The world is becoming a more dangerous place, especially where company data and system integrity are concerned. Globally, data breaches cost organizations an average of $4.45 million in 2023, and business owners should not expect good news when the 2024 figures are made available.

The increasing threats of ransomware and phishing, two of the most prevalent threats, have motivated many businesses to increase their focus on cybersecurity. The result is increased demand for cybersecurity professionals. For those thinking about a career in the ever-evolving field of cybersecurity, learning more about the best cybersecurity certifications is essential.

Understanding the Cybersecurity Certification Landscape

As the sophistication of cyberattacks grows, so does the demand for IT professionals with certifications or degrees. Prospective employers need to know that the staff they onboard will add value to the organization. One of the ways these employers can enjoy peace of mind is by knowing that their employees are up to date with the latest developments in the cybersecurity field.

Put simply, a certificate validates the skills and knowledge of the holder. That can make all the difference when it comes to professional development. However, that certification must be provided by a recognized and accredited education provider. Finding the best cybersecurity certification can be a daunting task due to the wealth of options. Making the right decision is essential.

Identifying the Best Certifications for Cybersecurity

CyberSeek research has revealed that only 72 cybersecurity professionals are available for every 100 cybersecurity jobs (from September 2022 to August 2023). That means that demand for certified professionals is at an all-time high.

Given the opportunities in the cybersecurity field, it is no surprise that the field of certification is extremely competitive. However, as with most educational offerings, there are good certifications, and there are great certifications.

What factors should the prospective student take into account when making their choice?

  • Industry recognition. A great supplier of cybersecurity certifications will usually showcase the companies that recognize their certifications as world-class. It’s a sure sign that they can deliver exceptional career opportunities.
  • Real-world experience. The best cybersecurity certifications will include coursework that combines the theoretical with the practical. Look for certifications that have components offering students experience with real-world challenges.
  • Accreditation. Ensure that the cybersecurity certification provider is accredited by a leading qualifications body. An example is accreditation as an Online Higher Education institution by regulatory bodies like the MFHEA (under the European Qualification Framework).
  • Flexibility. It is more and more common for certification courses to be offered over the internet. These courses allow the student to study when and where they want.
  • Scope of offerings. The cybersecurity field is complex, so make sure that the cybersecurity certification you choose has coursework that applies to your vision for professional growth.

Whether you opt for a consulting role, a specialization, or see yourself as a future board member choosing the best cybersecurity certification is vital.

Exploring the Best Cybersecurity Certificate Programs

Choose your program carefully. Although most cybersecurity jobs require at least a bachelor’s degree, many hiring managers will focus on candidates who add value through top cybersecurity certifications that complement their existing qualifications.

1. Google Cybersecurity Professional Certificate

For those starting on their cybersecurity journey, the cybersecurity certification from Google is an attractive option. The certification focuses on on-demand skills, and you can complete your studies in around six months. During the flexible course, students will learn about the importance of cybersecurity practices and how those practices impact organizations.

This foundational certification is ideal for those seeking a career as a cybersecurity analyst, security operations center (SOC) analyst, or security analyst.

2. CompTIA Security+

This certification is ideal for students looking to build foundational skills for almost any cybersecurity role. It provides companies with a validation that the certificate holder is able to monitor and secure mobile and cloud applications and the Internet of Things (IoT) environments. The best cybersecurity certificates also ensure students understand the laws and regulations related to risk and compliance.

This certification can be the foundation of a career as a systems administrator, security engineer, IT auditor, or cloud engineer (among others).

3. Certified Information Systems Security Professional (CISSP)

For professionals who want to take their cybersecurity skills and careers to new heights, the CISSP certification ticks all the right boxes. It underlines the applicant’s experience in IT security and their skills in developing, implementing, and monitoring a state-of-the-art cybersecurity program.

Students will require five years of cumulative work experience and a four-year degree in computer science – part-time work or paid internships count towards work experience.

This certification will open up opportunities as a chief information security officer, a security administrator, or a top-flight security consultant.

There are numerous programs for motivated professionals interested in either launching or furthering a career in cybersecurity, but a recognized certification from an accredited and trusted education provider is the key to success.

OPIT’s MSc in Enterprise Cybersecurity: A Unique Opportunity

OPIT’s postgraduate MSc in Enterprise Cybersecurity will take between a year and 18 months to complete. Courses are delivered online, allowing students to learn when and where they prefer.

This certification is designed to align with the four most important foundational industry certifications: CISSP, CISM, CRISC, and CEH.

The program provides employers with a certified professional skilled in both technical and managerial roles, fulfilling an urgent need for multidisciplinary cybersecurity resources. The coursework combines core theoretical concepts, real-world application, and soft skills, dovetailing neatly with the strategic needs of the modern organization.

