In recent years, generative AI has developed sophisticated algorithms to produce high-quality outputs in a variety of fields. However, this progress has also led to a surge in cyber attacks that utilize generative AI techniques, resulting in an alarming increase in attack speed and frequency. As a result, cyber-attacks are proliferating more than ever thus causing significant cyber security concerns.
Generative AI is a branch of Artificial Intelligence within Machine Learning that focuses on generating output instead of just making predictions or providing analysis. It involves using algorithms and models to create unique data, such as images or text, based on specific user inputs or by analyzing large data sets. This technology can be used in various ways, from creating reconstructed images with tools like DALL-E 2 to scientific research, where it can accelerate the discovery of new medicines and other breakthroughs.
The popularity of generative AI software like OpenAI’s ChatGPT has resulted in widespread adoption because of its accessibility and efficiency. However, Fake apps and information-stealing malware have also sprung up due to this growth, which lured users with fraudulent links to ChatGPT downloads, infiltrated the user’s system, or stole payment credentials.
Cyber risks associated with Generative AI
Hyper personalized phishing email: Threat actors can exploit Generative AI tools like ChatGPT’s natural language processing capabilities to create highly customized phishing emails with malicious code.
Copyright infringement: Generative AI model generates original content based on training data that may be plagiarized. The user is responsible for validating the content produced by generative AI natural language/image processing tools to avoid copyright violations.
Chatbot poisoning: It can poison a ChatGPT AI chatbot by introducing malicious input, leading it to learn and repeat biased or discriminatory behavior.
Sharing of intellectual property: Generative AI models like ChatGPT software’s database is open to anyone, which could result in data breaches and reputational damage. Organizations must establish strict guidelines to prevent employees from sharing confidential information on platforms such as ChatGPT.
Cyber security tips for using Generative AI
1. Never share sensitive information
Avoid copying, pasting, or inserting any personal data or confidential information related to your organization or clients.
2. Always use generative AI applications from reputable sources
‘I, as a language model, do not have an app in the Play Store or any other app store. However, some applications may be developed by third parties that use my language processing capabilities through an API or other integration.’
This is the response received from ChatGPT as I asked if it has an app in Play Store or AppStore. Make sure that you are using authorised software. Be aware of malware disguised as AI applications, which can lead to data breaches and credential compromises.
3. Avoid plagiarism
Never copy/paste content directly from AI software into your research, blogs, or documents, as it can result in plagiarism. Also, there is a risk of biased replies. Avoid copying/pasting code, as it can lead to copyright violations
4. Implement robust security controls
Implement two-factor or multi-factor authentication and limit user access to data. A cyber attack can be prevented by using this method.
5. Continuously monitor your AI chatbot
While integrating generative AI software API into chatbots, there are chances of database poisoning by threat actors. Be aware of database poisoning by threat actors, which can result in harmful content being served to users. Monitor your chatbot to detect and avoid abusive or malicious content.
6. Check the code before use
Developers may look for code mistakes using Generative AI applications or even look to improvise codes. Validate the code you plan to use in your product development/projects. Threat actors may insert malicious code, so always double-check the code to avoid security breaches.
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Conclusion
Generative AI is still in its development phase. Threat actors will continue to find various ways to exploit it for their malicious purposes. This will put organizations and individuals at risk of cyber attacks. Small businesses and health care institutions are most at risk since they lack the budget to invest in sophisticated AI defensive systems. To avoid becoming a target, following the cybersecurity tips outlined above and remaining vigilant against potential threats is essential.
