Capgemini Uncovers Top 5 Tech Trends to Watch in 2025

Sep 15, 2025

Capgemini unveiled today its “TechnoVision Top 5 Tech Trends to Watch in 2025”, focused on the technologies that are expected to reach an inflection point in the next year. The focus on AI and generative AI (Gen AI) is shared both by executives around the world as well as by the venture capital professionals that were interviewed in a global survey to be published at CES in January 2025. It is anticipated to also have a significant impact on other key technologies which are likely to reach a stage of maturity or breakthrough in 2025.

 

“Last year, Capgemini’s Top 5 Tech Trends predicted the emergence of smaller Gen AI language models and AI agents, both of which came to fruition. We also signaled the importance of Post-Quantum Cryptography, which was confirmed by the publication of the National Institute of Standards and Technology’s standards last summer. And as anticipated, semiconductors have been at the center of attention in 2024 with significant evolution driven by the massive use of AI and generative AI, as well as shifts in market dynamics,” explains Pascal Brier, Chief Innovation Officer at Capgemini and Member of the Group Executive Committee. “In 2025, we see AI and Gen AI having a major impact on companies’ priorities and also on many adjacent technology domains, such as robotics, supply chains, or tomorrow’s energy mix.” 

 

Technologies to watch in 2025

 

  1. Generative AI: From copilots to reasoning AI agents

Generative AI is now entering the dawn of a gentrification where AI systems are evolving from isolated tasks to specialized, interconnected agents. In fact, according to a Capgemini Research Institute survey of 1,500 top executives globally, which will be published in January 2025, 32% of them place AI agents as the top technology trend in data & AI for 2025.  Thanks to the increasing capabilities of logical reasoning in Gen AI models, these will start operating more autonomously while providing more reliable, evidence-based outputs, and will be able to manage tasks such as supply chains and predictive maintenance without constant human oversight. AI systems can handle dynamic decision-making in more sensitive environments where correctness is paramount. The next step will be the rise of a super agent, an orchestrator of multiple AI systems, optimizing their interactions. In 2025, these advancements will enable new AI ecosystems across industries, allowing new levels of efficiency and innovation.

 

Why it matters: With the maturation of AI models, transformer models and other Gen AI architectures have reached new levels of sophistication and accuracy, making multi-agent systems viable for real-world, complex, dynamic decision-making, even in unpredictable situations. This is set to unlock greater potential in industries that rely on quick, flexible responses to unexpected challenges, such as healthcare, law, and financial services.

 

  1. Cybersecurity: New defenses, new threats

AI is transforming cybersecurity, enabling both more sophisticated Gen AI-enhanced cyberattacks and more advanced AI-driven defenses to the point where almost all organizations surveyed (97%) in the recently published Capgemini Research Institute’s report say they have encountered breaches or security issues related to the use of Gen AI in the past year. In recent years, with remote work, companies now face a larger attack surface and greater vulnerability to these threats. In fact, 44% of top execs in the upcoming Capgemini Research Institute report place the impacts of Gen AI in cyber as the top technology topic in cybersecurity for 2025. To mitigate these risks, there have been renewed investments and innovations in endpoint and network security, increased efforts to automate threat detection, especially using AI-driven threat intelligence, as well as an effort to prepare for the future by reinforcing encryption algorithms, in particular the growing interest into Post-Quantum Cryptography to protect against the next expected disruption: quantum-computing threats. This shift marks a broader transformation in how businesses approach security and build trust in their increasingly autonomous systems. 

 

Why it matters: In 2025, generative AI-powered cyberattacks will continue to be more sophisticated and widespread, increasing risks for organizations. In parallel, as AI plays a larger role in decision-making and operational control, ensuring that humans trust these systems will become crucial. But it's not just about being safe—it's about feeling safe. Cybersecurity must address both technical and psychological concerns, ensuring not only protection but confidence in the systems people rely on daily.

