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African enterprises now face a perfect storm: the speed of AI-powered cyberattacks is accelerating faster than ever. Yet, the region continues to grapple with a persistent shortage of cybersecurity expertise.
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For many organisations on the continent, the transition from “we think we’re fine” to “we have evidence we’re exposed” has arrived in the form of the Check Point® Software Technologies AI Threat Landscape Report (January/February 2026).
The report, which offers a rare and critical snapshot of Agentic AI patterns of operation over just two months, reveals a landscape defined by reality rather than assumption. It brings global telemetry at scale to a region—Africa—that is frequently underrepresented in local data collection.
Africa bears the heaviest global attack volume
The findings are a stark reality check. Africa remains the most heavily affected region globally in terms of attack volume. Record shows over 3,000 attacks per organisation per week. AI adoption is accelerating across every major economy, from enterprise copilots to large-scale AI infrastructure powering critical services. But security is lagging behind.
This means both global and African organisations are not only facing AI-powered cyber attacks that are faster and more sophisticated. They are also deploying AI systems that introduce entirely new attack surfaces, including models, data pipelines, and autonomous agents.
This dual challenge is creating a growing gap between innovation and protection.
The Era of the “Autonomous Attacker”
The AI Threat Landscape Report covering the first two months of 2026 signals the official start of the “Agentic Era,” where AI has transitioned from a content-creation tool to an operational component capable of independent action.
The most alarming evidence of this shift is VoidLink, a cloud-native malware framework uncovered by Check Point Research. In a feat that redefines offensive velocity, a single developer using an AI-powered IDE (TRAE SOLO) generated 88,000 lines of deployment-ready code in under a week. Traditionally, this is a project that would require an entire engineering team approximately 30 weeks of development effort.
“The only way we can address the scale and dimension of Agentic AI attacks is not to focus on the human skills shortages, but to derive answers using Agentic AI itself,” says Ian van Rensburg, Head: Security Engineering, Africa at Check Point Software Technologies.
“Agentic AI is no longer just a future idea; it is already changing how organisations in Africa work, innovate, and compete. Tasks that once took teams months can now be done by individuals in just days.”
Translating Technical Threats into Business Risk
For African executives juggling limited budgets and competing priorities, the report serves as a catalyst for fast-tracking decision-making. It provides the “board-level language” necessary for CISOs and Security Engineers (SEs) to secure the leverage they need.
The data highlights several aggressive trends targeting the continent:
- Ransomware Growth: Accelerated by AI-driven automation.
- Targeted Phishing: Sophisticated campaigns specifically aimed at African banks and telecommunications providers.
- API & Cloud Vulnerabilities: Increasing as businesses speed up digital transformation without commensurate security controls.
The New Risk Surface: Enterprise GenAI
While threat actors weaponize AI, African businesses in sectors such as retail, government, and financial services are adopting AI tools to stay competitive. However, this rapid adoption is creating a parallel risk surface.
Check Point’s analysis reveals that 90% of organisations using GenAI tools experienced high-risk prompt activity, with 1 in every 31 prompts risking the leakage of sensitive data, such as source code or confidential business information. On average, employees use roughly 10 different GenAI tools, creating a “Shadow AI” environment that is nearly impossible to manage without total visibility.
Rethinking Security for the Agentic Age
“Traditional methods that focus only on protecting infrastructure and devices are no longer enough,” van Rensburg warns. “Security strategies must now cover AI itself—how it is used, what data it can access, and how it makes decisions.”
To navigate this landscape, Check Point advises African organisations to adopt a three-pillar approach:
- Visibility First: Uncover hidden or unofficial AI tools within the organisation.
- Data Governance: Ensure sensitive information is not shared through prompts or connected workflows.
- AI-Driven Defense: Invest in security tools that can detect anomalies and automate responses at the same pace as the automated threats they face.
Security as a Foundation
Agentic AI presents a historic opportunity for economic growth and operational efficiency across Africa. However, the report makes it clear that this potential can only be realised if security is treated not as an afterthought. Security must be a foundational component of the AI strategy from day one.
“Check Point is announcing new capabilities designed to secure both AI systems and the infrastructure behind them, marking a shift toward prevention-first cybersecurity in the age of AI. Our insights into how the threat landscape is evolving can assist organisations on what they need to do to secure AI-driven environments,” van Rensburg concludes.
