There are currently few things that worry CEOs worldwide as much as geopolitics. Cybersecurity is undoubtedly one of them. But what happens when you combine geopolitical conflicts and cyber threats?

Geopolitical cyber threats, that’s what.

This lethal combination threatens to disrupt economies, destabilize governments, and shatter global stability. That’s why it must be met with an ironclad cybersecurity strategy.

But what does that strategy entail?

That’s for Tom Vazdar and Venicia Solomons to answer. Tom is the chair of the Master’s Degree in Enterprise Cybersecurity program at the Open Institute of Technology (OPIT). Venicia is a seasoned cybersecurity architect and advocate who has rightfully earned the nickname “the Cyber Queen.”

Here’s what these two esteemed cyber professionals have to say about geopolitical cyber threats in their highly informative master class titled “Cyber Threat Landscape 2024: Navigating New Risks.”

What Are Geopolitical Cyber Threats?

Geopolitical threats refer to cyberattacks (or campaigns) driven by political motives. These attacks are often conducted by state-sponsored actors and have a specific strategic goal in mind.

For instance, Iran-backed hackers have recently been targeting U.S. water systems, aiming to disrupt Israeli-made equipment globally. This example also perfectly illustrates the targets of geopolitical cyberattacks – critical infrastructure, government systems, military networks, and other relevant entities.

But don’t jump to conclusions – the private sector isn’t immune to such attacks.

Cybercriminals have also targeted private companies to steal intellectual property, disrupt operations, or extort money. However, what differentiates these attacks from other cyberattacks is the motivation behind them.

Whether it’s through espionage, sabotage, or disinformation, geopolitical cyber threats always aim to achieve a political or strategic advantage for the attacker.

How Do State-Sponsored Cyber Threats Differ From Other Cyberattacks?

In their master class, Tom and Venicia specifically focus on state-sponsored cyber threats, even though they aren’t the only type of geopolitical cyber threats. Why? Because they’re the most advanced and sophisticated cyber threats.

As Venicia puts it, state-sponsored cyberattacks involve “specialist hacking techniques,” “stealthy behavior,” and “stealthy execution.” That’s why the consequences of these attacks are often only seen after significant damage has been done.

This leads us to another distinctive characteristic of state-sponsored cyberattacks – they typically involve long-term execution.

You see, other forms of cyberattacks usually want to reach their goal as soon as possible. For instance, a ransomware attack will infiltrate your system, and the hacker will ask for ransom straight away.

A state-sponsored cyberattack, on the other hand, usually plays the long game. That’s why they’re considered an advanced persistent threat (APT). Remaining undetected for a long time allows these threats to collect lots of critical data and perform long-term espionage.

Tom adds that the goal of these cyberattacks is another important distinction. As mentioned, they usually have a strategic goal in mind. “Regular” cyber threats, in contrast, typically only aim for financial profit.

Why Is Geopolitical Cybersecurity Important?

For the most part, traditional warfare was limited to three battlefields – the land, the air, and the sea. However, as Tom points out, two vital battlefields have joined the fray – space and cyberspace.

Sure, threats in cyberspace aren’t overtly visible like those on land, air, or sea. However, they can be just as devastating, if not more so – especially if they’re geopolitical cyber threats.

Here’s how Tom and Venicia break down the importance of geopolitical cybersecurity.

Protecting Against Espionage

As mentioned, espionage is one of the leading types of geopolitical cyberattacks. Since espionage aims to collect as much valuable information as possible, these attacks are typically highly refined, which allows them to remain undiscovered for months on end.

Venicia points out that the recent geopolitical tensions have led to increased cyber espionage. That’s what makes solid geopolitical cybersecurity more important than ever. Let one intruder into your network, and you’re essentially giving away all your classified information (past, present, and future).

Avoiding Manipulation

2024 is an election year. This means that “influence operations, disinformation operations, [and] deep fake operations” will run more rampant than ever, as Tom warns. Ultimately, these operations aim to shape public opinion and undermine trust in democratic institutions. These outcomes are never desirable, let alone during such a crucial time.

That’s where cybersecurity comes into play.

These measures help secure digital platforms, detect (and remove) false information, and (in this specific scenario) safeguard electoral systems.

