Ghanaians Overconfident Amid Rising Cyber Threats

Survey reveals gap in mobile security awareness

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Ghana’s Mobile Money
Ghana’s Mobile Money

Ghanaian mobile money users exhibit concerning overconfidence despite escalating cybercrime risks, according to KnowBe4’s 2025 African Cybersecurity & Awareness Report.

The survey of 800 employed adults across seven African nations found 58% of respondents “very concerned” about cybercrime doubling from 2023 levels.

Yet 35% admitted losing money to scams, while 53% couldn’t define ransomware despite 83% claiming confidence in identifying threats.

This confidence-knowledge gap coincides with Ghana’s rapid adoption of mobile financial services, now used by 85% of respondents versus 63% in 2023. According to official records, mobile transactions processed over GH¢1.9 trillion nationally last year. Cybersecurity experts warn this mobile-first growth expands attack surfaces, particularly as 97% use smartphones and 93% utilize WhatsApp for work—blurring personal and professional digital boundaries.

Anna Collard, KnowBe4 Africa’s SVP Content Strategy, noted: “Increased vigilance hasn’t translated to practical skills. Users underestimate threats like AI voice cloning while overestimating their detection abilities.” The report documented significant regional vulnerabilities: 10% of Nigerian and 7% of Kenyan respondents readily share personal data, with password security comprehension declining continent-wide.

Ghana’s Cyber Security Authority faces mounting challenges as mobile threats surge regionally. Kenya recorded 333% more mobile application attacks in mid-2024, targeting financial credentials. Recommendations emphasize mobile-centric training and combating “security fatigue” through continuous reinforcement.

The Mahama administration prioritizes digital inclusion, but experts urge accelerated adoption of multi-factor authentication and biometric verification upgrades. With phishing victims increasing from 26% to 32% since 2023, industry stakeholders face pressure to implement adaptive trust mechanisms before AI-enabled fraud escalates.

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