Cyber Security Threat Summary:
ChatGPT and similar large language models (LLMs) have added further complexity to the ever-growing online threat landscape. Cybercriminals no longer need advanced coding skills to execute fraud and other damaging attacks against online businesses and customers, thanks to bots-as-a-service, residential proxies, CAPTCHA farms, and other easily accessible tools. Now, the latest technology damaging businesses' bottom line is ChatGPT. Not only have ChatGPT, OpenAI, and other LLMs raised ethical issues by training their models on scraped data from across the internet. LLMs are negatively impacting enterprises' web traffic, which can be extremely damaging to business. Among the threats ChatGPT and ChatGPT plugins can pose against online businesses, there are three key risks we will focus on:
- Content theft (or republishing data without permission from the original source)can hurt the authority, SEO rankings, and perceived value of your original content.
- Reduced traffic to your website or app becomes problematic, as users getting answers directly through ChatGPT and its plugins no longer need to find or visit your pages.
- Data breaches, or even the accidental broad distribution of sensitive data, are becoming more likely by the second. Not all "public-facing" data is intended to be redistributed or shared outside of the original context, but scrapers do not know the difference. The results can include anything from a loss in competitive advantage to severe damages to your brand reputation.
Industries highly vulnerable to ChatGPT-driven attacks are those emphasizing data privacy, unique content, and intellectual property, with revenue dependent on advertising, views, and unique visitors. These sectors encompass:
- E-Commerce: Distinct product descriptions and pricing models are crucial competitive factors.
- Streaming, Media, & Publishing: Providing exclusive, imaginative, and engaging content is paramount.
- Classified Ads: Pay-per-click (PPC) ad revenue is vulnerable to reduced website traffic, bot issues like click fraud, and skewed analytics from scrapers.
The article details several in depth ways organizations can block ChatGPT and related attacks. However, first and foremost they are recommending that companies: