AI is changing how people live and work. Thanks to intuitive machine learning systems, the ability to predict, personalize, and customize has reached new levels.

These capabilities of prediction, personalization, and customization make AI the perfect match for cyber security awareness training.

AI cyber security training lets you meet individual employee learning needs directly. Some employees may prefer long-form videos, others like gamified training with characters they can relate to, and others thrive on task-based learning and simulations.

Additionally, not all employees have the same level of knowledge and appreciation of cyber security. No matter how your users prefer to learn, AI can make this happen.

AI lets you give your users the right type of training at the right time to address the latest cyber security threats and risks. This ultimately makes it possible for you to change human behavior and eliminate risk by focusing on the individual needs of each participant.

Security Awareness Training Personalization and Customization with AI

AI is taking e-learning to the next level—engaging employees with personalized and customized content and training approaches. AI cyber security training means that you no longer need to rely on cookie-cutter one-size-fits-all training.

Now security awareness training adapts to individual employee knowledge levels, learning styles, and areas for improvement – creating an optimal learning experience.

AI cyber security awareness gives your employees the best learning experience possible with:

1. Smarter Learning Process

Personalized training means the training is more effective and employees are more engaged with the training materials. Additionally, machine learning-powered training gives employees the training they need at the moment, ensuring immediate learning needs are met.

2. Retention Management

It can be very challenging to balance the amount of information delivered in training with employee attention spans and retention.

AI cyber security training can strategically “drip” information to employees giving them only the most relevant, valuable, and memorable information at the moment.

3. Increased Engagement

Your employees are busy. Inboxes are overflowing and everyone has a long list of deliverables. This makes it difficult to get employees engaged and focused on training.

AI overcomes these challenges by adapting to individual employee learning curves and adjusting the content delivery based on how each employee is using the training.

For employees with limited time available for training, the training can automatically switch to micro- and nano-learnings and use short email newsletters to reinforce key points, for example.

4. Improved Employee Experience

The right training at the right time in the right way means employees get an optimized learning experience. Coupled with an interactive and adaptable training experience, employees understand why they’re taking the training and how it applies to their day-to-day.

Ultimately, AI lets you give your employees the training they need when they need it. This deep level of personalization and customization improves employee satisfaction with the training materials and extends employee retention and knowledge levels.

It’s important that in advance of launching your security awareness training program, you communicate with employees about what they will be learning and why. This helps get employees engaged before training starts and prepares them for their learning experience.

This is the ideal time to ask employees how they like to learn, what they do and do not know about cyber security, and what makes training appealing to them. During this pre-training phase, it’s useful to give employees insight into the type of security awareness training they will receive and why.

Make sure your employees know these 6 benefits of AI cyber security awareness training:

  1. Individualized Learning: Employees get training that is unique to their role and knowledge levels.
  2. Custom Training: People get to learn how they learn best. They decide how to learn – long-form videos, gamified training, micro- and nano-learnings, or even reading whitepapers and blog articles.
  3. Training That Fits: Employees do not need to adapt to the training – the training adapts to them. What they know, what they need to learn, and how they learn.
  4. Relatable Content: Using engaging characters and real-world scenarios, employees see themselves in the training.
  5. Focus On Immediate Needs: AI cyber security training ensures that employees learn about the latest cyber threats and attacks.
  6. Relevant Content: Content is up-to-date and addresses the current cyber security threats, tactics, and approaches.

People want to learn. However, not everyone learns the same way. Use AI-based cyber security training to determine how your employees learn best and provide a learning environment that is suitable.

The more engaged your employees are with their training from the outset, the higher the success rate. As a result, you can ensure that your employees actually learn the concepts in your cyber security training and apply them in order to protect your company from cyber attacks.

10 Key Factors to Consider When Implementing AI Solutions

When building your own AI solution, there are several key factors that you should take into consideration:

  1. Data Quality: The quality of your data plays a critical role in the performance of your AI solution. Make sure to have a clean and well-annotated dataset to train your model.
  2. Model Selection: Selecting the right model for your problem and having exemplary architecture is crucial. It will depend on the problem you’re trying to solve, the amount of data you have, and the desired level of accuracy.
  3. Hardware: Consider the computational requirements of your AI solution and ensure that you have the necessary hardware resources to support it.
  4. Explainability: As the AI model becomes more complex, it’s harder to understand how it arrived at certain decisions. It’s vital to consider the explainability of the model, especially in sensitive fields like healthcare or finance.
  5. Security and Privacy: Make sure to consider the security and privacy of the data used to train and deploy the model, as well as the security of the system itself.
  6. Scalability: Consider how your AI solution will scale as the volume of data or the number of users increases.
  7. Ethical Implications: Consider the ethical implications of your AI solution, such as bias and fairness.
  8. Integration: Consider how your AI solution will integrate with existing systems and processes.
  9. Maintenance: AI systems require regular maintenance and updates, so consider how you will keep your system updated and running smoothly over time.
  10. Monitoring: Consider how you will monitor the performance of your AI solution and how you will troubleshoot and fix issues if they arise.

While AI can provide tremendous value, it’s crucial to ensure that organizations use it responsibly and effectively.

Best Practices for Using AI in Cyber Security

AI has the potential to revolutionize the field of cyber security. AI-powered technologies can detect anomalies, scan for vulnerabilities and malicious activity, and recognize patterns and behaviors that could indicate a threat.

By leveraging AI’s capabilities and best practices, you can improve your cyber security posture and gain a competitive advantage in the ever-evolving cyber threat landscape.

Consider implementing the following best practices when using AI in cyber security:

  1. Establish Clear Goals: Have clear objectives for using AI in their security efforts. This will ensure that your resources are used effectively and that the technology is implemented in a way that aligns with their security objectives.
  2. Use Accurate Data: Use high-quality data to train AI models and verify any results generated by the system. Poor quality data can lead to incorrect results, including false positives or negatives, impacting your system’s overall accuracy.
  3. Utilize Multiple AI Algorithms: Use multiple AI algorithms to detect potential security threats, giving you a better chance at spotting anomalies or malicious activity. This will allow you to accurately identify and respond to threats promptly.
  4. Monitor Results: Regularly monitor the performance of their AI systems to ensure they are performing as expected and delivering accurate results. This will help identify any potential problems or areas for improvement.

By following these best practices, you can fully leverage the power of AI to improve your cyber security posture and protect against malicious activity.



Start Crafting Your AI-based Cyber Security Training

Cyber security training isn’t a one-size-fits-all approach. You need to craft it with your employees in mind, accounting for their learning styles, roles, and needs. To help you create effective and successful AI-based cyber security training, access our definitive guide and learn about the 4 pillars of successful security awareness training.