INTERPOL Report: AI Drives 55% of Africa Cybercrime

In Short

• INTERPOL says artificial intelligence now enables 55% of reported cybercrimes across Africa.
• Reported financial losses more than doubled from $192 million in 2024 to $484 million in 2025.
• The agency is calling for faster, cross-border coordination, especially data sharing between banks, telecoms, and police.

What Happened

INTERPOL’s African Cyberthreat Assessment Report 2026 says AI-driven cybercrime is now the main engine behind many attacks on the continent. AI here means software that can generate text, images, audio, or automate tasks at speed, similar to having a scammer with a copywriter and call centre running 24/7.

The report, based on survey data from 36 African member countries, says cybercrime is shifting from isolated scams to an industrialised and borderless ecosystem. INTERPOL highlighted AI-enabled phishing (fake messages that trick people into giving passwords), AI-driven sextortion (blackmail using sexual content), deepfake deception (synthetic video or voice), and “cybercrime-as-a-service” (criminal tools sold like subscriptions).

INTERPOL also reported that financial losses tied to cybercrime rose from $192 million in 2024 to $484 million in 2025. It said the speed and scale of AI tools are making attacks harder to detect.

Neal Jetton, Director of INTERPOL’s Cybercrime unit, said the current threat level needs coordinated regional action, not only country-level responses. INTERPOL pointed to four coordinated operations that led to more than 1,500 arrests, device seizures, and over $100 million recovered.

Why It Matters

For African fintechs, banks, and telcos, the report flags a practical gap, slow, non-real-time data sharing across institutions. INTERPOL calls this a “dangerous blind spot” that helps fraud spread across borders.

The report also points to fragmented cybercrime legislation and uneven incident response, including limited coordination between computer emergency response teams, or CERTs (teams that handle cyber incidents like a fire brigade for networks).

The takeaway is clear. As AI lowers the cost of scams and makes deepfakes more convincing, faster reporting, shared threat intelligence, and joint enforcement will matter as much as better in-house fraud detection.