how to become a white hat hacker step by step in 2023

  How to become a white hat hacker with

 AI

To become an AI white hat hacker, you need a good understanding of machine learning and artificial intelligence, technical skills, and cybersecurity knowledge. We will go over the steps you can take to become an AI-based white hat hacker in this article.

Step one:

Understand the Basics of Cybersecurity

Learning the fundamentals of cybersecurity is the first step in becoming a white-hat AI hacker. This necessitates having a thorough comprehension of the various kinds of attacks that hackers can use, the strategies they use to gain access to systems, and the tools and strategies they employ to carry them out. In addition, it is essential to have a thorough comprehension of the various security protocols and technologies that are utilized to safeguard networks and systems from these kinds of attacks.

There are numerous online resources that can be used to get started learning about cybersecurity. You can take courses online, which are frequently offered by cybersecurity companies, training centers, and universities. SANS Institute, Udemy, and Cybrary are a few well-known online training platforms.

There are numerous books and blogs that cover the fundamentals of cybersecurity in addition to online courses. "Hacking Exposed" by Stuart McClure, "Practical Malware Analysis" by Michael Sikorski, and "The Web Application Hacker's Handbook" by Dafydd Stuttard are among the most well-known books on the subject.

It's also a great way to learn to participate in cybersecurity-focused online communities and forums. A well-liked online community, the Open Web Application Security Project (OWASP) offers a wealth of information and resources on web application security. Another online community with forums, conferences, and publications on a variety of cybersecurity topics is the International Association of Computer Science and Information Technology (IACSIT).

You can prepare yourself for the next steps in becoming an AI white hat hacker by using these resources to build a solid foundation in cybersecurity.

Step two:

Learn about AI and machine learning

Learning about machine learning and artificial intelligence (AI) is the second step in becoming a white-hat hacker using AI. This entails learning about the various data types that can be used to train machine learning models as well as the algorithms and methods that are used to train these models.

Learning Python, a well-liked programming language for data analysis and machine learning, is essential to getting started with AI and machine learning. Python is a popular choice for building machine learning models because it has a lot of libraries and frameworks.

Machine learning and artificial intelligence can be learned through a variety of online courses and degree programs. Popular platforms that provide a variety of courses and degree programs in machine learning and AI include Coursera, Udemy, and edX. Data analysis, statistics, machine learning algorithms, and deep learning are all covered in these classes.

Notwithstanding on the web courses and degree programs, there are additionally many books and web journals accessible that cover the essentials of AI and computer based intelligence. Aurélien Géron's "Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow," Sebastian Raschka and Vahid Mirjalili's "Python Machine Learning," and Yoshua Bengio, Ian Goodfellow, and Aaron Courville's "Deep Learning" are some well-known books.

You can prepare yourself for the next step in using machine learning and artificial intelligence for cybersecurity by utilizing these resources.

    

Step three:

Combine AI and cybersecurity

Certainly! You will need to combine your understanding of AI with that of cybersecurity in the third step of becoming a white hat hacker using AI.

 Cyberattacks can be detected and avoided by making use of machine learning and AI algorithms in this process.

Building machine learning models that are able to analyze network traffic in real time is one way to accomplish this. Anomalies that could indicate an attack can be identified by these models, which can be trained on large datasets of normal network traffic. These models are able to identify network-based attacks like denial of service (DoS) attacks, port scanning, and other forms of intrusion attempts by analyzing traffic patterns.

Using machine learning to find flaws in software and systems is another way to combine AI and cybersecurity. Machine learning algorithms, for instance, are capable of analyzing code and locating potential security flaws that adversaries could take advantage of. Security teams can fix these flaws before they can be exploited by highlighting them.

Also, AI can be utilized to further develop existing safety efforts. For instance, machine learning algorithms have the capability of analyzing user behavior in order to identify unusual activity, such as a user attempting to access resources that are not theirs or logging in from an unknown location. By distinguishing these inconsistencies, security groups can answer all the more rapidly to possible dangers.

In conclusion, the use of machine learning and AI algorithms to detect and prevent cyberattacks, identify vulnerabilities, and enhance existing security measures constitutes the combination of cybersecurity and AI. White hat hackers can keep systems and networks safe and stay one step ahead of attackers by utilizing these technologies.

Step four:

Make use of ethical hacking

The fourth move toward turning into a white cap programmer with simulated intelligence is to rehearse moral hacking. 

This means reporting vulnerabilities in systems and networks to the appropriate authorities by utilizing your knowledge of AI and cybersecurity.

Participating in bug bounty programs is one way to engage in ethical hacking. Companies offer these programs to encourage hackers to discover system vulnerabilities. Payouts or other incentives may be offered to hackers who report vulnerabilities. By taking part in these projects, white cap programmers can help organizations distinguish and address security issues before they can be taken advantage of by vindictive entertainers.

Contributing to open source AI and cybersecurity projects is another method of ethical hacking. You can learn more about ethical hacking and contribute to the creation of new security technologies and tools by working on these projects. The internet may become a safer place for everyone as a result of this.

In general, ethical hacking is an essential step toward becoming an AI white hat hacker. It lets you put your skills to good use and contributes to better cybersecurity for everyone.

Step five:

 Get Licensed

Certainly! Obtaining certification is the final step in becoming an AI white hat hacker. There are a number of cybersecurity industry-recognized certifications that can help you stand out to potential employers.

The International Council of E-Commerce Consultants (EC-Council) offers the Certified Ethical Hacker (CEH) certification. Network scanning, vulnerability assessment, and social engineering are just some of the many aspects of ethical hacking that are covered in this certification. You will need to pass an exam that tests your skills and knowledge in these areas in order to get this certification.

The International Information System Security Certification Consortium (ISC)2 offers the Certified Information Systems Security Professional (CISSP) certification2. This certification covers a wide range of cybersecurity-related topics, such as access control, cryptography, and risk management. You will need to pass an exam that tests your knowledge and skills in these areas and have at least five years of professional experience in the cybersecurity field in order to earn this certification.

The Computing Technology Industry Association (CompTIA) offers the CompTIA Security+ certification. This certification covers a wide range of cybersecurity-related topics, such as identity management, security assessments, and threat management. You will need to pass an exam that tests your skills and knowledge in these areas in order to get this certification.

In addition to these certifications, there are numerous others that can assist you in demonstrating your cybersecurity and AI expertise. The Offensive Security Certified Professional (OSCP), the GIAC Certified Incident Handler (GCIH), and the Certified Information Security Manager (CISM) are a few other popular certifications.

Overall, getting certified can help you stand out to potential employers and show that you know a lot about cybersecurity and artificial intelligence. You will be well on your way to a successful career as an AI white hat hacker if you combine your certification and practical experience in ethical hacking.

Conclusion

In conclusion, ethical hacking experience and a comprehensive understanding of cybersecurity and machine learning are required to become a white hat AI hacker. You can develop the skills and knowledge necessary to use AI for cybersecurity and become a valuable member of the cybersecurity community by following the above steps, which include learning the fundamentals of cybersecurity, learning machine learning and AI, combining cybersecurity and AI, practicing ethical hacking, and 

getting certified.

The need for cybersecurity professionals with these skills is also growing as AI usage grows. As a result, individuals who are interested in pursuing a career in this field have access to numerous opportunities. You can position yourself for success as an AI white hat hacker by developing your skills and knowledge in cybersecurity and AI and demonstrating your commitment to ethical hacking practices.