KSA Cybersecurity Awareness Survey

Region:Middle East

Author(s):Geetanshi Chugh

Product Code:KR1545

Published On

October 2025

Total pages

90

About the Report

Survey Overview 

Ken Research executed the KSA Cybersecurity Survey, targeting IT and technical software professionals. Respondents were screened to an expected ~10–12% incidence and completed a structured online questionnaire under voluntary, anonymous participation—ensuring role-fit across small, mid-sized, and large organizations. 

Fieldwork ran December 2024–January 2025. After rigorous noise-filtration and quality checks, N=300 validated responses were analyzed, yielding clear trends, gaps, and actionable insights on cybersecurity awareness and behaviors to inform training, policy, and investment decisions. 

Survey Analysis 

General Cybersecurity Awareness 

Staff awareness  

Cybersecurity awareness clearly improves with organization size. Smaller firms cluster at the low end of the awareness spectrum, mid-sized companies mostly sit in the “moderate” band, and large enterprises show the highest shares of “high” and “very high.” The pattern suggests that scale brings more structured policies, training cadence, and leadership attention to security behavior. 

Incidents in the last 12 months  

Smaller organizations mostly report only a handful of phishing incidents each month—either because detection/reporting is weak or exposure is genuinely lower—while midsize and large firms acknowledge more activity. Across the sample, a sizeable minority still self-rates awareness as “low/very low,” underscoring the need for cross-sector nudges on reporting discipline and basic hygiene. 

Common threats  

Phishing dominates, with roughly 223 instances logged across company sizes, signaling the need for stronger email defenses and user training. Ransomware is the runner-up and bites hardest in big firms, with about 85 cases among organizations with more than 500 employees—pointing to gaps in endpoint protection and backup rigor at scale.

market overviews

Phishing Awareness 

Phishing identification rates 

In very small firms, phishing detection is weakest: roughly 70% of employees sit in the 0–25% correct-identification band, signaling thin training. Performance rises with scale; large enterprises typically enable about half to nearly three-fifths of staff to spot attempts, aided by structured simulations, centralized tooling, and recurring coaching rhythms that institutionalize response. 

Policy for reporting phishing 

Reporting discipline strengthens with organizational maturity. Many small businesses still lack a formal escalation path, creating blind spots and slower containment. Mid-market firms increasingly codify procedures into handbooks and ticketing workflows, while large organizations embed reporting into onboarding, automation, and manager reminders—shortening response cycles and enabling trend analysis that directs targeted awareness interventions where lapses persist. 

Monthly phishing reports  

Reported volumes mirror detection culture more than absolute risk. Very small companies rarely log many incidents, reflecting under-detection or hesitancy to escalate. Mid-sized organizations show a healthier spread as controls and norms mature. The largest enterprises report the most, driven by stronger monitoring, frequent simulations, and a no-blame culture that encourages immediate employee escalation and disciplined follow-through. 

Ransomware 

Ransomware exposure 

Large enterprises appear prime targets: roughly 89% of organizations with >500 employees report having been victims of ransomware, versus about 45% among mid-sized firms (50–500). Smaller firms (<50) report far fewer incidents, but the mix suggests both scale and data value make bigger companies disproportionately attractive to attackers. 

Readiness gap: response & recovery planning 

Preparedness is uneven. Many organizations—especially small and mid-sized—still lack formal ransomware playbooks, coordinated roles, or tested escalation paths. By contrast, large enterprises typically institutionalize plans, tabletop drills, and vendor contracts, shortening decision cycles and enabling faster containment, forensics, and restoration when breaches occur. 

Recovery confidence and resilience 

Confidence in recovering data without paying ransom tracks maturity. Smaller firms commonly express low assurance, reflecting limited backups, fragmented tooling, and scarce expertise. Mid-sized organizations sit at moderate or mixed confidence. Larger enterprises report moderate-to-high confidence, supported by layered backups, immutable storage, and regularly validated disaster-recovery procedures. 

market overviews  

AI in Cybersecurity 

AI adoption level 

AI is becoming mainstream in cybersecurity, with around 59% of surveyed organizations using AI tools. Uptake rises sharply with scale—nearly 84% of large enterprises report deployment, versus far fewer small firms—indicating budget, data availability, and tooling maturity concentrate in bigger setups, widening the capability gap unless SMB-friendly solutions emerge. 

Where AI helps most 

Where AI adds most value is improving people and prevention. Organizations prioritize employee training and awareness as the most effective application, using AI to personalize content, automate phishing simulations, and flag risky behavior. Threat detection and risk analysis follow, with AI surfacing anomalies and exposure paths faster than manual SOC workflows. 

Anxiety about adversarial AI  

Concern about adversarial AI is highest in large enterprises. Leaders anticipate AI-powered phishing, deepfakes, and automated reconnaissance raising attack speed and credibility, stretching human review. Many are responding with governance guardrails, red-team exercises, and user education, but smaller firms still juggle tooling complexity and budgets, risking slower preparedness against evolving attacker playbooks. 

market overviews  

Cybersecurity Skill 

In-house Expertise for Threats 

Cybersecurity capability concentrates with size. Small firms often lack dedicated specialists and broad coverage, while midsize players are mixed. Large enterprises centralize blue-team functions, run defined playbooks, and embed security in engineering—making them tougher targets but also more process-dependent during fast-moving incidents. 

