Read the full article below (in Italian):
Cybersecurity jobs are better paid than you might expect. Given the skyrocketing significance of the data protection industry, that shouldn’t come as much of a surprise.
If you’ve been wondering what cybersecurity experts take home at the end of the day, this article will reveal the numbers involved. After all, knowing what you could earn gives a clearer picture of whether this field would be worthwhile endeavor for you or not.
Factors Influencing Cybersecurity Jobs Salary
First, let’s look at what makes one cybersecurity job pay more than another. The distinction goes beyond how good an individual is with computers or their knowledge around firewalls, proxies, and the like. Location is also a big factor. Living in or around tech hubs usually means higher pay, but also much higher living costs.
There is also the factor of experience to consider. The more years in the field, the more your salary will grow.
Also, your education level and qualifications matter, too. However, whatever your skill or education level, demand for cybersecurity talent is high. Businesses everywhere are looking for cyber defenders. Therefore, skilled professionals are in a position to negotiate for high pay for their services.
Cybersecurity Salary Overview: Entry-Level vs. Experienced Workers
So, how much does cybersecurity pay? It’s worth noting that you might not make a huge sum right away. But the growth potential within the field is impressive. Entry-level salaries are decent, but as you climb the ranks, your salary will increase accordingly.
It will also depend on the type of job you do. Penetration testers, security analysts, or CISO chairs all have different salaries at different levels. The main thing to remember is that pay will often reflect your skills, so honing them is the main way to help your future earnings soar.
In Europe, starting figures for cybersecurity salary are around €37,000, and can grow to significant sums as you climb the ranks, especially in roles like CISOs where salaries can reach upwards of €180,000.
How Much Do Cybersecurity Professionals Make Globally?
If you’re thinking of taking your cybersecurity talents on a global tour, know that the cybersecurity average salary varies widely around the world. The figures are influenced by local market demand, economic conditions, and living expenses. However, here is a thought worth considering: remote work is changing the way payments for these fields are distributed globally. Now, you can live in one country and work for a company in another, potentially earning more than the local rate. For that reason, it’s an exciting time to explore international opportunities and the global demand to make the most of your skills.
But how much do cybersecurity professionals make in Europe? The salaries are excellent, but can vary depending on where you live. For instance, if you’re eyeing a spot as an entry-level cybersecurity analyst in Germany, you might be looking at an average of €52,539 ($57,420) in 2024. The numbers naturally vary based on role, experience, and location.
Entry-level cybersecurity analysts in the U.S. have starting salaries of around $68,202, rising up to $112,000 as a median figure. Meanwhile, a cyber security engineer in Japan can expect an average cybersecurity salary of around ¥6,963,427 (approximately USD $55,300) in 2024
Maximizing Your Cybersecurity Salary Potential
While the earnings sound appealing, you need the skills and knowledge to harness your earning potential. To climb the ladder, you must make strategic choices to earn the perks, more than anything, through continuous education. Since technology moves at breakneck speeds, and cyber threats emerge even faster, keeping up and staying ahead of the game means being a lifelong learner. Put simply, your education doesn’t end once you leave college or complete a course. As such, you should get extra certificates to show prospective employers that you aren’t being left behind.
However, don’t neglect the power of networking, either. It goes beyond an online presence or having a LinkedIn account. Engage with the cyber security community, attend industry meetups, present your own findings and projects, and lend a hand with open-source projects. Get to know people and you’ll gain opportunities you wouldn’t find in a job ad.
If you’re looking for a place to boost the skills and connections, OPIT is here to help. OPIT’s career-aligned online programs can catapult you into higher-earning roles.
OPIT’s Master’s in Cybersecurity
OPIT’s master’s program in Cybersecurity is one of the most efficient ways to gain the skills and knowledge that can propel you into the upper echelons of cybersecurity. The program is more than a traditional academic education in computer science and cybersecurity. It’s a challenging undertaking but rewards you with knowledge that you can apply in real-life circumstances right away, through practical sessions and workshops.
Over the course of this program, you’ll tackle digital forensics, encryption, firewalls, security systems, and also the strategic thinking behind secure network design. After all, cybersecurity thrives on critical thinking in stress-intensive circumstances and being flexible and creative enough to come up with solutions “on the spot.” However, you’ll be well-equipped for these trials by learning from the best in the industry, people who’ve been at the forefront of cybersecurity debate for years.
High Risk, High Reward
The salaries people earn within cybersecurity sphere reflect the major demand in the field and the skills necessary to complete the job effectively. If you play your cards right, you might be protecting the systems and IT infrastructures of major businesses, nonprofits, or governmental organizations. However, to get to that point, you must learn, and never stop learning. Just as importantly, never underestimate the power of networking and maintaining good relationships.
Programs like OPIT’s master’s degree in cybersecurity are some of the best ways to hone the skills from anywhere in the world, learning from the best in the industry, all at your own pace. Give it a try and see how much of a difference it can make.
