Cyber Security Professionals Can Earn $ 100,000 / Year – Here’s how to pivot with a learning approach
Cyber Security – While cybersecurity jobs are growing rapidly and exhibit high wage growth, many are bullied because of the perception that these jobs require significant technical skills. However, evidence of aggressive security suggests that a growth mindset is far more important: technical information comes and goes, but the attitude remains the same.
Cyberspace remains one of the occupations with the largest wage and employment growth, not only historically, but also over the next decade. For example, employment in information security analyst occupations is projected to grow 31.2% between 2019 and 2029. Similarly, the average earnings for 2019 in these businesses is $ 100,000 / year.
A large skill gap exists. In fact, recent research by Emsi has found that the U.S. Has less than half the cyber security candidates required to handle its demand. This has made it difficult for organizations to find appropriate talent that is capable of acquiring their digital assets and protecting their brand. Information security will only continue to grow significantly as the digital economy expands: theft from malicious cyber attacks leads to revenue, uncertainty, public distrust, and a weak economic and national security base.
Misalignment In Higher Education Drives Talent Gaps
Case Study – Offensive Security
Aggressive Security is one of the world’s leading companies that specializes in training people for a career in information security, providing learning options to become an Aggressive Security Certified Professional (OSCP).
Unlike many other providers in the space, aggressive security not only equips people with technical information, but also a mindset that centers around intellectual curiosity and persistence. Technical information comes and goes, but a mindset lasts forever. This is why science, technology, engineering, and math (STEM) workers often experience a plateau in their earning power: learning new things every day, which you know is going to be depreciation.
A technical background will help, but it is neither a sufficient nor necessary condition to become a successful cyber security worker. It should come as comforting news that so many areas have been killed during the epidemic, from hard art to entertainment, meaning that with patience one can learn some new tricks and a whole host of career opportunities. A new set will be available.
One way that aggressive security helps develop a disciplined and curious mindset is through hands-on training and laboratories that mimic real-world security networks. In particular, his laboratory consists of machines and networks that simulate what hackers are trying to do in the real world.
They have two tracks for “Proving Grounds” training: a free tier (“Proving Grounds Play”) and a paid tier for $ 19 / month (“Proving Grounds Practice”). Both provide machines that you work on and experiment with cyber security and punching techniques, but they vary in difficulty and ability.
Causes For Optimism
Aggressive security is an example of ongoing innovation to improve the way people learn, especially in complex and creative tasks. He showed that it does not matter whether you are really young, or even whether you have a technical background. All you need is the willpower to stay with one task and persevere.
For example, consider Mihai, a 16-year-old high school student from Romania who was eager to learn more about information security. But, Mihai did not debut as a pro – it was the result of countless hours of practice. One who is out of any job gives confidence, but has patience and intellectual curiosity to experiment and learn something new.
There is no playbook to becoming an expert cybercity activist, but with the right tools, diligence and practice pave the way forward. Similar to data science, the same lessons run for skills sets other than cyber security. For example, Datacamp has become a leader in training learners of all ages, who program in different languages and become anything between novice and professional data scientist.
Photo by Dan Nelson