;
• third-party responsibilities;
• applicable controls;
• testing requirements;
• documentation requirements.

The architecture should therefore be treated as a supporting security and operations platform.

39. AI Security and Governance

RAGFlow and LLM systems introduce new risks.

Potential risks include:

• hallucination;
• incorrect interpretation;
• outdated documentation;
• unauthorized data exposure;
• prompt injection;
• retrieval of inappropriate documents;
• excessive privileges;
• accidental disclosure of secrets.

The organization should therefore implement:

Source control

Only approved documents should enter sensitive knowledge bases.

Access control

Users should retrieve only information they are authorized to access.

Citation

AI answers should provide supporting sources where possible.

Human approval

High-risk actions require human authorization.

Auditability

AI-assisted investigations should be logged.

40. RAG Knowledge Lifecycle

The knowledge base should not become a document dump.

Use:

Create ↓ Review ↓ Approve ↓ Classify ↓ Index ↓ Retrieve ↓ Use ↓ Validate ↓ Update ↓ Archive

Every important security procedure should have:

• owner;
• version;
• review date;
• approval status.

41. Incident Knowledge Lifecycle

After every significant incident:

Capture

What happened?

Analyze

Why did it happen?

Remediate

What fixed it?

Validate

How was recovery verified?

Document

What should the organization remember?

Retrieve

Can the information be found later?

Improve

Should the procedure change?

This transforms incidents into organizational learning.

42. SME 30-Day Action Plan

Week 1 — Understand

Actions

• identify critical business systems;
• inventory servers;
• inventory applications;
• inventory administrators;
• identify Internet-facing systems;
• identify payment systems;
• identify suppliers.

Deliverables

• asset inventory;
• system map;
• ownership matrix.

Week 2 — Protect

Actions

• patch critical systems;
• review firewall rules;
• secure SSH;
• enable MFA;
• remove unnecessary accounts;
• verify backups;
• review administrative privileges.

Deliverables

• hardened baseline;
• backup report;
• administrator review.

Week 3 — Observe

Actions

Deploy Nagios for:

• servers;
• websites;
• DNS;
• SSL;
• databases;
• network;
• critical applications.

Deploy Wazuh for priority systems.

Deliverables

• monitoring dashboard;
• security dashboard;
• alerting.

Week 4 — Respond

Actions

Create:

• incident-response procedure;
• severity classification;
• escalation matrix;
• backup restoration procedure;
• compromise-recovery checklist.

Deliverables

• incident-response playbook;
• escalation list;
• recovery checklist.

43. SME 60-Day Action Plan

Days 31–45

Expand Wazuh.

Implement:

• file-integrity monitoring;
• vulnerability monitoring;
• configuration assessment;
• authentication monitoring;
• web-server log collection.

Days 46–60

Build RAGFlow knowledge base.

Import:

• architecture;
• runbooks;
• policies;
• vendor documentation;
• incident reports;
• backup procedures.

Create initial questions such as:

What is the procedure for a compromised administrator account? What should be checked when a Magento PHP file changes unexpectedly? How do we restore the production database?

44. SME 90-Day Action Plan

Days 61–75

Integrate operational knowledge.

Develop:

• alert-to-runbook workflows;
• incident templates;
• knowledge citations;
• AI investigation procedures.

Days 76–90

Conduct:

• backup restoration test;
• security incident exercise;
• vulnerability review;
• administrator review;
• architecture review;
• AI/RAG security review.

Produce:

90-Day Cybersecurity and Digital Resilience Report

45. Minimum Viable Security Architecture

For a resource-constrained SME:

Internet | Firewall | WAF | Web Server | Application | Database Monitoring: Nagios Security: Wazuh Knowledge: RAGFlow Backup: Off-site / Isolated Response: Human IT Team

This should be implemented before attempting advanced autonomous security automation.

46. SME Security Maturity Model

Level 1 — Reactive

• no centralized monitoring;
• manual backups;
• undocumented procedures.

Level 2 — Observable

• Nagios;
• basic dashboards;
• backup monitoring.

Level 3 — Security-Aware

• Wazuh;
• vulnerability management;
• file integrity;
• incident response.