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From the same author
Read the articleSource:
- Agenda Digitale, published on June 16th, 2025
By Lokesh Vij, Professor of Cloud Computing Infrastructure, Cloud Development, Cloud Computing Automation and Ops and Cloud Data Stacks at OPIT – Open Institute of Technology
NIST identifies five key characteristics of cloud computing: on-demand self-service, network access, resource pooling, elasticity, and metered service. These pillars explain the success of the global cloud market of 912 billion in 2025
Read the articleYou’ve probably seen two of the most recent popular social media trends. The first is creating and posting your personalized action figure version of yourself, complete with personalized accessories, from a yoga mat to your favorite musical instrument. There is also the Studio Ghibli trend, which creates an image of you in the style of a character from one of the animation studio’s popular films.
Both of these are possible thanks to OpenAI’s GPT-4o-powered image generator. But what are you risking when you upload a picture to generate this kind of content? More than you might imagine, according to Tom Vazdar, chair of cybersecurity at the Open Institute of Technology (OPIT), in a recent interview with Wired. Let’s take a closer look at the risks and how this issue ties into the issue of responsible artificial intelligence.
Uploading Your Image
To get a personalized image of yourself back from ChatGPT, you need to upload an actual photo, or potentially multiple images, and tell ChatGPT what you want. But in addition to using your image to generate content for you, OpenAI could also be using your willingly submitted image to help train its AI model. Vazdar, who is also CEO and AI & Cybersecurity Strategist at Riskoria and a board member for the Croatian AI Association, says that this kind of content is “a gold mine for training generative models,” but you have limited power over how that image is integrated into their training strategy.
Plus, you are uploading much more than just an image of yourself. Vazdar reminds us that we are handing over “an entire bundle of metadata.” This includes the EXIF data attached to the image, such as exactly when and where the photo was taken. And your photo may have more content in it than you imagine, with the background – including people, landmarks, and objects – also able to be tied to that time and place.
In addition to this, OpenAI also collects data about the device that you are using to engage with the platform, and, according to Vazdar, “There’s also behavioral data, such as what you typed, what kind of image you asked for, how you interacted with the interface and the frequency of those actions.”
After all that, OpenAI knows a lot about you, and soon, so could their AI model, because it is studying you.
How OpenAI Uses Your Data
OpenAI claims that they did not orchestrate these social media trends simply to get training data for their AI, and that’s almost certainly true. But they also aren’t denying that access to that freely uploaded data is a bonus. As Vazdar points out, “This trend, whether by design or a convenient opportunity, is providing the company with massive volumes of fresh, high-quality facial data from diverse age groups, ethnicities, and geographies.”
OpenAI isn’t the only company using your data to train its AI. Meta recently updated its privacy policy to allow the company to use your personal information on Meta-related services, such as Facebook, Instagram, and WhatsApp, to train its AI. While it is possible to opt-out, Meta isn’t advertising that fact or making it easy, which means that most users are sharing their data by default.
You can also control what happens with your data when using ChatGPT. Again, while not well publicized, you can use ChatGPT’s self-service tools to access, export, and delete your personal information, and opt out of having your content used to improve OpenAI’s model. Nevertheless, even if you choose these options, it is still worth it to strip data like location and time from images before uploading them and to consider the privacy of any images, including people and objects in the background, before sharing.
Are Data Protection Laws Keeping Up?
OpenAI and Meta need to provide these kinds of opt-outs due to data protection laws, such as GDPR in the EU and the UK. GDPR gives you the right to access or delete your data, and the use of biometric data requires your explicit consent. However, your photo only becomes biometric data when it is processed using a specific technical measure that allows for the unique identification of an individual.
But just because ChatGPT is not using this technology, doesn’t mean that ChatGPT can’t learn a lot about you from your images.
AI and Ethics Concerns
But you might wonder, “Isn’t it a good thing that AI is being trained using a diverse range of photos?” After all, there have been widespread reports in the past of AI struggling to recognize black faces because they have been trained mostly on white faces. Similarly, there have been reports of bias within AI due to the information it receives. Doesn’t sharing from a wide range of users help combat that? Yes, but there is so much more that could be done with that data without your knowledge or consent.
One of the biggest risks is that the data can be manipulated for marketing purposes, not just to get you to buy products, but also potentially to manipulate behavior. Take, for instance, the Cambridge Analytica scandal, which saw AI used to manipulate voters and the proliferation of deepfakes sharing false news.
Vazdar believes that AI should be used to promote human freedom and autonomy, not threaten it. It should be something that benefits humanity in the broadest possible sense, and not just those with the power to develop and profit from AI.
Responsible Artificial Intelligence
OPIT’s Master’s in Responsible AI combines technical expertise with a focus on the ethical implications of AI, diving into questions such as this one. Focusing on real-world applications, the course considers sustainable AI, environmental impact, ethical considerations, and social responsibility.
Completed over three or four 13-week terms, it starts with a foundation in technical artificial intelligence and then moves on to advanced AI applications. Students finish with a Capstone project, which sees them apply what they have learned to real-world problems.