Primary Source of Expertise 

Sourcing shifts as organizations grow: around 79% of sub-50 firms rely on external providers versus roughly 24% among 500+ companies. Conversely, internal teams dominate in large enterprises, reflecting bigger budgets, compliance demands, and the need to retain institutional knowledge. 

Cybersecurity Training Frequency 

Quarterly programs remain rare, with small businesses least likely to train—creating persistent behavior gaps. Midsize and large firms do better but still underinvest in scenario-based refreshers. Without rhythm and reinforcement, phishing resilience, incident handoffs, and zero-day readiness degrade regardless of tooling or headcount. 

Most Lacking Security Skills 

The hardest capabilities to staff are advanced: AI/ML for threat detection/response, followed by cloud security. Around one-third of respondents highlight AI/ML gaps and roughly one-quarter cite cloud security shortfalls in the 4th image—pointing to fast-evolving stacks and limited practitioner supply that require role-based curricula and selective partner support. 

market overviews 

Policy and Investment 

Local Data Policy Compliance 

Larger organizations lean toward strict local compliance due to audits, operational risk, and sensitive data. Smaller firms prefer flexibility with global data centers, likely for scalability, cost efficiency, and lighter regulatory overheads. 

Cybersecurity Budget Allocation 

Budgets scale with size: around 70% of large organizations allocate ?13% or more of IT spend to cybersecurity, while roughly 66% of small firms keep it under 10%, signaling potential protection gaps and weaker defenses. 

Policy Review Frequency 

Most organizations update cybersecurity policies annually, indicating a “once-a-year” rhythm. Smaller companies rely heavily on annual reviews, which may lag fast-moving threats, while larger firms show stronger governance cultures around periodic reviews. 

Adoption Challenges 

Top hurdles differ by size: around 61% of large enterprises struggle to keep up with evolving threats, whereas mid-sized firms report nearly 40% insufficient expertise. Small firms frequently cite low awareness and budget limits. 

market overviews 

Table of Contents

Table of Contents

1. Executive Summary

1.1 Key Objectives of the Survey
1.2 Target Audience and Methodology Overview
1.3 Major Findings and Strategic Implications

2. Survey Overview

2.1 Purpose and Objectives
2.2 Target Respondent Profile
2.3 Screening and Participation Criteria
2.4 Fieldwork Duration and Data Validation
2.5 Analytical Framework

3. Survey Analysis

3.1 General Cybersecurity Awareness

3.1.1 Staff Awareness by Organization Size
3.1.2 Reported Incidents in the Last 12 Months
3.1.3 Common Cyber Threats (Phishing, Ransomware, Others)

3.2 Phishing Awareness

3.2.1 Phishing Identification Rates Across Company Sizes
3.2.2 Policy and Processes for Reporting Phishing
3.2.3 Monthly Phishing Report Trends

3.3 Ransomware Exposure and Resilience

3.3.1 Ransomware Exposure by Company Size
3.3.2 Response and Recovery Planning Gaps
3.3.3 Data Recovery Confidence and Resilience

3.4 AI in Cybersecurity

3.4.1 AI Adoption Levels and Deployment by Organization Size
3.4.2 Key Use Cases and Value Areas
3.4.3 Concerns Around Adversarial AI and Preparedness

3.5 Cybersecurity Skill Landscape

3.5.1 In-house Expertise for Threat Detection and Response
3.5.2 Primary Source of Cybersecurity Expertise (Internal vs External)
3.5.3 Training Frequency and Behavioral Gaps
3.5.4 Most Lacking Security Skills (AI/ML, Cloud Security, etc.)

3.6 Policy and Investment Patterns

3.6.1 Local Data Policy Compliance Practices
3.6.2 Cybersecurity Budget Allocation by Organization Size
3.6.3 Policy Review Frequency and Governance Rhythm
3.6.4 Top Adoption Challenges and Barriers

4. Research Methodology

4.1 Team Training and Engagement Protocols
4.2 Sampling Design and Anonymity Assurance
4.3 Follow-ups for Deep Insights
4.4 Data Quality and Validation Controls
4.5 Analytical Tools and Interpretation Approach

5. Key Insights and Recommendations

5.1 Strategic Gaps Identified
5.2 Sector-Specific Awareness Needs
5.3 Recommended Actions for Policymakers and Enterprises
5.4 Implications for Cybersecurity Vendors and Training Providers

Research Methodology

Research Methodology  

  • Team Training & Protocol 
    Surveyors were trained on engagement protocols for Tech Heads, Managers, IT Admin Heads, CTOs/CIOs, and Digital Heads. They administered the online questionnaire, ensured data accuracy, and clarified cybersecurity topics for a smooth respondent experience. 

  • Targeted Sampling & Anonymity 
    Responses were collected via online platforms from targeted stakeholders with voluntary participation. To keep results unbiased, respondents’ identities were kept anonymous. 

  • Follow-ups for Deeper Insight 
    Participants scoring very low on selected attributes were contacted for brief follow-ups to understand challenges and solutions. They provided 2–3 qualitative or quantitative inputs where scoring alone could not address client-specific criteria. 

  • Data Quality Controls 
    A noise-filtration process monitored response patterns, reviewed time spent per question, and cross-verified inconsistencies. Sampling was evenly split across large, medium, and small entities—100 responses from each group. 

  • Analysis & Outputs 
    Data was analyzed using statistical and qualitative methods to surface trends aligned with research objectives. Findings are intended to support PR initiatives and enhance local sales efforts in Saudi Arabia. 

 

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