The Master’s from OPIT is the best cybersecurity certification for IT professionals interested in a career as:

  • Chief Information Security Officer (CISO)
  • Security Solutions Architect
  • Cybersecurity Manager/Director
  • Cybersecurity Risk Analyst
  • Cybersecurity Compliance Officer
  • Incident Response Manager
  • Cloud Security Manager

The Advantage of a Comprehensive Education With OPIT

The business world, and especially the world of cybersecurity, is complex and fast-evolving. Businesses require employees with an education aligned with the needs of the industry to cope with the ever-accelerating rate of change.

The best cybersecurity certifications, such as the MSc in Enterprise Cybersecurity from OPIT, provide a mix of technical and management skills aligned with industry demands and standards for a holistic educational approach. This allows graduates to deepen their understanding of the challenges of cybersecurity issues and how they impact business strategy and day-to-day operations.

Elevate Your Career With OPIT

The cybersecurity environment is complex. Employers want to know that their IT professionals can deal with complexity. This makes getting the best cybersecurity certification essential.

The reputation and accreditation of the certificate provider are essential, but keep your chosen career path in mind. Make sure that the certificate coursework combines theory and practical cybersecurity experience. The OPIT MSc in Enterprise Cybersecurity provides professionals with a unique career-focused advantage by integrating certification preparation with accessible, specialized education.

The result is a well-rounded, expert employee who is intimately familiar with the evolving challenges of cybersecurity, and that is the secret of success.

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CCN: Australia Tightens Crypto Oversight as Exchanges Expand, Testing Industry’s Appetite for Regulation
OPIT - Open Institute of Technology
OPIT - Open Institute of Technology
Mar 31, 2025 3 min read

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  • CCN, published on March 29th, 2025

By Kurt Robson

Over the past few months, Australia’s crypto industry has undergone a rapid transformation following the government’s proposal to establish a stricter set of digital asset regulations.

A series of recent enforcement measures and exchange launches highlight the growing maturation of Australia’s crypto landscape.

Experts remain divided on how the new rules will impact the country’s burgeoning digital asset industry.

New Crypto Regulation

On March 21, the Treasury Department said that crypto exchanges and custody services will now be classified under similar rules as other financial services in the country.

“Our legislative reforms will extend existing financial services laws to key digital asset platforms, but not to all of the digital asset ecosystem,” the Treasury said in a statement.

The rules impose similar regulations as other financial services in the country, such as obtaining a financial license, meeting minimum capital requirements, and safeguarding customer assets.

The proposal comes as Australian Prime Minister Anthony Albanese’s center-left Labor government prepares for a federal election on May 17.

Australia’s opposition party, led by Peter Dutton, has also vowed to make crypto regulation a top priority of the government’s agenda if it wins.

Australia’s Crypto Growth

Triple-A data shows that 9.6% of Australians already own digital assets, with some experts believing new rules will push further adoption.

Europe’s largest crypto exchange, WhiteBIT, announced it was entering the Australian market on Wednesday, March 26.

The company said that Australia was “an attractive landscape for crypto businesses” despite its complexity.

In March, Australia’s Swyftx announced it was acquiring New Zealand’s largest cryptocurrency exchange for an undisclosed sum.

According to the parties, the merger will create the second-largest platform in Australia by trading volume.

“Australia’s new regulatory framework is akin to rolling out the welcome mat for cryptocurrency exchanges,” Alexander Jader, professor of Digital Business at the Open Institute of Technology, told CCN.

“The clarity provided by these regulations is set to attract a wave of new entrants,” he added.

Jader said regulatory clarity was “the lifeblood of innovation.” He added that the new laws can expect an uptick “in both local and international exchanges looking to establish a foothold in the market.”

However, Zoe Wyatt, partner and head of Web3 and Disruptive Technology at Andersen LLP, believes that while the new rules will benefit more extensive exchanges looking for more precise guidelines, they will not “suddenly turn Australia into a global crypto hub.”

“The Web3 community is still largely looking to the U.S. in anticipation of a more crypto-friendly stance from the Trump administration,” Wyatt added.

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Agenda Digitale: Generative AI in the Enterprise – A Guide to Conscious and Strategic Use
OPIT - Open Institute of Technology
OPIT - Open Institute of Technology
Mar 31, 2025 6 min read

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By Zorina Alliata, Professor of Responsible Artificial Intelligence e Digital Business & Innovation at OPIT – Open Institute of Technology

Integrating generative AI into your business means innovating, but also managing risks. Here’s how to choose the right approach to get value

The adoption of generative AI in the enterprise is growing rapidly, bringing innovation to decision-making, creativity and operations. However, to fully exploit its potential, it is essential to define clear objectives and adopt strategies that balance benefits and risks.

Over the course of my career, I have been fortunate to experience firsthand some major technological revolutions – from the internet boom to the “renaissance” of artificial intelligence a decade ago with machine learning.

