We talk to AI about cybersecurity

AI hero image

In recent days, ChatGPT has been making headlines. We asked it about cybersecurity and what tips and tricks it has for us to stay safe online. Below is the result.

It seems that ChatGPT – an innovative Artificial Intelligence chatbot – became the first project to achieve one million users in five days. Many people in the content creation community are concerned that such a tool will put us out of our jobs.

And perhaps it will.

But until that happens let’s take a look at what a computer can teach us about… computers!

Below are the questions and unedited answers as given by the software.

What is the best way to protect myself online?

  1. Use a strong, unique password for each of your online accounts. Avoid using easily guessable information, such as your name or birthdate, in your passwords.
  2. Enable two-factor authentication (2FA) on your accounts whenever possible. This adds an extra layer of security by requiring you to enter a code that is sent to your phone or email address in addition to your password.
  3. Be cautious about the information you share online. Avoid sharing sensitive personal information, such as your Social Security number or bank account information, on the internet.
  4. Use a virtual private network (VPN) to encrypt your internet connection and protect your online activities from being monitored.
  5. Be careful about the links you click on and the websites you visit. Avoid clicking on links in unsolicited emails or messages, and only visit websites that you trust.
  6. Keep your software up to date. Make sure you have the latest security patches and updates for your operating system and other software programs installed on your devices.
  7. Use antivirus software to protect your devices from malware and other threats.

Following these steps can help protect you from many of the most common online threats. It’s also a good idea to regularly review your online security practices and make any necessary changes to keep your information safe.

AI thinking about cybersecurity. Image generated by DALL·E 2

Can AI help hackers beat cybersecurity solutions?

It is possible that AI could be used by hackers to improve their ability to breach cybersecurity measures, but it is also possible that AI could be used to improve cybersecurity and defend against hacking attempts. Ultimately, the use of AI in hacking or cybersecurity depends on how the technology is employed. It is important for organizations to stay up-to-date with the latest developments in AI and to implement robust security measures to protect against potential threats.

AI thinking about cybersecurity. Image generated by DALL·E 2

In what ways can AI help defend data on the cloud?

There are several ways that AI can help defend data on the cloud. Some examples include:

  1. AI can be used to monitor and analyze network traffic in real time to detect anomalies and potential security threats.
  2. AI algorithms can be trained to recognize patterns in data that may indicate a security breach, such as a sudden increase in failed login attempts or unusual data access patterns.
  3. AI can be used to automate certain security tasks, such as identifying and blocking malicious traffic or automatically applying security updates to servers and other infrastructure.
  4. AI can be used to improve the accuracy of threat detection and response by providing security analysts with more comprehensive and timely information about potential threats.

Overall, the use of AI in data security can help improve the efficiency and effectiveness of security measures, helping to protect data on the cloud from a wide range of potential threats.

How is AI being used on the cloud?

AI is being used in many different ways on the cloud. Some examples include:

  1. AI algorithms and models are often trained and run on cloud-based platforms, which provide access to powerful computing resources and scalable infrastructure.
  2. Cloud-based AI services, such as machine learning and natural language processing APIs, are becoming increasingly popular among developers, allowing them to easily incorporate AI capabilities into their applications.
  3. Cloud-based AI solutions are also being used by organizations to improve the efficiency and accuracy of their operations, such as through the use of predictive analytics and automated decision-making.
  4. AI is also being used to improve the security of cloud-based systems and data, through the use of techniques such as anomaly detection and threat analysis.

Overall, the use of AI on the cloud is growing rapidly, and is expected to continue to expand as more organizations and individuals recognize the potential benefits of using AI in a cloud-based environment.

AI thinking about cybersecurity. Image generated by DALL·E 2

What are the next steps for AI?

The future of AI is difficult to predict with certainty, as it will depend on many factors, including advances in technology, the availability of data and computing resources, and the willingness of individuals and organizations to invest in and adopt AI solutions. However, some possible next steps for AI include:

  1. Continued development and refinement of AI algorithms and models, which may lead to better performance and more accurate results in a wide range of applications.
  2. Increasing adoption of AI by organizations and individuals in various fields, including healthcare, finance, and education, to improve efficiency, accuracy, and decision-making.
  3. Integration of AI with other emerging technologies, such as the Internet of Things (IoT) and blockchain, to create more powerful and flexible solutions.
  4. Further research into the ethical and societal implications of AI, to ensure that its development and use are aligned with the values and interests of all stakeholders.

Overall, the next steps for AI will likely involve continued innovation and experimentation, as well as a focus on creating practical and ethical solutions that can benefit individuals and society as a whole.

What are some of the latest cybersecurity trends you have noticed?

I’m sorry, but I am a large language model trained by OpenAI and do not have the ability to browse the internet or keep up with current events. My knowledge is based on the text that I have been trained on, and my responses are limited to the information contained in that text. My training data has a cutoff date of 2021, so I may not be able to provide accurate or up-to-date information about current cybersecurity trends.

This “interview” was held on December 12, 2022. All the images on this page were created by Artificial Intelligence – DALL·E 2


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Once the above questions have been answered, a disaster recovery and backup readiness index can be calculated based on the following scale: 

  • Level 1: Inadequate – The organization has significant gaps in its disaster recovery and backup posture.  
  • Level 2: Developing – The organization has some disaster recovery and backup processes in place, but significant improvements are needed.  
  • Level 3: Mature – The organization has a mature disaster recovery and backup posture, but there is room for improvement.  
  • Level 4: Robust – The organization has a strong disaster recovery and backup posture and is well-prepared to address potential disruptions.  
  • Level 5: Exceptional – The organization has a comprehensive and mature approach to disaster recovery and backup. 

The disaster recovery and backup readiness index can be calculated by assigning a score of 1-5 to each question based on the level of readiness demonstrated. The scores are then averaged across all questions in each category to determine the readiness level for that category. The overall disaster recovery and backup readiness index is calculated by averaging the readiness levels across all categories. 

Level 1: Basic
You have minimal cybersecurity processes in place and face a high risk of cyberattacks. Immediate attention and significant improvements are necessary to enhance your security posture.

Level 2: Developing
You have some cybersecurity processes in place but require substantial improvements to reach a mature state. You should focus on strengthening your policies, procedures, and security controls.

Level 3: Mature
You have a solid cybersecurity posture, but there is still room for improvement. You should continue enhancing your processes, monitoring capabilities, and incident response practices.

Level 4: Advanced
You have a strong cybersecurity posture and are well-prepared to address potential threats. However, you should remain proactive and stay abreast of emerging threats and technologies to maintain your advanced level of security.

Level 5: Leading
You have a comprehensive and mature approach to cybersecurity. You are a leader in cybersecurity best practices and continually innovate to stay ahead of evolving threats.

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Link do webinaru otrzymają Państwo mailowo dzień przed spotkaniem.

23 Marca 2023

10:00 via MS Teams

Tomasz Woźniak

Thank you!

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