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59% have believed online content was genuine only to later discover it was an AI-generated fake
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Over a third (38%) rarely read beyond a headline before forming an opinion
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Almost a quarter (23%) have reshared a post without checking its accuracy
Category: #AI
Discover The Impact Of AI On Payment Authentication Systems
AI has solved one of the biggest problems in payments— how to make them both fast and secure! It watches every transaction, learns from millions of data points and reacts instantly when something feels wrong. With each new payment, it learns more, becoming smarter and quicker. Soon, AI will handle everything, from voice-based approvals to instant cross-border payments. The goal is simple: to make payments that are fast, easy and completely secure. Read the full blog to find out how AI is turning payment authentication into a smarter, safer, and faster experience.
What AI Does in Payment Authentication Systems?
AI helps payment authentication systems learn from old transactions and spot anything strange. It keeps watching all the time and improves as it learns. Here’s what it really does:
- Look for unusual payments or locations.
- Stop fake transactions before money is lost.
- Learn from every new payment to get better.
- Make sure real users don’t face delays or blocks.
So, the more it learns, the smarter it becomes at keeping your money safe.
Simple Tools That Help AI Work
AI doesn’t work alone. It uses small but smart tools that make everything smoother.
| Tool | What It Does | Why It Helps |
| Machine Learning | Learns from data and finds fake payments. | Stops fraud faster. |
| Voice & Chat Bots | Help users talk or type to pay or ask questions. | Makes payments easier and friendlier. |
| Biometrics | Uses faces, fingerprints, or voice to confirm identity. | Removes the need for passwords. |
| Blockchain | Keeps payment data safe and unchangeable. | Adds more security and trust. |
| Data Analytics | Find patterns in how people pay. | Helps predict risks or fraud. |
| Smart Automation | Handles small repeated tasks. | Saves time and reduces mistakes. |
All these tools work together to keep payments safe, simple, and quick.
How AI Makes Payment Authentication Better?
AI is changing how systems confirm who you are when you pay. Here’s how:
a. Catches Fraud Quickly
- Check where, when, and how you pay.
- Spots anything strange in seconds.
- Stop fake users before the money leaves your account.
b. Reduces Wrong Blocks
- Sometimes, real payments are stopped by mistake.
- AI learns your habits, so it knows what’s normal.
- This means fewer delays for real users.
c. Speeds Up Verification
- AI checks data and documents faster than humans.
- Helps banks finish approvals quickly.
- Fewer forms, less waiting time, happier users.
d. Helps with KYC and Identity Checks
- AI can read ID cards and match faces automatically.
- It spots fake documents fast.
- Makes sign-ups and onboarding smooth and secure.
Why Is AI Useful for Payment Authentication Systems?
AI helps in small but important ways that make a big difference:
- Fast Payments: Less waiting, more doing.
- Safe Transactions: Block fake ones before they happen.
- Less Work for People: Automation handles boring tasks.
- Smarter Systems: Learns from mistakes and keeps improving.
- Better Experience: Smooth and quick for customers.
It’s like having a smart guard who never sleeps and never forgets.
Problems AI Still Faces
Even though AI helps a lot, it’s not perfect. Some problems still need solving:
- Data Privacy: Payment data must stay private and safe.
- High Cost: Setting up and training AI systems is expensive.
- Wrong Learning: If the data is wrong, AI may make mistakes.
- Regulations: Rules about using customer data differ by country.
- Trust Issues: Some people still feel unsure about AI.
Companies are working to fix these so that payments can stay both smart and secure.
What’s Coming Next
AI is getting better every day. Here’s what we’ll see in the future:
- Voice Payments: Just speak to confirm and pay.
- Smart Wearables: Watches, rings, or glasses can approve payments.
- Safer Risk Checks: Systems will decide in a second if a payment looks safe.
- Digital ID Cards: One verified digital ID for all your payments.
- Central Bank Digital Money: AI will help manage new government-backed digital currencies.
- Open Banking Links: One system connecting all your bank accounts safely.
All this means you’ll spend less time on payment steps and more time living your life.
Who Benefits the Most
AI in payments helps everyone — not just banks. So let us look at what businesses are going to benefit from it the most:
- Banks: Catch fraud and process payments faster.
- Stores and Businesses: Get paid quickly with fewer fake orders.
- Customers: Enjoy quick, safe, and easy payments.
- Fintech Companies: Build smarter apps with better customer trust.
In short, everyone wins when systems are smart, safe, and simple.
Conclusion
AI has become the quiet helper behind every tap, scan, or click. It checks, learns, and protects — all within seconds. With every payment, AI gets better at spotting danger and keeping real users safe. As new tools like voice payments and smart devices grow, AI will make the process even faster and safer. Soon, payments will feel almost invisible — no passwords, no fear, just trust. AI isn’t the future of payment authentication systems anymore. It’s already here, quietly working in the background every time you pay.
AI-Driven Voice Quality Scoring: Measuring More Than MOS
When it comes to voice communication, call quality isn’t just a matter of technical specs—it’s a direct reflection of how teams collaborate, how customers experience service, and how businesses function every day. For years, the industry has relied on the Mean Opinion Score (MOS) to gauge voice quality. While MOS has certainly had its place, the evolution of communications—especially with hybrid work, complex VoIP deployments, and real-time expectations—has exposed its limits.