 

  1. AI-driven robotics: Blurring the lines between humans and machines

Advancements in AI technology have accelerated the development of next-generation robots, building upon innovations in mechatronics and expanding beyond traditional industrial uses. While robotics used to be dominated by hard-coded, task-specific machines, the development of Gen AI is spurring the development of new products (including humanoid robots and collaborative robots - or cobots) that can adapt to diverse scenarios and learn continuously from their environment. According to the Capgemini Research Institute’s upcoming report, 24% of top executives and 43% of Venture Capitalists see AI-driven automation and robotics as one of the top 3 tech trends in data and AI in 2025. With robots becoming more autonomous and AI taking on complex decision-making roles, the future of work may see a shift in the traditional structure of authority. The rise of AI-powered machines that mimic human behaviors challenges our understanding of leadership, responsibility, and collaboration, ultimately pushing us to reconsider the role of humans.

 

Why it matters: As Industry 4.0 progresses, AI-powered robots will drive efficiency, flexibility, and innovation, becoming key components of intelligent, connected systems that redefine industrial processes. By 2025, advances in natural language processing and machine vision will further enhance their capabilities, allowing robots in manufacturing, logistics, and agriculture to take on more complex roles within the modern workforce.

 

  1. Nuclear: The surge of AI driving the clean tech agenda

The energy industry is in the midst of a transformative shift, with the energy transition accelerating at an unprecedented pace. This change is fueled by mounting pressure to fight climate change and supported by rapid innovations across various sectors, from renewables and biofuels to low carbon Hydrogen and beyond. Nuclear energy stands out as a focal point for 2025: nuclear is re-emerging at the top of the business agenda, propelled by the urgent need for clean, dependable and controllable power that can support the rising energy demands of AI and other high-energy technologies. Although in September/October 2024,   very few top execs globally identified Small Modular Reactors (SMRs) as a top 3 Sustainability technology for 2025, SMR technology development is expected to accelerate by 2025, and other key innovation priorities include strides toward limitless, clean power with nuclear fusion, or Advanced Modular Reactors that differ from light water reactors in the use of new types of fuels and a higher temperature and for some of them the promise to reduce the production of nuclear waste. 

 

Why it matters: Driven by the massive energy demands of AI, major tech players are turning to nuclear energy to meet their growing computing needs. Large-scale investments are expected to further accelerate innovation in reactor technology and waste management, as the tech industry acknowledges that renewables alone cannot sustain its energy demands.

 

  1. New generation supply chains: Agile, greener and AI-assisted 

In the last few years, businesses have had to navigate increasingly complex, unpredictable market conditions. Key technologies including AI, data, blockchain, IoT, and connectivity with Terrestrial Satellite Networks are now playing a strategic role in improving the cost efficiency, resilience, agility, circularity, and sustainability of supply chains. These technologies are allowing companies to enhance their predictive capacities and navigate an ever-changing ecosystem as they have now reached a sufficiently high level of maturity and therefore reliability. Meanwhile, progress in space techs such as low-earth orbit satellite constellations is particularly essential to increase coverage in white spots which is crucial for companies to be able to control their entire supply chains throughout the globe. In fact, according to the Capgemini Research Institute’s upcoming report, 37% of top executives see these new-generation supply chains powered by technologies as the top tech trend in industry and engineering in 2025. Additional regulatory and environmental constraints will make this shift all the more critical to ensure competitiveness, agility and resilience.

 

Why it matters: In 2025, global supply chains will keep facing environmental disruptions, regulatory pressures, and geopolitical tensions which will impact the flow of goods and raw materials. New regulations like the European Union’s Digital Product Passport will make it mandatory for companies to track and disclose the environmental footprint of their products, pushing them to adopt more sustainable practices. 

 

Beyond 2025 - technologies shaping the next 5 years:

 

  1. Engineering biology: BioSolutions to today’s most pressing challenges

While the potential of engineering biology and its ability to transform manufacturing, develop drugs, and produce materials with novel properties has been widely discussed over the past years, this technology is yet to reach its scaling phase. According to the Capgemini Research Institute’s upcoming report, 41% of top executives believe that molecular assembly will reach maturity and become commercially viable by 2030. Meanwhile, 37% of them envision the same for Genomic Therapies. In the coming years, we can look forward to new innovations in this diverse field, such as personalized mRNA vaccines and GenAI for protein design.

