Artificial Intelligence and Employee Security Training

In a recent article, businessman, technologist, and founder of software giant Microsoft, Bill Gates stated that as artificial intelligence (AI) progresses "the issues of online privacy and security will become even more urgent than they already are."

Given the advances we've seen in the last few years, it's hard to argue anything to the contrary. Though, as with many emerging risks, organisations are often slow to adapt, and struggle to keep pace with innovation.

Below, we explore the many reasons employees need AI security training, some of the key areas that should drive training and education, and the steps necessary to ensure employees are empowered to recognise and respond to these emerging threats, ensuring the security of sensitive information.

Why do Employees Need AI Cyber Security Training?

AI is increasingly becoming integrated into various aspects of our professional lives. As such, employees need AI cybersecurity training to navigate this transformative landscape safely. Understanding the specific risks associated with AI is crucial, from potential data breaches and algorithm biases to sophisticated AI-driven phishing attacks.

As these technologies become an important part of everyday tools and applications, employees need an understanding of how they work to make informed decisions. Training should go beyond just safeguarding against external threats; and instead instil a proactive security culture within the workforce.

By educating employees on AI risk and how to mitigate them, training ensures compliance with legal and regulatory requirements, fostering a collective responsibility for cybersecurity. In essence, AI cybersecurity training is a strategic investment in equipping employees with the knowledge and skills needed to navigate the complexities of AI safely, promoting a resilient, security-conscious culture.

Read more: How Much Does Security Awareness Training Cost?

4 Key Areas for Employee Training

1. Understanding AI Basics:

Start with foundational knowledge about what AI is and how it works. Ensure employees have a basic understanding of machine learning, algorithms, and the different types of AI (e.g., text-based, text-to-image).

3. Data Privacy and Protection:

Emphasise the importance of data privacy and protection, especially when AI systems are involved. Discuss how AI relies heavily on data, and improper handling of data can lead to privacy breaches. Highlight the significance of adhering to data protection regulations.

5. Inaccurate Outputs:

Address the potential for inaccurate outputs or 'hallucinations' in AI systems. Educate employees about the importance of verifying AI-generated results and being vigilant about unexpected or anomalous outcomes to prevent reliance on misleading information.

6. Phishing and Social Engineering with AI:

Train employees to recognise and mitigate AI-driven phishing and social engineering attacks. AI can be used to enhance the sophistication of such attacks, making them more difficult to detect. Provide practical examples and simulations to improve employees' ability to identify and respond to these threats.

Read more: 15 Essential Cyber Awareness Training Topics for 2024

How do you Train Employees on AI Risks?

Before implementing training programs on AI risk for employees, it's essential to establish a strong foundation through policies, identification of key stakeholders, and a comprehensive strategy. Here are some key steps to consider:

Identify Key Stakeholders

Identify and involve key stakeholders within the organisation who are responsible for AI implementation, data governance, legal compliance, and IT security. This may include representatives from the IT department, legal, compliance, data science, and executive leadership.

Conduct Risk Assessments

Perform thorough risk assessments specifically focused on AI applications and systems. Identify potential risks associated with data, privacy, cybersecurity, and compliance. This will help in tailoring training programs to address the specific risks relevant to your organisation.

Establish Governance Framework

Implement a governance framework for AI that outlines roles, responsibilities, and decision-making processes related to AI initiatives. Clearly define who is accountable for AI security and ensure that there is ongoing communication and collaboration among different departments.

Develop AI Security Policies

Formulate clear and comprehensive policies that specifically address the use of AI within your organisation. Cover aspects such as data handling, privacy, security protocols for AI systems, and guidelines for employees interacting with AI tools. Ensure that these policies align with existing cybersecurity and data protection policies.

Legal and Compliance Considerations

Stay abreast of legal and compliance requirements related to AI in your industry and region. Ensure that your policies align with these regulations and consider consulting with legal experts to address any specific legal implications associated with AI use.

Find the Right Training Solution

Identify an effective security training solution that educates employees about AI security risk. Foster a culture of continuous learning by providing relevant, ongoing training and resources to employees.

By addressing these foundational elements, you create a conducive environment for effective AI risk training programs. This approach helps in fostering a culture of security awareness and accountability throughout the organisation.

Looking for an Effective Training Provider?

Here at Hut Six, we believe that training should not only be engaging but should provide tangible value to customers, which is why we're always tackling new subjects and evolving threats such as AI.

Ensuring employees are afforded the right training is a vital aspect of any security aware culture, reducing avoidable human error, and affecting positive behavioural change across your organisation.

All of Hut Six's training is crafted to educate users to identify, avoid and report cyber threats, and is specifically designed to produce meaningful behavioural change in your employees.

Learn more about our brand-new AI tutorial now!