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Related posts
Source:
- Agenda Digitale, published on June 16th, 2025
By Lokesh Vij, Professor of Cloud Computing Infrastructure, Cloud Development, Cloud Computing Automation and Ops and Cloud Data Stacks at OPIT – Open Institute of Technology
NIST identifies five key characteristics of cloud computing: on-demand self-service, network access, resource pooling, elasticity, and metered service. These pillars explain the success of the global cloud market of 912 billion in 2025
Read the full article below (in Italian):
You’ve probably seen two of the most recent popular social media trends. The first is creating and posting your personalized action figure version of yourself, complete with personalized accessories, from a yoga mat to your favorite musical instrument. There is also the Studio Ghibli trend, which creates an image of you in the style of a character from one of the animation studio’s popular films.
Both of these are possible thanks to OpenAI’s GPT-4o-powered image generator. But what are you risking when you upload a picture to generate this kind of content? More than you might imagine, according to Tom Vazdar, chair of cybersecurity at the Open Institute of Technology (OPIT), in a recent interview with Wired. Let’s take a closer look at the risks and how this issue ties into the issue of responsible artificial intelligence.
Uploading Your Image
To get a personalized image of yourself back from ChatGPT, you need to upload an actual photo, or potentially multiple images, and tell ChatGPT what you want. But in addition to using your image to generate content for you, OpenAI could also be using your willingly submitted image to help train its AI model. Vazdar, who is also CEO and AI & Cybersecurity Strategist at Riskoria and a board member for the Croatian AI Association, says that this kind of content is “a gold mine for training generative models,” but you have limited power over how that image is integrated into their training strategy.
Plus, you are uploading much more than just an image of yourself. Vazdar reminds us that we are handing over “an entire bundle of metadata.” This includes the EXIF data attached to the image, such as exactly when and where the photo was taken. And your photo may have more content in it than you imagine, with the background – including people, landmarks, and objects – also able to be tied to that time and place.
In addition to this, OpenAI also collects data about the device that you are using to engage with the platform, and, according to Vazdar, “There’s also behavioral data, such as what you typed, what kind of image you asked for, how you interacted with the interface and the frequency of those actions.”
After all that, OpenAI knows a lot about you, and soon, so could their AI model, because it is studying you.
How OpenAI Uses Your Data
OpenAI claims that they did not orchestrate these social media trends simply to get training data for their AI, and that’s almost certainly true. But they also aren’t denying that access to that freely uploaded data is a bonus. As Vazdar points out, “This trend, whether by design or a convenient opportunity, is providing the company with massive volumes of fresh, high-quality facial data from diverse age groups, ethnicities, and geographies.”
OpenAI isn’t the only company using your data to train its AI. Meta recently updated its privacy policy to allow the company to use your personal information on Meta-related services, such as Facebook, Instagram, and WhatsApp, to train its AI. While it is possible to opt-out, Meta isn’t advertising that fact or making it easy, which means that most users are sharing their data by default.
You can also control what happens with your data when using ChatGPT. Again, while not well publicized, you can use ChatGPT’s self-service tools to access, export, and delete your personal information, and opt out of having your content used to improve OpenAI’s model. Nevertheless, even if you choose these options, it is still worth it to strip data like location and time from images before uploading them and to consider the privacy of any images, including people and objects in the background, before sharing.
Are Data Protection Laws Keeping Up?
OpenAI and Meta need to provide these kinds of opt-outs due to data protection laws, such as GDPR in the EU and the UK. GDPR gives you the right to access or delete your data, and the use of biometric data requires your explicit consent. However, your photo only becomes biometric data when it is processed using a specific technical measure that allows for the unique identification of an individual.
But just because ChatGPT is not using this technology, doesn’t mean that ChatGPT can’t learn a lot about you from your images.
AI and Ethics Concerns
But you might wonder, “Isn’t it a good thing that AI is being trained using a diverse range of photos?” After all, there have been widespread reports in the past of AI struggling to recognize black faces because they have been trained mostly on white faces. Similarly, there have been reports of bias within AI due to the information it receives. Doesn’t sharing from a wide range of users help combat that? Yes, but there is so much more that could be done with that data without your knowledge or consent.
One of the biggest risks is that the data can be manipulated for marketing purposes, not just to get you to buy products, but also potentially to manipulate behavior. Take, for instance, the Cambridge Analytica scandal, which saw AI used to manipulate voters and the proliferation of deepfakes sharing false news.
Vazdar believes that AI should be used to promote human freedom and autonomy, not threaten it. It should be something that benefits humanity in the broadest possible sense, and not just those with the power to develop and profit from AI.
Responsible Artificial Intelligence
OPIT’s Master’s in Responsible AI combines technical expertise with a focus on the ethical implications of AI, diving into questions such as this one. Focusing on real-world applications, the course considers sustainable AI, environmental impact, ethical considerations, and social responsibility.
Completed over three or four 13-week terms, it starts with a foundation in technical artificial intelligence and then moves on to advanced AI applications. Students finish with a Capstone project, which sees them apply what they have learned to real-world problems.
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