Artificial Intelligence (AI) has stormed the technological industry, emerging as a disruptive force. It has revolutionized the way businesses operate, innovate and interact with their customers. Starting from cutting-edge machine learning algorithms to Natural Language Processing (NLP) and autonomous robotics, AI tools have marked the start of a new era of unparalleled possibilities and efficiencies.
AI tools have enough potential for adoption, but at the same time, they pose many challenges. For an equitable AI development, it should be ensured that issues related to data privacy, ethics, bias and security must be addressed. Thus, it is crucial for businesses to understand the nuances of these AI tools and their potential benefits and risks.
If we delve into Artificial Intelligence (AI) technologies such as ChatGPT, they are helpful tools that increase the efficiency and productivity of businesses, assist with content creation, data analysis and much more. However, they pose security risks with serious implications for businesses, including data breaches, privacy issues and copyright infringement.
Open-source AI Tools
These free AI tools perform various functions such as producing text and images, creating music and audio, etc. Below we have discussed some of the popular AI tools in use:
ChatGPT
It is a language processing tool that helps in the automation of content creation. ChatGPT has immense use for quickly generating ideas and delivering answers to complex prompts, thus saving time and money. ChatGPT can be used to do advanced tasks such as programming and data analysis.
AI
Copy.ai is an AI tool that assists in automating various content-creation tasks. This can help you improve your business blog content and help create social media posts and marketing copy, summarize text, and more.
Imagen
Imagen is a free AI tool from Google that helps businesses to quickly generate high-quality visuals, such as corporate logos and images. It can also be used for video creation and editing.
Supertone
This tool is a South Korea-based intelligent audio platform that helps businesses create audio content like voiceovers, narrations and sound effects. It has additional capabilities such as converting text-to-speech and can synthesize human-like voices.
Jitter
Jitter is a deep-learning AI platform that assists businesses quickly generate videos and animations. It can also be used to create explainer videos, promotional clips and animations with ease.
Security Risks in AI Tools
We see AI tools save hours of research and even help us avoid simple human mistakes that can be made while coding or writing configuration files. However, AI tools and applications rely on their extensive information collection to learn and produce technically sound results for developers. Hence, they are exposed to vast amounts of data and adjusting their internal parameters to learn patterns and make predictions or generate responses.
There comes the risk of data breaches and identity theft. At times, when we try to generate quick answers or have a long question to pass to an AI tool, we may unintentionally share more information than we think. This feeds the AI model with customer data or security passcodes that were accidentally pasted as a part of the question. This is a common way AI chatbots users can reveal confidential company information.
Similar incident took place in Samsung, where they forbid their employees from utilizing chatbots to achieve work tasks due to the discovery of an accidental leak of sensitive internal source code by an engineer who uploaded it to ChatGPT during May 2023.
Another security risk of using AI tools are AI model attacks. AI models are increasingly prevalent in critical applications such as finance, healthcare and autonomous systems. In turn, they are becoming potential targets for malicious exploitation. These attacks can bring dire consequences, ranging from disrupting AI-powered services to causing financial losses and compromising user privacy.
Moreover, the complexity of deep learning models can make them vulnerable to backdoor attacks, where hidden patterns can be exploited to mislead the model’s behavior. Therefore, addressing these security risks requires adoption of robust security measures, continuous monitoring and constant research to fortify AI tools against significant threats.
How to Mitigate AI Security Risks?
Software applications, security tools and following best practices can assist the businesses to eliminate the risks of using AI tools for business.
Software and Security Tools
- TrojAI Software Framework- TrojAI is a Python module developed by the John Hopkins University Applied Physics Lab to help detect AI model poisoning and other malware patterns. The repository of this tool can be found on GitHub. Businesses can use it to detect and eliminate malicious data from their systems.
- OpenAI Text Classifier- This tool was developed by the team behind ChatGPT. It is a secure text classification tool that can detect whether content was generated by AI or a human. It has its own limitations, but is considered to be more reliable and secure than other plagiarism checkers and text classification tools.
- IBM Cloud Identity and Access Management- This platform provides businesses with secure authentication services, multifactor authentication and encryption. It helps to protect against unauthorized access, data loss and malicious code injection.
Best Practices
- Be very sure about the information you provide to AI software, it may significantly be vulnerable to data breaches.
- Utilize manual input processes to cross-check the generated content and detect plagiarism or copyright infringement. As such, you can use a plagiarism checker to determine if AI-generated content is obtained from another source.
- Train the effective employees surrounding AI. Educate them on the potential risks of AI tools, best practices for using them and how to identify and report suspicious activity.
- Invest in paid AI tools that provide better security and reliability than free ones.
- Make sure you stay updated on the latest security trends and best practices to ensure protection of your business.
- Implement a strict data-handling and storage policy and use a secure authentication system to protect your data from malicious attackers.
Final Thoughts
In the complex landscape of AI tool development, security risks and their potential impact stand at the forefront of contemporary concerns. We cannot deny that AI will drive the future and free AI tools can be advantageous in terms of convenience and cost-efficiency. However, we got to see that AI tools have inherent risks, as AI and machine learning are in their early stages of development. Understanding these risks is paramount, but acknowledging them alone is insufficient.
Moving towards the future, there is a clear picture with the blend of technology, ethics and vigilant security practices., where AI is not just a tool but an ally. By prioritizing security and ethical considerations, we pave the way for a future where AI contributes positively to individual lives, businesses and the global community. Hence, educating the employees, investing in proper security measures and implementing the right tools and policies, businesses can protect themselves from any significant security threats associated with using AI technology.
Want to start your learning journey on Cyber Security and Ethical Hacking field?

Leave a Reply