What does an average day look like for somebody working in cybersecurity?
That isn’t an easy question to answer when you consider the vastness of the field. Somebody who works in cybersecurity needs to stay constantly abreast of industry changes – especially new attacks cooked up by cybercriminals – and help their employers create and tweak their security plans.
However, thanks to Tom , who has developed the Open Institute of Technology’s (OPIT’s) Master’s Degree in Enterprise Cybersecurity, we can provide some insight into what your average day may look like.
Who Is Tom ?
Serving as the Program Chair of OPIT’s upcoming Master’s Degree in Cybersecurity, Tom brings a vast amount of practical experience to the table. His work has spanned the globe. Tom has been employed as the Chief Security Officer for a major Croatian bank, in addition to serving as the Chief Information Officer for a company in the United States’ manufacturing sector.
His practical experience spans other industries – including technology and finance – and he’s currently completing a doctorate while running his own practice. Tom’s specialty is the behavioral aspect of cybersecurity. His deep understanding of the “culture” that surrounds the field has been shaped by his work on development strategies, policies, and frameworks for his past employers.
The Importance of Trends
The first thing Tom highlights is that a cybersecurity professional has to follow the trends in the industry. As he points out: “We are living in an era where digital transformation is accelerating, and with it, the complexity and frequency of cyber threats are also increasing.” To demonstrate this, he points to an ISACA report published in 2023 showing that cyber attacks have increased 48% in 2023 compared to 2022. More worryingly, 62% of the organizations that experience these attacks underreport them – an indication that many simply don’t have the talent to truly understand the threat they face.
As a cybersecurity professional, your role is to provide the expertise such companies are sorely lacking.
Thankfully, many business leaders understand that they need this expertise. Tom points out that 59% of leaders say they’re understaffed in the cyber department, leading to a rising demand for people with the following technical skills:
- Identity and access management
- Data protection
- Cloud computing
- DevSecOps (development, security, and operations)
Furthermore, Tom says that artificial intelligence (AI) is completely transforming the cybersecurity industry. While AI is often beneficial to professionals in the field – it can enhance threat detection and response – it is also a danger. Malicious entities can use AI to conduct a new wave of attacks, such as data poisoning, for which you need to be prepared as a cybersecurity professional.
Tom’s discussion of these emerging trends highlights one of the most critical aspects of a day in the life of a cybersecurity professional – learning is key. There is no such thing as static knowledge because the industry (and the attacks your company may face) constantly evolve.
An Average Day Broken Down
Now that you understand how important staying on top of the ever-changing trends in cybersecurity is for those in the field, it’s possible to break things down a little further. On an average day, you may find yourself working on any, some, or even all of the following tasks.
Developing and Maintaining a Cybersecurity Strategy
Given that such a large number of business leaders are understaffed and have minimal access to appropriate talent, you’ll often be tasked with creating and maintaining a company’s cybersecurity strategy.
This strategy is not as simple as creating a collection of actions to take in the event of an attack.
Tom emphasizes not only the importance of proactivity, but also of integrating a cybersecurity strategy into the wider business strategy. “It becomes part of the mission and vision,” he says. “After all, there are two things that are important to companies – their data and customer trust. If you lose customer trust, you lose your business. If you lose your data, you lose your business.”
As a technically adept professional, you’ll be tasked with building a strategy that grows ever more complex as the threats the company faces become more advanced. New technologies – such as AI and machine learning – will be used against you, with your main task being to ensure the strategy you create can fend off such technologically-empowered attacks.
The Simpler Day-to-Day
Now, let’s move away from the complexities of developing an overarching plan and go into more detail about daily responsibilities. A cybersecurity professional is usually tasked with dealing with the day-to-day maintenance of systems.
It’s all about control.
Tom says that much of the role involves proactively identifying new protective measures. For instance, software patching is key – outdated software has vulnerabilities that a hacker can exploit. You’ll need to stay up to date on the development of patches for the software your company uses and, crucially, implement those patches as soon as they’re available.
Creating regular backups is also part of this day-to-day work. It’s an area that many businesses neglect – perhaps assuming that nothing bad can happen to them – but a backup will be a lifesaver if a hacker compromises your company’s main data stores.