Level 4 — Knowledge-Assisted

• RAGFlow;
• documented runbooks;
• AI-assisted investigation.

Level 5 — Continuous Engineering

• integrated DevSecOps;
• automated evidence collection;
• continuous improvement;
• advanced AI agents;
• mature governance.

47. SME KPI Framework

Measure:

Availability

• uptime;
• downtime;
• response time;
• service failures.

Security

• critical vulnerabilities;
• security incidents;
• failed logins;
• unauthorized changes;
• mean time to detect;
• mean time to respond.

Recovery

• backup success;
• restore success;
• RTO;
• RPO.

Knowledge

• documented incidents;
• updated runbooks;
• knowledge-base coverage;
• AI answers with citations.

Business

• e-commerce uptime;
• checkout availability;
• order-processing availability;
• payment availability;
• customer-impacting incidents.

48. Monthly Operations

Every month the SME should review:

Infrastructure

• uptime;
• CPU;
• memory;
• storage;
• network.

Security

• critical alerts;
• vulnerabilities;
• authentication;
• file changes;
• administrative accounts.

E-Commerce

• checkout;
• payment;
• shipping;
• inventory;
• APIs.

Recovery

• backup status;
• restoration tests.

Knowledge

• new incidents;
• outdated documentation;
• new procedures.

49. Quarterly Operations

Every quarter:

• test disaster recovery;
• test incident response;
• review administrator accounts;
• review suppliers;
• review exposed services;
• conduct vulnerability assessment;
• review Wazuh rules;
• review Nagios checks;
• review RAGFlow documents;
• update architecture.

50. Annual Strategic Review

Once a year:

• review cybersecurity strategy;
• review business continuity;
• review compliance requirements;
• review technology architecture;
• review cloud/VPS architecture;
• review insurance requirements;
• review third-party risk;
• review AI governance;
• update the cybersecurity roadmap.

51. Responsibilities Matrix

Activity	IAS-Research	KeenComputer	KeenDirect
Technology research	Primary	Support	Input
Security architecture	Primary	Primary implementation	Input
AI/RAG	Primary	Implementation	Business use
Infrastructure	Architecture	Primary	Consumer
Wazuh	Research/design	Primary	Consumer
Nagios	Architecture	Primary	Consumer
RAGFlow	Primary	Deployment/support	Knowledge use
E-Commerce	Strategy	Engineering	Primary
Magento	Architecture	Engineering	Operations
Supply chain	Research	Technology	Primary
Customer feedback	Analyze	Support	Primary
Incident response	Research/analysis	Primary	Business coordination
Continuous improvement	Primary	Primary	Primary

52. Unified Technology Value Chain

The complete model is:

IAS-RESEARCH Research / Strategy Architecture / AI | v KEENCOMPUTER Engineering / Security Infrastructure / DevOps | v KEENDIRECT E-Commerce / Supply Chain / Revenue | v CUSTOMER DATA | v LESSONS LEARNED | v IAS-RESEARCH

Technology platforms fit into this chain:

Nagios ↓ Observe Wazuh ↓ Detect RAGFlow ↓ Understand LLM ↓ Assist Human ↓ Decide KeenComputer ↓ Implement / Operate KeenDirect ↓ Commercialize IAS-Research ↓ Research / Improve

53. Business Value

The architecture can provide SMEs with a structured way to improve:

Resilience

Better visibility into system failures.

Security

Centralized security monitoring.

Response

Documented response procedures.

Knowledge

Reduced dependence on individual employee memory.

Recovery

Better backup and disaster-recovery discipline.

E-Commerce

Better visibility into customer-facing infrastructure.

Innovation

A foundation for AI-assisted operations.

Continuous Improvement

Incidents become organizational knowledge rather than isolated events.

54. Limitations

The architecture also has limitations.

Complexity

Three platforms introduce operational overhead.

Skills

SMEs may require external expertise.

Data Quality

Poor documentation produces poor AI retrieval.

AI Reliability

LLMs can produce incorrect interpretations.

Integration

The proposed Wazuh/Nagios/RAGFlow architecture is an integration design, not a claim that all three platforms provide a single native turnkey integration.

Connectors, APIs, log pipelines or custom middleware may be required.

Cost

Open-source software does not mean zero operational cost.

