The threat never sleeps: Protecting trust in Africa’s digital economy

The threat never sleeps: Protecting trust in Africa’s digital economy A cybersecurity incident managed by a Nigerian consultant several years ago revealed a crucial truth: resilience is tested long before a crisis erupts. During a live incident, the consultant faced resistance to isolating critical systems, a decision deemed excessive at the time. Yet, this action ultimately prevented a potential ransomware attack that could have disrupted operations for weeks. This experience underscored a growing reality: cybersecurity is no longer a technical concern confined to back offices. It has evolved into a core issue of trust, financial stability, and strategic leadership. As Nigeria’s digital economy expands through instant payments, mobile banking, and digital lending, the stakes have risen dramatically. Cyber risk has become systemic across Africa. INTERPOL’s Operation Red Card, conducted in 16 African nations between late 2025 and early 2026, resulted in 651 arrests and identified approximately $45 million in losses impacting 1,247 individuals. The operation highlighted the organized nature of cybercrime on the continent, which now operates across borders using sophisticated platforms. Criminal activity has also industrialized, with phishing kits, ransomware tools, and stolen credentials becoming readily available as services. Attackers no longer need to breach systems; they exploit weak identity controls and misplaced trust. Cybercriminals adapt faster than organizations, often staying one step ahead. Preparation defines the difference between success and failure in cybersecurity. Just as Captain Chesley Sullenberger’s emergency landing of US Airways Flight 1549 on the Hudson River was the result of rigorous training, so too must cybersecurity strategies be honed through deliberate practice. Organizations that thrive in crises do not merely prepare for probable threats, they anticipate the unexpected. In 2026, attackers can transition from initial access to targeting valuable assets within minutes. Speed is not just an advantage, it is essential for survival. Artificial intelligence has transformed how trust is both exploited and defended. Identity, once the boundary of security, is now a vulnerable point. Deepfakes, created with minimal resources, public photos, short videos, and modest budgets, are increasingly used to deceive. In 2024, an employee at a multinational corporation in Asia authorized a $25 million transfer after participating in what appeared to be a legitimate video call with senior executives, including the CFO. Only the employee was real; all others were AI-generated. Conversely, another executive at a luxury automobile company thwarted a similar attempt by posing a personal question the impersonator could not answer. These contrasting outcomes highlight that the distinction lies not in technological capabilities but in organizational habits of verification. The World Economic Forum’s Global Cybersecurity Outlook 2026 identifies artificial intelligence as the most transformative force in the field. While AI offers powerful defensive tools, it also presents new vulnerabilities. For Sub-Saharan Africa, the forum’s regional assessment reveals persistent challenges: capability gaps, low confidence in preparedness, and a shortage of skilled professionals. Although cyber threats are global, building resilience requires localized efforts. The region must invest in education, infrastructure, and policy frameworks tailored to its unique context. Security measures alone will not suffice. The evolving landscape demands more than physical or digital barriers. It calls for cultural shifts, continuous learning, and proactive engagement with emerging technologies. As Africa’s digital economy grows, so too must its capacity to protect the trust that underpins it. The path forward involves collaboration among governments, private sector entities, and international bodies to create a safer, more secure environment for innovation and growth. The challenge is clear, and the response must be equally robust.