Tending to Your Ecosystem
It’s not simply your own institution that you must maintain as a cybersecurity professional – everyone who interacts with that institution must also be managed. Vendors, external software developers, and any other part of your supply chain need to be as risk-aware as your business. As Tom puts it: “If they don’t care about vulnerabilities in their system, and they work for you as a company, then you’ll have an issue because their risk suddenly becomes your risk.”
As such, managing the cyber security aspect of your company’s relationships with its partners is a vital part of your duties. You may engage in planning with those partners, helping them improve their practices, or cooperate with them to create strategies encompassing your entire supply chain.
Continued Education
Tom goes on to highlight just how important continued education is to the success of a cybersecurity professional. “It’s always interesting. And if you’re really passionate about it, cybersecurity becomes your lifestyle,” he says. “You want to see what’s new. What are the new attack methods, what are your competitors doing, and what is new on the market.”
He points to a simple example – phishing emails.
These emails – which were traditionally laden with spelling errors that made them easier to spot – are becoming increasingly hard to detect thanks to the use of AI. They’re written better. Failure to understand and adapt to that fact could make it harder to educate yourself and the people in your company.
Your average day may also involve educating your colleagues about upcoming threats and new attack methods they need to understand. The phishing example Tom shares applies here. Any email that looks somewhat legitimate is a threat, so continued education of your colleagues is essential to stop that threat from having its intended effect.
An Example of a Typical Project
Given how vast the cybersecurity field is, the range of projects you may work on will vary enormously. However, Tom provides an example of when he worked in the banking industry and saw the rise of the Zeus Botnet.
In this case, his responsibilities were twofold.
First – finding a way to defend against botnet attacks. That involved researching the malware to figure out how it spread, allowing him to put protective measures in place to prevent that spread. The second task involved creating educational programs, both for employees and his bank’s clients, to make them aware of the Zeus Botnet.
Here, we see the education part of the cybersecurity professional’s “average day” coming into play, complementing the more technical aspects of dealing with malware. We even see supply chain risk coming into play – each client is part of the bank’s supply chain, meaning they need to understand how to defend themselves just as much as the bank does.
The Qualifications Needed to Work in Cybersecurity
With a multitude of cybersecurity qualifications available – many covering specific niches – it’s tough to find the appropriate one to make you attractive to an employer. That’s where Tom’s work with OPIT comes in. The master’s degree that he’s developing not only focuses on the technical skills a professional needs but places those skills in a business context.
The upcoming course will offer electives in subjects such as AI, cloud security, and IoT security, granting students flexibility to pursue a specialization within their degree. The overall program is also closely aligned to industry certifications – such as those offered by CISSP – to ensure graduates are as industry-ready as they are academically qualified.
The intention, Tom says, is to fill the skills gap that 3 million businesses say they have in cybersecurity. The program provides the right blend of knowledge between technical and managerial skills, in addition to allowing students to pursue subjects of particular interest to them.
Ultimately, it doesn’t teach absolutely everything that you could learn about the industry. No course can. But it does equip you with key foundational knowledge aligned with industry certifications that make you more employable. That, combined with your continued education and completion of relevant certifications once you’re employed, means you have an enormous opportunity to build a successful cybersecurity career with OPIT.
So, the qualifications needed for the industry start with a relevant degree. They then blossom out. Professionals focus on courses that meet the specific requirements of their roles so that they learn the cybersecurity techniques that are most effective for their needs.
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Source:
- Raconteur, published on November 06th, 2025
Many firms have conducted successful Artificial Intelligence (AI) pilot projects, but scaling them across departments and workflows remains a challenge. Inference costs, data silos, talent gaps and poor alignment with business strategy are just some of the issues that leave organisations trapped in pilot purgatory. This inability to scale successful experiments means AI’s potential for improving enterprise efficiency, decision-making and innovation isn’t fully realised. So what’s the solution?
Although it’s not a magic bullet, an AI operating model is really the foundation for scaling pilot projects up to enterprise-wide deployments. Essentially it’s a structured framework that defines how the organisation develops, deploys and governs AI. By bringing together infrastructure, data, people, and governance in a flexible and secure way, it ensures that AI delivers value at scale while remaining ethical and compliant.