Organizations still need:

• hardware;
• cloud resources;
• storage;
• backups;
• engineering;
• maintenance;
• security expertise.

55. Recommended Implementation Principles

Principle 1

Secure before automating.

Principle 2

Monitor before optimizing.

Principle 3

Document before introducing AI.

Principle 4

Keep humans responsible for high-impact actions.

Principle 5

Treat backups as part of security.

Principle 6

Monitor business services, not only servers.

Principle 7

Use evidence rather than assumptions.

Principle 8

Turn incidents into organizational knowledge.

Principle 9

Implement incrementally.

Principle 10

Measure business impact, not just technical alerts.

56. Recommended SME Architecture

The final recommended architecture is:

BUSINESS | +-----------+-----------+ | | E-COMMERCE INTERNAL | SYSTEMS | | +-----------+-----------+ | APPLICATION LAYER | +-----------+-----------+ | | APPLICATIONS DATABASES | | +-----------+-----------+ | INFRASTRUCTURE | +------------+------------+ | | NAGIOS WAZUH Observe Detect | | +------------+------------+ | SECURITY DATA | RAGFLOW Understand | LLM Assist | HUMAN OPERATOR Decide | RESPOND | RECOVER | LEARN | KNOWLEDGE | IAS-RESEARCH | IMPROVE

57. Strategic Proposition

The central proposition of this research is:

An SME can move from fragmented IT monitoring toward a continuous security and operational-learning architecture by combining infrastructure observability, security analytics, organizational knowledge retrieval and human decision-making.

The three technology layers are:

Nagios → Observe

Wazuh → Detect

RAGFlow → Understand

The three organizational layers are:

IAS-Research → Research and Architect

KeenComputer → Engineer and Operate

KeenDirect → Commercialize and Learn

The human layer remains:

Decide and Respond.

58. Final Action Plan

An SME beginning this journey should follow:

Immediate — 0–30 Days

Identify → Protect → Backup → Monitor

1. inventory assets;
2. identify critical systems;
3. verify backups;
4. harden Internet-facing infrastructure;
5. deploy basic Nagios monitoring;
6. begin Wazuh deployment;
7. establish incident-response ownership.

Near Term — 31–60 Days

Detect → Document → Respond

8. expand Wazuh;
9. establish vulnerability monitoring;
10. configure file-integrity monitoring;
11. document incident procedures;
12. build security runbooks;
13. test restoration;
14. create initial RAGFlow knowledge base.

Medium Term — 61–90 Days

Understand → Assist → Improve

15. connect security knowledge to RAGFlow;
16. introduce AI-assisted investigation;
17. establish human approval;
18. conduct an incident exercise;
19. test disaster recovery;
20. create the 90-day security report.

Long Term — 90+ Days

Continuous Engineering

21. integrate DevSecOps;
22. improve observability;
23. expand AI knowledge;
24. integrate e-commerce operations;
25. strengthen supply-chain security;
26. develop advanced agents;
27. conduct quarterly reviews;
28. continuously update the knowledge base.

59. Conclusion

The security challenge facing SMEs is no longer simply a matter of installing antivirus software or a firewall.

Modern organizations operate interconnected digital ecosystems.

A single business transaction can cross:

DNS → CDN/WAF → Web Server → Application → Database → Payment → Shipping → Inventory → CRM → Customer.

Security must therefore be considered across the complete ecosystem.

The Wazuh–Nagios–RAGFlow architecture provides three complementary capabilities:

Nagios provides operational visibility.

Wazuh provides security visibility.

RAGFlow provides contextual organizational knowledge.

An LLM can then assist engineers in interpreting evidence and locating relevant procedures.

The human remains responsible for consequential decisions.

The organizational model extends the architecture:

IAS-Research researches, architects and innovates.

KeenComputer engineers, secures, deploys and operates.

KeenDirect commercializes, operates e-commerce and supplies customer/business feedback.

Together they create a continuous cycle:

Research → Architecture → Engineering → Security → Monitoring → Detection → Knowledge → Response → Recovery → Commerce → Feedback → Research.

For SMEs, this approach provides a practical path from reactive IT toward measurable digital resilience.

The most important objective is not deploying three particular technologies.

