Artificial intelligence is emerging as a potential new challenge to global cybersecurity, with experts warning that advances in AI could expose weaknesses in modern encryption systems even before powerful quantum computers become practical.
Modern encryption protects sensitive digital information, including banking transactions, government communications, business records and personal data. For decades, these systems have relied on complex mathematical problems that conventional computers cannot efficiently solve.
Quantum computers are widely considered a future threat because sufficiently advanced machines could break some of the mathematical protections used in today’s encryption technologies.
However, growing AI capabilities are introducing another dimension to the debate. Researchers are examining whether AI could help identify mathematical weaknesses or develop new techniques that make certain encryption systems easier to attack.
There is currently no established evidence that AI can independently break widely used modern encryption systems. Nevertheless, its potential to accelerate mathematical research and vulnerability discovery is attracting attention across the cybersecurity industry.
Governments and technology companies are also preparing for the quantum computing threat. The US National Institute of Standards and Technology (NIST) has introduced post-quantum cryptography standards designed to protect digital information against future quantum-based attacks.
The transition to stronger encryption is expected to require significant investment and coordination across financial institutions, government agencies, telecommunications providers and technology companies.
The growing capabilities of AI and quantum computing highlight the need for continuous improvements in digital security. While the immediate risks remain uncertain, organisations are increasingly being encouraged to strengthen their encryption systems before emerging technologies create new security challenges.
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