 

  1. Quantum computing: on the verge of the quantum leap

According to the upcoming Capgemini Research Institute survey, 55% of top executives and 44% of VCs expect quantum computing to be one of the top 3 technologies within the ‘Computing & Networking’ space which will create a major impact in 2025. 41% of top executives expect to be experimenting with quantum computing Proofs of Concepts with limited use cases, and 27% of the top executives surveyed expect the technology to be partially scaled in some parts of the organization in 2025. The key question is – when will the quantum leap happen, and who will master it?

 

  1. Artificial General Intelligence: I think, therefore AI am? 

AI reasoning capabilities have made spectacular progress over the past 5 years, and some predict an era of artificial general intelligence (AGI). As such, 60% of top executives and 60% of VCs surveyed by the Capgemini Research Institute believe this technology will reach maturity and become commercially viable by 2030. Would this technology basically be able to mimic human intelligence to the point of making it irrelevant? This topic leads to exaggerated predictions, and some now question whether the intelligence potential of the technology is really unlimited.

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Latest Experts Thoughts

Shawky: AI Powers a New Era of Efficiency and Innovation in Extended-Stay Hospitality

Shaimaa Ibrahim 

 

In a rapidly evolving hospitality landscape, extended-stay accommodation is emerging as one of the region’s most dynamic yet underserved segments. As workforce mobility rises and demand increases for flexible, long-term living solutions, traditional hospitality models are reaching their limits. Persistent pricing inefficiencies, fragmented supply, and the absence of enterprise-grade infrastructure continue to define a market that is still in the early stages of digital transformation.

 

In this exclusive interview, Osama Shawky, Founder and CEO of estaie, shares insights into how the company is redefining the extended-stay category through AI-driven pricing, platform-based infrastructure, and strategic supply aggregation. He discusses the key structural gaps in the market, the transformative role of AI in hospitality technology, and estaie’s ambition to position itself as a foundational infrastructure layer for extended stays across the region. Shawky also outlines the company’s growth strategy following its recent funding round, its expansion priorities in Saudi Arabia, and the regulatory and operational challenges shaping its path forward.

 

What key gaps exist in the Extended-Stay market, and how is estaie addressing them differently from traditional platforms?

The extended-stay market is fundamentally underserved. Monthly stays are treated as a secondary use case, pricing is static, and enterprise workflows are missing. estaie addresses these challenges by building a dedicated platform for stays ranging from 30 to 365 nights, combining AI-driven pricing, enterprise infrastructure, and aggregated supply. The most complex gap is pricing, which we are addressing through proprietary, patent-pending intelligence.

 

How is AI transforming hospitality tech, and which applications have the greatest impact on customer experience and operational efficiency?
AI is shifting hospitality from static distribution to real-time optimization. The biggest impact comes from dynamic pricing, demand forecasting, and the automation of booking and billing processes. In extended stays, AI is critical because it optimizes duration, pricing, and operations simultaneously.

 

How mature is the hospitality tech sector in the region, and where does estaie aim to position itself in this digital transformation?

The hospitality tech sector in the region is still in its early stages, especially in the extended-stay segment, where there is a heavy reliance on manual processes. This creates a clear opportunity. Our ambition is to position estaie as the infrastructure layer for extended stays across the region.

 

How are startups driving innovation in hospitality tech, and how can they redefine traditional business models?
Startups are shifting the model from asset-heavy to platform-driven. However, real innovation goes beyond user experience—it involves solving challenges around pricing, supply standardization, and enterprise integration. That’s where we are focused.

 

After your recent funding round, what are your top priorities for deploying capital, particularly in tech infrastructure and strategic partnerships?

We’re prioritizing defensibility. This includes investing in AI-driven pricing infrastructure, building enterprise integrations, and expanding supply through strategic partnerships. The objective is to create strong network effects early.

 

Why is the Saudi market a priority for expansion, and what opportunities are you targeting in Riyadh?
Saudi Arabia represents one of the largest pools of unmet demand globally for extended stays. Riyadh is becoming a hub for corporate relocation and project-based work, but the supply remains fragmented. We are targeting this demand-supply imbalance early.