However, I have never seen such a rapid rate of adoption as the one we are experiencing now, thanks to generative AI. Although this type of AI is not yet perfect and presents significant risks – such as so-called “hallucinations” or the possibility of generating toxic content – ​​it fills a real need, both for people and for companies, generating a concrete impact on communication, creativity and decision-making processes.

Defining the Goals of Generative AI in the Enterprise

When we talk about AI, we must first ask ourselves what problems we really want to solve. As a teacher and consultant, I have always supported the importance of starting from the specific context of a company and its concrete objectives, without inventing solutions that are as “smart” as they are useless.

AI is a formidable tool to support different processes: from decision-making to optimizing operations or developing more accurate predictive analyses. But to have a significant impact on the business, you need to choose carefully which task to entrust it with, making sure that the solution also respects the security and privacy needs of your customers .

Understanding Generative AI to Adopt It Effectively

A widespread risk, in fact, is that of being guided by enthusiasm and deploying sophisticated technology where it is not really needed. For example, designing a system of reviews and recommendations for films requires a certain level of attention and consumer protection, but it is very different from an X-ray reading service to diagnose the presence of a tumor. In the second case, there is a huge ethical and medical risk at stake: it is necessary to adapt the design, control measures and governance of the AI ​​to the sensitivity of the context in which it will be used.

The fact that generative AI is spreading so rapidly is a sign of its potential and, at the same time, a call for caution. This technology manages to amaze anyone who tries it: it drafts documents in a few seconds, summarizes or explains complex concepts, manages the processing of extremely complex data. It turns into a trusted assistant that, on the one hand, saves hours of work and, on the other, fosters creativity with unexpected suggestions or solutions.

Yet, it should not be forgotten that these systems can generate “hallucinated” content (i.e., completely incorrect), or show bias or linguistic toxicity where the starting data is not sufficient or adequately “clean”. Furthermore, working with AI models at scale is not at all trivial: many start-ups and entrepreneurs initially try a successful idea, but struggle to implement it on an infrastructure capable of supporting real workloads, with adequate governance measures and risk management strategies. It is crucial to adopt consolidated best practices, structure competent teams, define a solid operating model and a continuous maintenance plan for the system.

The Role of Generative AI in Supporting Business Decisions

One aspect that I find particularly interesting is the support that AI offers to business decisions. Algorithms can analyze a huge amount of data, simulating multiple scenarios and identifying patterns that are elusive to the human eye. This allows to mitigate biases and distortions – typical of exclusively human decision-making processes – and to predict risks and opportunities with greater objectivity.

At the same time, I believe that human intuition must remain key: data and numerical projections offer a starting point, but context, ethics and sensitivity towards collaborators and society remain elements of human relevance. The right balance between algorithmic analysis and strategic vision is the cornerstone of a responsible adoption of AI.

Industries Where Generative AI Is Transforming Business

As a professor of Responsible Artificial Intelligence and Digital Business & Innovation, I often see how some sectors are adopting AI extremely quickly. Many industries are already transforming rapidly. The financial sector, for example, has always been a pioneer in adopting new technologies: risk analysis, fraud prevention, algorithmic trading, and complex document management are areas where generative AI is proving to be very effective.

Healthcare and life sciences are taking advantage of AI advances in drug discovery, advanced diagnostics, and the analysis of large amounts of clinical data. Sectors such as retail, logistics, and education are also adopting AI to improve their processes and offer more personalized experiences. In light of this, I would say that no industry will be completely excluded from the changes: even “humanistic” professions, such as those related to medical care or psychological counseling, will be able to benefit from it as support, without AI completely replacing the relational and care component.

Integrating Generative AI into the Enterprise: Best Practices and Risk Management

A growing trend is the creation of specialized AI services AI-as-a-Service. These are based on large language models but are tailored to specific functionalities (writing, code checking, multimedia content production, research support, etc.). I personally use various AI-as-a-Service tools every day, deriving benefits from them for both teaching and research. I find this model particularly advantageous for small and medium-sized businesses, which can thus adopt AI solutions without having to invest heavily in infrastructure and specialized talent that are difficult to find.

Of course, adopting AI technologies requires companies to adopt a well-structured risk management strategy, covering key areas such as data protection, fairness and lack of bias in algorithms, transparency towards customers, protection of workers, definition of clear responsibilities regarding automated decisions and, last but not least, attention to environmental impact. Each AI model, especially if trained on huge amounts of data, can require significant energy consumption.

Furthermore, when we talk about generative AI and conversational models , we add concerns about possible inappropriate or harmful responses (so-called “hallucinations”), which must be managed by implementing filters, quality control and continuous monitoring processes. In other words, although AI can have disruptive and positive effects, the ultimate responsibility remains with humans and the companies that use it.

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