AI-Driven Cyberattacks Surge Across African Digital Landscapes

Artificial intelligence has fundamentally altered the cyber threat landscape, providing criminals with the tools to execute scalable and highly sophisticated attacks. According to Kaspersky, bad actors are leveraging large language models to automate the creation of malicious code and refine phishing campaigns, leaving millions of African users vulnerable to exploitation.

Editorial·July 30, 2026·reads: 641

AI-Driven Cyberattacks Surge Across African Digital Landscapes

During the first half of 2026, security systems blocked 5.7 million web-based attacks in South Africa, 4.5 million in Kenya, and 1.6 million in Nigeria. These figures reflect a broader regional trend where web-borne threats remain a persistent danger. Among the nations monitored, Kenya recorded 21.2% of users affected, while Nigeria and South Africa followed at 18.4% and 17.2% respectively.

Modern AI models allow attackers to generate complex malware and modify malicious software with unprecedented speed. Researchers identified the FunkSec group as a primary example, noting their use of AI-assisted development to create Rust-based malware capable of system manipulation and data theft. Similar patterns emerged within the RevengeHotels campaign, signaling a shift where the cost and time required to launch large-scale operations are dropping significantly.

Sergey Lozhkin, head of Kaspersky’s GReAT team for the APAC and META regions, emphasized that these tools enable rapid tactical pivots. Beyond immediate threats, organizations now face the danger of compromised AI agents with high-level system permissions. If hijacked, these agents could be forced to download malicious software or leak sensitive enterprise data. To counter this, experts advocate for rigorous vulnerability management, frequent software patching, and the deployment of security platforms specifically tuned to detect AI-assisted anomalies.