 

What regulatory and operational challenges do you anticipate in Saudi Arabia, and how are you preparing to address them?

The main challenges revolve around classification, compliance, and billing structures. We are addressing them through local partnerships, regulatory alignment, and product localization. These complexities ultimately become barriers to entry.

 

What factors drive your strong monthly growth, and how did you quickly build a partner network of hundreds of hotels?

Our growth is driven by solving a high-value problem for both corporates and supply partners. We deliver better pricing, higher occupancy, and a seamless experience. This alignment, combined with fast execution and low onboarding friction, has enabled rapid network expansion.

 

What is your strategic forecast for the future of the extended-stay market in the region?

We see extended stays becoming a distinct, technology-driven category within the hospitality sector, driven by workforce mobility and flexible living. The core challenge—pricing and standardization at scale—remains unsolved, and that’s where we are building our advantage.

 

Insolvency vs Bankruptcy: Understanding the Difference Before It’s Too Late

Ghada Ismail

 

When a business hits a rough patch, the words “insolvency” and “bankruptcy” often get tossed around like they mean the same thing, but they don’t. Think of insolvency as a warning light flashing on your financial dashboard, while bankruptcy is the emergency brake pulled when that warning goes unheeded.

For entrepreneurs, founders, and small business owners, knowing the difference isn’t just academic—it can mean the difference between saving your company and losing it entirely. Spotting trouble early gives you a chance to act, restructure, and steer your business back to stability before it’s too late.

 

What Is Insolvency?

Insolvency isn’t a sudden disaster; it’s a financial red flag. It happens when a person or business can’t pay debts on time. You might still own valuable assets, like property or inventory, but if cash isn’t flowing in fast enough to cover obligations, trouble is brewing.

There are two main types of insolvency. Cash flow insolvency happens when a business can’t meet immediate payments, even if it owns assets that could eventually cover debts. Balance sheet insolvency is more severe; it occurs when total liabilities outweigh total assets, meaning selling everything wouldn’t be enough to repay creditors.

The key thing to remember: insolvency is a financial condition, not a legal process. Many businesses go through temporary insolvency without ever entering court. With quick action—like renegotiating debts, restructuring operations, or securing new funding—recovery is often possible.

 

What Is Bankruptcy?

Bankruptcy, in contrast, is a legal procedure that a person or company initiates when debts have become unmanageable. Here, the court steps in to oversee how debts are handled, assets are distributed, or obligations are restructured.

Bankruptcy can take different forms. Liquidation means selling all assets to repay creditors and closing the business. Reorganization allows the company to continue operating while paying off debts under court supervision.

Put simply, bankruptcy is a legal response to insolvency, not the same as insolvency itself. Think of insolvency as the storm warning and bankruptcy as the life raft—if you ignore the warning, you may end up in court.

 

Why the Difference Matters

For business owners, confusing insolvency with bankruptcy can be costly. Insolvency is the stage where you still have options. Acting fast can prevent a full-blown bankruptcy. This could mean cutting unnecessary costs, renegotiating loan terms, pivoting your business model, or bringing in new investment.

Once bankruptcy proceedings start, control slips away. Creditors and the court decide your company’s fate, leaving little room for entrepreneurial maneuvering. Knowing where your business stands financially lets you act proactively instead of reactively.

 

Warning Signs You Can’t Ignore

Insolvency rarely hits overnight. It usually creeps in with small, manageable problems that grow if ignored.

Watch for persistent cash flow shortages, like delayed supplier payments or reliance on short-term borrowing. Declining profit margins combined with rising debt are also red flags. For startups, these signals are amplified—long periods of unprofitability and reliance on investor funding make sudden cash shortages more dangerous.

The earlier you spot these issues, the more options you have. Acting too late can force a company into bankruptcy even if it might have been saved.

 

Insolvency Doesn’t Always Mean Failure

Despite the scary terminology, insolvency doesn’t automatically mean the end. Many successful companies have faced insolvency, restructured, and bounced back stronger. The key is timing and strategy. Acting early—cutting costs, restructuring debt, and finding new revenue streams—can turn financial trouble into a turnaround story.

