Building resilience today can enable organizations to optimize their use of advanced technologies tomorrow, to drive competitive advantage while minimizing the risk of something going wrong.
Cybercriminals are always looking for new ways to make money. And boasting funds and users in ever greater numbers, private Blockchains offer a perfect environment target. These may be restricted access networks, but in many cases, private Blockchains aren’t as well stress-tested as their better-known public equivalents.
Generative AI (GenAI) opens the door to several potential use cases for cyber adversaries. The technology’s ability to generate compelling and convincing written content has already been demonstrated many times.
Already, it’s been shown how legitimate tools like ChatGPT can be hijacked to generate such content. Threat actors could do so using stolen user credentials to maintain anonymity. Or they may want to wait for another malicious WormGPT-like tool to use.
AI is not just a tool for attackers, it is also a target in its own right. That’s especially true of cloud-based machine learning models, which will increasingly be at risk from data poisoning attacks. Why? Because they’re relatively easy to execute, don’t cost much, and can be used to achieve many objectives – from exfiltrating data to disrupting fraud protection systems, and serving up biased or harmful content.
There’s plenty to think about as we head into 2024. But organizations that know where to focus their cybersecurity resources most effectively, will have an undoubted competitive advantage. Start planning now.