“A successful AI proof-of-concept is like building a single race car that can go fast,” says Professor Yu Xiong, chair of business analytics at the UK-based Surrey Business School. “An efficient AI technology operations model, however, is the entire system – the processes, tools, and team structures – for continuously manufacturing, maintaining, and safely operating an entire fleet of cars.”
But while the importance of this framework is clear, how should enterprises establish and embed it?
“It begins with a clear strategy that defines objectives, desired outcomes, and measurable success criteria, such as model performance, bias detection, and regulatory compliance metrics,” says Professor Azadeh Haratiannezhadi, co-founder of generative AI company Taktify and professor of generative AI in cybersecurity at OPIT – the Open Institute of Technology.
Platforms, tools and MLOps pipelines that enable models to be deployed, monitored and scaled in a safe and efficient way are also essential in practical terms.
“Tools and infrastructure must also be selected with transparency, cost, and governance in mind,” says Efrain Ruh, continental chief technology officer for Europe at Digitate. “Crucially, organisations need to continuously monitor the evolving AI landscape and adapt their models to new capabilities and market offerings.”
An open approach
The most effective AI operating models are also founded on openness, interoperability and modularity. Open source platforms and tools provide greater control over data, deployment environments and costs, for example. These characteristics can help enterprises to avoid vendor lock-in, successfully align AI to business culture and values, and embed it safely into cross-department workflows.
“Modularity and platformisation…avoids building isolated ‘silos’ for each project,” explains professor Xiong. “Instead, it provides a shared, reusable ‘AI platform’ that integrates toolchains for data preparation, model training, deployment, monitoring, and retraining. This drastically improves efficiency and reduces the cost of redundant work.”
A strong data strategy is equally vital for ensuring high-quality performance and reducing bias. Ideally, the AI operating model should be cloud and LLM agnostic too.
“This allows organisations to coordinate and orchestrate AI agents from various sources, whether that’s internal or 3rd party,” says Babak Hodjat, global chief technology officer of AI at Cognizant. “The interoperability also means businesses can adopt an agile iterative process for AI projects that is guided by measuring efficiency, productivity, and quality gains, while guaranteeing trust and safety are built into all elements of design and implementation.”
A robust AI operating model should feature clear objectives for compliance, security and data privacy, as well as accountability structures. Richard Corbridge, chief information officer of Segro, advises organisations to: “Start small with well-scoped pilots that solve real pain points, then bake in repeatable patterns, data contracts, test harnesses, explainability checks and rollback plans, so learning can be scaled without multiplying risk. If you don’t codify how models are approved, deployed, monitored and retired, you won’t get past pilot purgatory.”
Of course, technology alone can’t drive successful AI adoption at scale: the right skills and culture are also essential for embedding AI across the enterprise.
“Multidisciplinary teams that combine technical expertise in AI, security, and governance with deep business knowledge create a foundation for sustainable adoption,” says Professor Haratiannezhadi. “Ongoing training ensures staff acquire advanced AI skills while understanding associated risks and responsibilities.”
Ultimately, an AI operating model is the playbook that enables an enterprise to use AI responsibly and effectively at scale. By drawing together governance, technological infrastructure, cultural change and open collaboration, it supports the shift from isolated experiments to the kind of sustainable AI capability that can drive competitive advantage.
In other words, it’s the foundation for turning ambition into reality, and finally escaping pilot purgatory for good.
The Open Institute of Technology (OPIT) is the perfect place for those looking to master the core skills and gain the fundamental knowledge they need to enter the exciting and dynamic environment of the tech industry. While OPIT’s various degrees and courses unlock the doors to numerous careers, students may not know exactly which line of work they wish to enter, or how, exactly, to take the next steps.
That’s why, as well as providing exceptional online education in fields like Responsible AI, Computer Science, and Digital Business, OPIT also offers an array of career-related services, like the Peer Career Mentoring Program. Designed to provide the expert advice and support students need, this program helps students and alumni gain inspiration and insight to map out their future careers.