 

Wrapping Things Up…

Insolvency and bankruptcy are connected but not the same. Insolvency is a financial warning: you can’t pay your debts on time or owe more than you own. Bankruptcy is a legal response to insolvency when the situation becomes unsustainable.

For entrepreneurs, recognizing the difference is crucial. Insolvency is your chance to course-correct. Bankruptcy signals that the situation has escalated to the legal stage, often leaving you less control over your company’s future.

By spotting the warning signs early and taking decisive action, businesses can often navigate through financial challenges, recover, and even thrive. In finance, timing isn’t just important—it can save your business.

The Solo Founder Dilemma: Why VCs Think Twice Before Investing

Kholoud Hussein 

 

In the world of venture capital, few topics stir as much debate as the question of whether investors should back startups led by a single founder. While the mythology of entrepreneurship often celebrates the lone genius—the visionary building a company from scratch—modern venture investing operates by a different logic. Capital today flows toward teams, not individuals, and the majority of VC firms openly acknowledge a preference for multi-founder startups. The trend is consistent across global markets, from Silicon Valley to Riyadh. The question is: why?

The answer lies in how investors assess risk, execution capacity, and long-term resilience. A sole-owned startup, no matter how promising the idea or how capable the founder, carries structural vulnerabilities that most investors consider too significant to ignore.

At the heart of the hesitation is the issue of concentration risk. Venture investments are already high-risk by nature, and relying on a single person to carry an entire company magnifies that risk substantially. If the founder becomes overwhelmed, burnt out, or unavailable—even temporarily—the entire business stalls. For VCs managing large funds and operating under strict timeframes, this is more than a hypothetical concern. It is an operational threat.

Another reason is the lack of complementary skill sets. A typical startup requires a blend of technical, commercial, and operational expertise. Few individuals are equally strong in all three areas. Investors are wary of solo founders who excel in vision but lack technical depth, or who are brilliant engineers but unfamiliar with sales, hiring, or finance. A team of two or three founders naturally balances these roles, reducing friction and increasing the startup’s ability to adapt quickly.

VCs also view team dynamics as a predictor of how well a startup will function under pressure. A founding team offers built-in collaboration, internal debate, and shared decision-making—qualities investors associate with better judgment and stronger governance. Solo founders, by contrast, may operate without meaningful challenge to their decisions, a trait that can be risky in fast-moving markets.

There is also a practical concern: speed of execution. Early-stage startups must move quickly, often juggling product development, customer acquisition, fundraising, hiring, and compliance all at once. A single founder, regardless of talent or determination, is limited by time and capacity. As one venture capitalist explained in a recent industry report: “Startups don’t fail because founders are not smart. They fail because even the smartest founders run out of bandwidth.”

For investors, bandwidth matters as much as brilliance.

This preference for teams does not mean that VCs universally reject solo-owned startups. There are exceptions, especially when founders have a strong track record, deep technical expertise, or rapid early traction. Some solo founders successfully raise capital on the strength of their idea or reputation alone. But even in these cases, investors often condition funding on the founder’s commitment to building a solid leadership team quickly.

In emerging markets, including the GCC, the pattern is similar. As Saudi Arabia and the UAE accelerate startup development through national strategies and state-backed investment vehicles, the emphasis on scalable, high-growth companies makes team-based startups more attractive. Sector complexity—in fintech, AI, logistics, or climate tech—often demands expertise that no single founder can provide alone.

Yet while the structural preference for multi-founder teams remains strong, the rise of AI tools, low-code platforms, and automated workflows may ease some of these concerns in the future. Solo founders now have access to sophisticated tools that expand their operational capacity, from automated customer service to AI-assisted coding. Still, most VCs argue that technology cannot fully replace the strategic benefit of shared leadership.

Ultimately, venture capital is not just about funding good ideas—it is about backing teams that can build lasting companies. And for most investors, a single founder, however exceptional, represents a risk profile that is harder to underwrite. The message is not that solo founders cannot succeed, but that assembling a complementary founding team remains one of the most effective ways to strengthen a startup’s chances of securing investment and scaling for the long term.

