5 Critical AI Security Implications and Risks

Artificial Intelligence (AI) is completely revolutionising and transforming the way that we live and work every day. Artificial intelligence stands at the forefront of transformation and innovation, and has emerged as a powerful tool, enhancing automation, decision-making, and data analysis. It has the ability to reinvent companies and businesses, improve our day-to-day lives, make tasks easier and more manageable, and constantly push beyond the boundaries of what is possible. From creating unique images and videos to having your very own virtual assistant, artificial intelligence is reshaping the world as we know it.

However, as is always the case: with great power comes great responsibility. With the incorporation of artificial intelligence into IT systems, new potential security implications and risks have come to the forefront and are a growing concern. In this blog post, we will be looking at what artificial intelligence is, as well as exploring critical artificial intelligence security challenges within IT, shedding light on the potential dangers that require and demand our attention.

What is Artificial Intelligence?

Artificial intelligence is a branch of computer science, which focuses on creating computer systems, software, and technologies that have the ability to perform a variety of different tasks that humans would typically be able to carry out themselves, aiming to replicate human intelligence within machines. These tasks can include recognising and implementing complex patterns, problem-solving, understanding and using many different languages, learning from experience, and making decisions.

So What Should I Be Worried About?

As mentioned above, now that we’re using artificial intelligence far more both in our personal and working day-to-day lives, new potential security implications and risks have come to the forefront and are a growing concern. Let’s explore our 5 Critical AI Security Implications and Risks down below:

1. Cybersecurity Vulnerabilities: With artificial intelligence now being integrated into IT systems, this can introduce and bring about new cybersecurity vulnerabilities and concerns — be sure to check out our blog post highlighting the importance of cybersecurity here. People working for companies known for hacking may maliciously exploit artificial intelligence algorithms within other businesses, in order to get round various cybersecurity measures, launch more calculated and sophisticated attacks, as well as imitate and automate malware creation. As AI-based cybersecurity tools continue to evolve, so do the techniques and capabilities of cybercriminals, hackers, and scammers. Ensuring that artificial intelligence is used to enhance and not undermine IT security within a business is of paramount importance.

2. Data Privacy and Breaches: Artificial intelligence systems in IT often handle massive amounts of sensitive and confidential data, spanning from important financial records to private personal information. Mishandling and misplacement of such data can lead to significant and possibly devastating data breaches, data loss, data theft, and privacy violations. Artificial intelligence systems can be vulnerable to cyberattacks, and the data used by these systems may be exposed to people with strictly unauthorised access. Malicious actors working for hacking businesses may target artificial intelligence systems in order to steal any sensitive data they can find. With this in mind, protecting all important data from unauthorised access, and ensuring that sound and secure data handling procedures are in place are crucial for reducing these risks.

3. Insider Threats: While artificial intelligence can help identify external security threats, it can also pose an insider threat risk through current employees, former employees, contractors, or business associates of a company or business. People within a business who have access to artificial intelligence systems might try and exploit these tools, in order to manipulate processes or steal sensitive and confidential data. Detecting and preventing these insider threats — even within working environments that already have AI-driven security measures — is an ongoing challenge and is of great importance.

4. Biased Decision-Making: In IT, artificial intelligence is often used for automating decision-making processes or answering any questions that users may have. However, if it’s a case that the artificial intelligence algorithms being used are biased or make unfair decisions, it can quickly lead to discrimination, assumptions, as well as possible legal consequences. This bias can be completely unintentional, and may result from the data used to train the AI model, the design of the algorithm, or the context in which it is utilised. Ensuring the fairness of artificial intelligence algorithms is not only an ethical concern, but also a critical risk mitigation strategy within IT. Best practice should involve not using AI-created information presented at face value, but instead carefully analysing everything presented to you, and then editing accordingly based on your business’ ethics and beliefs.

5. Resource Intensiveness: Resource intensiveness refers to the sheer amount of computational and hardware resources required for the development, training, and deployment of artificial intelligence models and systems, as well as the significant amount of computing power and data storage needed to run these resources. Using AI resources intensively throughout a business can lead to IT infrastructure challenges, such as increased operational costs, reduced and slower performance, as well as potential scalability issues — how the IT infrastructure is able to handle a continuously growing amount of work. Balancing the benefits of AI, along with the IT resources that are required to support it, is an essential consideration in managing risks.

But Not All AI is Bad, Right?

Even though we have just explored the security implications and risks of AI within IT, artificial intelligence also has a wide variety of benefits — its impact on the world depends on how it is developed and used within a business. Some of the positive aspects of AI include improving work efficiency, enhancing healthcare and education, assisting people with disabilities and special educational needs, environmental conservation — such as monitoring world events like climate change — customer service, as well as providing new and innovative technologies.

What Have We Learnt?

If you are looking to use artificial intelligence within your business, the key is to use it responsibly and ethically, addressing any potential negative uses of AI within your business as they appear, such as biases, privacy concerns, and security risks. It is crucial to possess a balance between harnessing the power of AI along with its advantages, whilst at the same time mitigating any related risks. Artificial intelligence can be seen as a double-edged sword: offering immense benefits, but also posing significant security risks. Balancing innovation with security is key when using AI within your business.