Introducing the OPIT Peer Career Mentoring Program
As the name implies, OPIT’s Peer Career Mentoring Program is about connecting students and alumni with experienced peers to provide insights, guidance, and mentorship and support their next steps on both a personal and professional level.
It provides a highly supportive and empowering space in which current and former learners can receive career-related advice and guidance, harnessing the rich and varied experiences of the OPIT community to accelerate growth and development.
Meet the Mentors
Plenty of experienced, expert mentors have already signed up to play their part in the Peer Career Mentoring Program at OPIT. They include managers, analysts, researchers, and more, all ready and eager to share the benefits of their experience and their unique perspectives on the tech industry, careers in tech, and the educational experience at OPIT.
Examples include:
- Marco Lorenzi: Having graduated from the MSc in Applied Data Science and AI program at OPIT, Marco has since progressed to a role as a Prompt Engineer at RWS Group and is passionate about supporting younger learners as they take their first steps into the workforce or seek career evolution.
- Antonio Amendolagine: Antonio graduated from the OPIT MSc in Applied Data Science and AI and currently works as a Product Marketing and CRM Manager with MER MEC SpA, focusing on international B2B businesses. Like other mentors in the program, he enjoys helping students feel more confident about achieving their future aims.
- Asya Mantovani: Asya took the MSc in Responsible AI program at OPIT before taking the next steps in her career as a Software Engineer with Accenture, one of the largest IT companies in the world, and a trusted partner of the institute. With a firm belief in knowledge-sharing and mutual support, she’s eager to help students progress and succeed.
The Value of the Peer Mentoring Program
The OPIT Peer Career Mentoring Program is an invaluable source of support, inspiration, motivation, and guidance for the many students and graduates of OPIT who feel the need for a helping hand or guiding light to help them find the way or make the right decisions moving forward. It’s a program built around the sharing of wisdom, skills, and insights, designed to empower all who take part.
Every student is different. Some have very clear, fixed, and firm objectives in mind for their futures. Others may have a slightly more vague outline of where they want to go and what they want to do. Others live more in the moment, focusing purely on the here and now, but not thinking too far ahead. All of these different types of people may need guidance and support from time to time, and peer mentoring provides that.
This program is also just one of many ways in which OPIT bridges the gaps between learners around the world, creating a whole community of students and educators, linked together by their shared passions for technology and development. So, even though you may study remotely at OPIT, you never need to feel alone or isolated from your peers.
Additional Career Services Offered by OPIT
The Peer Career Mentoring Program is just one part of the larger array of career services that students enjoy at the Open Institute of Technology.
- Career Coaching and Support: Students can schedule one-to-one sessions with the institute’s experts to receive insightful feedback, flexibly customized to their exact needs and situation. They can request resume audits, hone their interview skills, and develop action plans for the future, all with the help of experienced, expert coaches.
- Resource Hub: Maybe you need help differentiating between various career paths, or seeing where your degree might take you. Or you need a bit of assistance in handling the challenges of the job-hunting process. Either way, the OPIT Resource Hub contains the in-depth guides you need to get ahead and gain practical skills to confidently move forward.
- Career Events: Regularly, OPIT hosts online career event sessions with industry experts and leaders as guest speakers about the topics that most interest today’s tech students and graduates. You can join workshops to sharpen your skills and become a better prospect in the job market, or just listen to the lessons and insights of the pros.
- Internship Opportunities: There are few better ways to begin your professional journey than an internship at a top-tier company. OPIT unlocks the doors to numerous internship roles with trusted institute partners, as well as additional professional and project opportunities where you can get hands-on work experience at a high level.
In addition to the above, OPIT also teams up with an array of leading organizations around the world, including some of the biggest names, including AWS, Accenture, and Hype. Through this network of trust, OPIT facilitates students’ steps into the world of work.
Start Your Study Journey Today
As well as the Peer Career Mentoring Program, OPIT provides numerous other exciting advantages for those who enroll, including progressive assessments, round-the-clock support, affordable rates, and a team of international professors from top universities with real-world experience in technology. In short, it’s the perfect place to push forward and get the knowledge you need to succeed.
So, if you’re eager to become a tech leader of tomorrow, learn more about OPIT today.
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