The objective is creating an organization that can:

See what is happening.

Detect what is abnormal.

Understand why it matters.

Respond systematically.

Recover reliably.

Learn from experience.

Continuously improve.

60. References

Wazuh

[1] Wazuh Documentation — Architecture

Wazuh documentation describes the Wazuh agent, Wazuh server, Wazuh indexer and Wazuh dashboard architecture, including all-in-one, single-node and multi-node deployment models. (Wazuh Documentation)

Wazuh Architecture Documentation

[2] Wazuh Documentation — Getting Started

Official documentation describing Wazuh as an open-source security platform providing unified XDR and SIEM capabilities. (Wazuh Documentation)

Wazuh Getting Started

[3] Wazuh Documentation — Components

Documentation covering Wazuh agents, server, indexer, dashboard, log analysis, intrusion detection, malware detection, file-integrity monitoring, configuration assessment and vulnerability detection. (Wazuh Documentation)

Wazuh Components

[4] Wazuh Installation Guide

Official deployment and installation guidance. (Wazuh Documentation)

Wazuh Installation Guide

Nagios

[5] Nagios Core

Official Nagios Core documentation and project information for open-source IT infrastructure monitoring. (Nagios Open Source)

Nagios Core

[6] Nagios Documentation

Official documentation covering monitoring of system metrics, network protocols, applications, services, servers and network infrastructure. (Nagios Open Source)

Nagios Documentation

[7] Nagios Plugins

Official plugin documentation covering monitoring of websites, servers, network devices, services, databases and system metrics. (Nagios Open Source)

Nagios Plugins

RAGFlow

[8] RAGFlow Official Documentation

RAGFlow documentation describes the platform as an open-source RAG engine based on deep document understanding. (GitHub)

RAGFlow Documentation

[9] RAGFlow GitHub

Official project repository and technical resources. (GitHub)

RAGFlow GitHub Repository

NIST Cybersecurity Framework

[10] NIST Cybersecurity Framework 2.0

NIST Cybersecurity Framework 2.0 provides a flexible structure for managing cybersecurity risk. (NIST)

NIST Cybersecurity Framework

[11] NIST SP 1300 — Cybersecurity Framework 2.0: Small Business Quick-Start Guide

This publication specifically addresses small and medium-sized businesses with modest or no cybersecurity programs and provides a starting point for cybersecurity risk management. (NIST)

NIST SP 1300

[12] NIST Small Business Cybersecurity Resources

NIST provides additional quick-start guides and resources tailored to small organizations. (NIST)

NIST Small Business Cybersecurity

61. Recommended Further References

For a production version of this research paper, the bibliography should additionally include:

• NIST Cybersecurity Framework 2.0;
• NIST SP 800-series cybersecurity publications;
• NIST AI Risk Management Framework;
• MITRE ATT&CK;
• CIS Controls;
• ISO/IEC 27001;
• ISO/IEC 27002;
• PCI DSS;
• Docker security documentation;
• Linux security documentation;
• Nginx security documentation;
• MariaDB/MySQL security documentation;
• Magento security documentation;
• WordPress security documentation;
• Joomla security documentation;
• relevant Canadian privacy and cybersecurity requirements;
• relevant U.S. privacy and cybersecurity requirements;
• relevant U.K. cybersecurity requirements;
• relevant Indian cybersecurity and data-protection requirements.

The applicable regulatory requirements depend on the SME's jurisdiction, customers, industry, contracts and data-processing activities.

62. Final Research Model

The complete research model can finally be expressed in one line:

IAS-Research → Architect → KeenComputer → Engineer → Nagios → Observe → Wazuh → Detect → RAGFlow → Understand → AI → Assist → Human → Decide → Respond → KeenDirect → Commercialize → Learn → IAS-Research → Improve.

This is the proposed foundation for a continuous security, infrastructure-monitoring, AI-assisted operations and digital-resilience architecture for SMEs and e-commerce organizations.

This version can serve as the master paper. The next logical deliverables would be a Joomla-ready article version, a 30/60/90-day SME implementation checklist, and a technical architecture diagram showing Nagios + Wazuh + RAGFlow + Magento/Joomla/WordPress + VPS/Docker + WAF.