 

How alternative investments can diversify investment portfolios beyond stocks and bonds

Noha Gad

 

In recent years, the investing world has moved far beyond the classic trio of stocks, bonds, and cash. Individual and institutional investors are increasingly looking for new ways to grow wealth, hedge risk, and protect against inflation in a complex, fast‑changing global economy. Economic uncertainty, low interest rates, and crowded public markets have pushed many to explore assets that behave differently from traditional portfolios and offer the potential for higher returns or unique exposure.

This is where alternative investments started. Unlike the familiar world of listed equities and government bonds, alternative investments refer to a wide range of assets that fall outside conventional markets: private equity, venture capital, hedge funds, real estate, commodities, infrastructure, collectibles, and even cryptocurrencies. These instruments often carry higher complexity, less liquidity, and more regulatory and operational risk, but they also open doors to diversification, distinctive opportunities, and sometimes outsized gains.

 

What is an alternative investment?

An alternative investment is a financial asset that does not fall into one of the conventional investment categories. It can include private equity or venture capital, hedge funds, managed futures, art and antiques, commodities, and derivatives contracts. In general, there are two main types of alternative investments. The first type is investing in assets other than stocks, bonds, and cash, such as infrastructure, real estate, and private equity. The second type involves investment strategies that go beyond traditional methods, such as short-selling and leverage.

Unlike traditional investments, alternatives are characterized by potential lower liquidity, assets in both private and public markets, and low correlation to markets. Their returns are primarily driven by alpha with higher dispersion among managers, and they often focus on inefficient markets.

 

Different types of alternatives

       * Hedge funds. These funds are pooled investment funds that trade relatively liquid assets and can be used as a diversification tool. It usually invests in companies involved in blockchain/crypto technology.

       * Private equity. PE is an ownership interest in a company or portion of a company that is not publicly owned, quoted, or traded on a stock exchange. They are designed to mimic hedge fund index returns using liquid securities.

       * Cryptocurrencies. Cryptocurrency, or digital currency, may not offer a strong hedge against other risk-on investments, but it may provide capital appreciation or passive income due to staking rewards.

       * Peer-to-peer lending. Investing in peer-to-peer lending means making loans to individuals or businesses through online platforms that connect borrowers with investors. It is similar to investing in bonds, though it occurs in more private markets and often involves riskier borrowers.

       * Commodities. Investors can invest in tangible goods with real-world uses and often perpetual demand, such as gold, silver, oil, or agricultural products.

       * Real estate. This includes investing in physical properties or property-based securities, real estate crowdfunding platforms, real estate investment trusts (REITs), and real estate mutual funds.

 

Pros and Cons of Alternative Investments

Because of their unique nature and differences from traditional markets, alternative investments may have low correlations to traditional investments like stocks and bonds. Therefore, investors most often turn to alternatives to potentially help diversify an investment portfolio and reduce overall portfolio risk. Other benefits include:

       * Higher return potential than traditional investments.

       * Offering protection against inflation.

       * Offering investors more specialty investment options.

 

Disadvantages

       * Associated with higher fees and transaction costs.

       * Have higher risks than traditional investments.

       * Lacks transparency and may have reduced regulation.

       * May not be right for novice investors due to their complexity.

Finally, alternative investments are not a one-size-fits-all solution, and they should be approached with clear goals, a realistic risk tolerance, and thorough due diligence. When used thoughtfully, within a balanced, diversified portfolio and in line with an investor’s time horizon and sophistication, they can enhance resilience and open doors to opportunities that traditional markets alone may not provide. For most investors, the key is not to chase every trendy alternative, but to integrate a carefully selected mix of alternatives that align with their overall strategy and long‑term objectives.

TrendAI bets on AI to stay ahead of evolving cyber threats

Ghada Ismail

 

As artificial intelligence reshapes the cybersecurity landscape, organizations are facing a new generation of digital threats, many of which are powered by the same technologies designed to improve business operations. In response, cybersecurity providers are increasingly embedding AI into their defense systems while also developing tools to secure AI itself.

