Supply-chain threats no longer pertain solely to enterprise software. In the world of on-device LLMs, hardware, firmware, model packaging, and even manufacturing processes are all potential vectors for compromise.
The rapid adoption of Large Language Models (LLMs) such as ChatGPT, Claude, and Gemini has revolutionised enterprise operations across industries—from customer support and legal drafting to cybersecurity automation and product innovation. However, this surge in usage has opened new frontiers for cyber threats. Among the most pressing is LLM01:2025 Prompt Injection, the first and arguably the most dangerous vulnerability in OWASP’s Top 10 for LLMs.
Prompt injection attacks manipulate LLMs into executing unintended behaviours, bypassing safety protocols, generating harmful content, or leaking sensitive data—all of which hold serious business, regulatory, and reputational implications.
Today’s customers expect personalised, relevant, and accessible content, whether they’re in Manchester, Mumbai, or Maputo. However, personalisation cannot exist without linguistic inclusion and format diversity. If your AI systems are only trained on English or text-based content, you’re not just missing out—you’re limiting intelligence and impact.
Artificial intelligence (AI) has rapidly become a cornerstone of modern technology, transforming industries from healthcare to finance. In the realm of cybersecurity, AI offers immense potential to revolutionise defences against cyber threats. However, a paradoxical situation has emerged: while AI empowers organisations to detect and respond to attacks more effectively, hackers also use it to launch more sophisticated and targeted attacks.
The convergence of Artificial Intelligence (AI) and Brain-Computer Interfaces (BCIs) has ignited a wave of both excitement and trepidation. While these technologies hold immense promise for advancing human capabilities and improving quality of life, they also raise profound ethical and security concerns. One such concern is the potential for AI-controlled robots to pose a threat to human safety.