Protecting the Economy

As mentioned, geopolitical cyberattacks aren’t typically done for financial gain. However, they can still cause massive financial losses. How? By targeting “public organizations and private entities that make a large contribution to a country’s economy,” as Venicia explains.

And a world that’s still reeling from the effects the COVID-19 pandemic had on the global economy can’t possibly handle another major disruption. That’s why any similar threat should never be taken lightly.

How to Combat Geopolitical Cyber Threats

Now that you know why geopolitical cyber threats must be combatted, let’s discuss how this can be done.

Keep All Aspects in Mind

There are numerous factors that go into protecting against geopolitical cyber threats. But for this protection to actually work, all these factors must be considered when devising a defense strategy.

For starters, this means protecting all critical infrastructure sectors. Tom lists just some of them –financial services, healthcare and public health, and transportation systems. However, one thing applies to all critical infrastructure sectors – they aren’t “independent islands,” as Tom puts it.

They’re all part of a larger ecosystem.

Each sector can only be protected if there’s a holistic approach to cybersecurity, one that considers interdependencies between sectors and the potential cascading effects of cyber disruptions. This way, in case of a cyberattack, every sector can provide support and respond effectively to minimize the impact.

Foster Collaboration

The collaborative approach shouldn’t only apply to critical infrastructure sectors. All stakeholders, including government agencies, cybersecurity experts, and the private sector, must work together to address geopolitical threats effectively.

This collaboration can take many forms.

However, Tom highlights the three most important ones on the global level – sharing intelligence, developing international norms and agreements, and establishing cybersecurity alliances.

Our experts list some of the most useful alliances and resources in this regard:

  • The No More Ransom Project helps organizations combat ransomware attacks by providing decryption keys, thus returning their vital information.
  • Public-Private Partnerships (PPPs) worldwide allow for sharing cyber threat intelligence among industry partners to improve defenses collectively.
  • The Budapest Convention on Cybercrime sets out international standards for combating cybercrime, promoting cooperation among countries to tackle cyber threats effectively.

Focus on Critical Infrastructure

By now, one thing’s clear – protecting critical infrastructure against geopolitical cyber threats is paramount.

According to Tom, collaboration plays a key role here as well. In his words, “The only way to protect [critical infrastructure] is that collaborative effort between government and the private sector because they cannot go without each other; they have to work together.”

Implement a Robust Cybersecurity Framework

A comprehensive and collaborative approach to combating geopolitical threats is just the preamble. The implementation of a robust cybersecurity framework is where the actual protection starts. Of course, these systems should be based on the intelligence collected through collaboration and education.

However, the system itself is just as important. After all, protecting critical infrastructure and other elements of similar importance requires more than just traditional anti-virus software!

According to Tom, a comprehensive cybersecurity framework will comprise four elements – threat detection, response tools, regular security assessments, and training. The specifics will vary by organization, and every relevant employee should be familiar with them.

Tom also emphasizes the importance of adopting a multi-layer approach to cybersecurity defenses. This way, even if one layer is breached, others will provide protection and prevent a total collapse of the system.

Stay Vigilant

Organizations should always be on the lookout for an uptick in suspicious activities, especially during times of geopolitical conflicts. This vigilance includes monitoring network traffic for anomalies, conducting regular security audits, and staying on top of the latest cyber threats and—let’s face it—the latest geopolitical conflicts.

Train Your Employees

The importance of thorough cybersecurity education can’t be understated. After all, employees are usually the first line of defense against cyber threats. So, they should be trained to handle the information system properly within the organization. They should know what to do and what not to do before, during, and after a geopolitical cyberattack.

However, there’s another type of employee crucial for the strength of cybersecurity within an organization – cybersecurity professionals themselves.

These individuals must be on top of their game at all times. One way to ensure this is to only hire professionals with ample experience and education. For instance, completing a renowned Master’s program like OPIT’s Enterprise Cybersecurity should be a huge green flag for any employer. It signals a strong commitment to cybersecurity excellence and a deep understanding of the latest trends and techniques in the field.

Invest in the education and professional development of your employees, and you stand a chance against the ever-evolving landscape of cyber threats, geopolitical and beyond.

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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

Source:

  • 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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