TrendAI is positioning itself at the center of this shift. Headquartered in Tokyo and operating globally, the company leverages artificial intelligence and decades of cybersecurity expertise to help enterprises, governments, and organizations secure their digital environments across cloud, networks, endpoints, and emerging AI systems.

In this interview, Mahmoud Safwat, Country Manager for Egypt at TrendAI, discusses how AI is transforming cybersecurity operations, why securing AI systems is becoming just as critical as using them, and how organizations can balance innovation with responsible and regulated AI deployment. He also shares his perspective on whether AI is a passing trend or a long-term technological shift that will redefine how businesses operate.

 

How is AI transforming your core business operations, products, or services?
As you can see, our company is called Trend AI now. Trend AI has been working in cybersecurity—we are a cybersecurity leader globally. We have been in the market for over 35 years now as a Japanese company.

As AI is transforming everything in our industry, it is essential for our business. In our solutions, we focus on the evolution of technologies driven by AI. Basically, we have two main things: AI for security and security for AI.

AI for security means we integrate AI into our cybersecurity solutions to enhance our ability to detect cyber threats, attacks, and the many new types of threats emerging today. Especially because attackers are using AI too—they are innovative in how they execute malicious attacks—so we must be prepared. We need intelligence and adaptability, and AI helps us integrate these capabilities across all layers: endpoints, user machines, networks, data centers, and the cloud. Every layer of the customer’s environment is secured, and AI is at the core of it.

On the other side, we ensure our solutions fit customer needs when they want to integrate AI in their business. When clients deploy AI to enhance operations, we secure it so they can use AI safely and smoothly. They don’t have to worry about the consequences of reckless AI usage. We adapt our solutions to protect their AI infrastructure and enable businesses to leverage AI confidently.

 

How does your company approach responsible and ethical AI deployment?
Cybersecurity is our bread and butter. That’s our first priority. We integrate AI in our security solutions and secure AI itself to ensure its ethical usage. For example, if a user in a company is using an AI tool, we make sure no confidential data leaks. We prevent malicious use and regulate AI so that all data remains safe.

All AI tools within a company are regulated. Users operate within safe limits, protecting both the business and its data. This ensures AI is used ethically and responsibly, aligning with company policies.

 

What problem are you solving today by using AI technologies in your company? What client pain points are you addressing?
Our main focus is securing customer data. The biggest pain point for clients today is the evolution of attacks, especially as attackers also use AI to innovate. We help clients feel secure and cope with this evolving threat landscape.

Our AI-integrated products detect, respond, remediate, and even protect against attacks. They include proactive security features—we don’t wait for an attack. We predict potential threats, assess asset vulnerabilities, identify attack paths, and act before attacks happen.

We aim to stay ahead of threats, regularly assess the current security posture, and provide recommendations to close any gaps. If an attack occurs, we are ready to handle it fully, using AI at the core of our solutions.

 

Is regulation slowing AI innovation or making it stronger?
I totally believe regulation makes it stronger. Using AI without guidance leads to consequences. Regulation sets boundaries, defines what’s right, and allows us to build solid foundations.

I like to compare it to driving a car: brakes may slow you down, but they make you safe. You can go faster when you’re confident in your brakes. Similarly, regulation helps us use AI safely and ultimately advance faster, avoiding potential obstacles and setbacks.

 

Do you think AI is just a hype that will cool down over time?
I don’t think so. AI is still in its early stages. Yes, it’s booming and growing fast, but we’ve seen similar trends with the internet and other transformative technologies—they became essential and remain so.

 

Do you believe AI is a replacement for human talent or an enhancement tool for productivity?

AI will continue enhancing businesses, operations, and daily life—personally and professionally. Will it replace humans? No. Humans must supervise AI. Talents are critical. People need to maintain knowledge and learn how to leverage AI to work smarter, not replace their jobs. AI will make work easier, smoother, and more efficient, but humans remain central. AI is here to enhance, not replace, human work. It’s a tool that makes life better, helps businesses thrive, and ensures we can respond to a fast-changing cybersecurity landscape safely.