Enter AI-driven voice quality scoring. This approach doesn’t just refine how quality is measured—it reshapes what “quality” actually means in modern communication ecosystems.
Beyond the Basics: Why MOS Alone Doesn’t Cut It Anymore
MOS was originally developed as a subjective test, where people rated voice samples on a scale from 1 to 5. Over time, it evolved into a standardized, algorithm-based approximation used by many UC platforms today. But as VoIP environments have grown more complex and sensitive to a wider array of performance factors, MOS—on its own—has started to feel like a blunt tool for a nuanced job.
Why? Because MOS tends to flatten the conversation around voice quality. Two calls can have the same MOS but very different user experiences. One might suffer from occasional jitter but otherwise be clear; the other might be plagued by delayed audio, robotic voices, or one-way communication. Both might score a “4,” but would you call them equally good?
The Role of AI in Voice Quality Assessment
AI doesn’t just look at packets—it looks at patterns. By analyzing massive volumes of voice traffic data, AI models can recognize subtle indicators of poor call quality before a user even reports an issue. Think of it as upgrading from a thermometer to a full diagnostic tool that doesn’t just measure temperature but also explains the cause of the fever.
AI-powered voice scoring goes far beyond what traditional metrics offer. It can factor in elements like:
- Real-time jitter trends and burst packet loss
- Codec behavior in specific call paths
- Historical baselines for what “normal” quality looks like in a given environment
- Contextual understanding—like recognizing whether an issue is isolated or part of a larger degradation
This gives IT teams a deeper and more contextual view of voice quality, allowing them to move from reactive troubleshooting to proactive problem-solving.
Why Nuance Matters in Call Quality
Not all voice issues are created equal. A 150ms delay in a conference call might be tolerable, but the same delay on a customer support line could ruin the interaction. AI-driven scoring understands that nuance and can assign different weights to different scenarios. It evaluates more than just whether packets made it to the other side—it looks at how those packets impacted the human experience.
This matters for service assurance too. Let’s say a VIP executive has a choppy Teams call during a quarterly board meeting. Traditional MOS might tell you everything was “fine”—but AI scoring, paired with real-time analytics, can reveal a sharp increase in jitter or a codec mismatch that affected intelligibility. That level of granularity is essential when uptime and clarity are non-negotiable.
Human-Centric Scoring Meets Machine Intelligence
One of the most compelling things about AI-powered scoring is that it allows organizations to blend machine precision with human experience. That’s important because, at the end of the day, what matters isn’t just what the machine hears—it’s what the user experiences.
By correlating network metrics with actual user complaints or call abandonment data, AI models can learn what kinds of issues tend to frustrate users most. Over time, the system adapts, assigning higher importance to those patterns and helping IT teams focus on what really matters to users—not just what shows up on a dashboard.
Real Impact for Operations and Visibility
Modern voip monitoring solutions need more than uptime metrics and average scores. They need to help IT teams get ahead of problems, not just respond to tickets. AI scoring enables that by delivering actionable insights, like identifying that a specific gateway is introducing latency during peak hours or that a certain segment of users consistently sees degraded call quality due to Wi-Fi instability.
And because these tools integrate into broader monitoring environments, they allow teams to connect the dots between voice, video, and network infrastructure. It’s no longer about isolated performance—it’s about full situational awareness.
From Scorecards to Strategy
Voice quality isn’t just a checkbox item anymore—it’s part of how businesses measure productivity, customer satisfaction, and operational health. AI-driven scoring gives teams the intelligence they need to move from generic scorecards to strategic decisions. Want to know which sites are struggling with poor audio? Which devices are driving the most complaints? Or how to plan capacity upgrades based on call load and quality trends? AI has the answers, without the noise.
Looking Ahead: Smarter, Not Just Faster
As unified communication environments continue to evolve—with more cloud deployments, edge computing, and AI-powered interactions—the way we measure success has to evolve too. MOS served its purpose, but it’s time for more intelligent, user-aware metrics that reflect the complexity of today’s voice ecosystems.
AI-driven voice quality scoring offers just that: a more complete, more human, and more actionable way to understand and improve communication. It helps teams hear what matters, before it becomes a problem—and that’s something no static score can deliver.
5 Main Reasons Why People Prefer AI Sexting Over Real Partners
Technology has changed how people connect, and intimacy is no exception. More people now turn to AI for private conversations and sexual interactions, often finding comfort in a digital partner that feels easier to manage than a human one. You may wonder why so many choose AI sexting instead of relying on real partners, and the reasons reveal a lot about changing expectations in relationships.
This shift does not mean people no longer value real connection, but it does show how AI fills certain needs that human partners sometimes cannot. From avoiding emotional risks to enjoying constant availability, these digital interactions highlight both convenience and control. As you explore the main reasons behind this trend, you will see how AI reshapes the way intimacy is experienced today.
1.Avoidance of rejection and emotional pain
You may feel safer with sexting AI because it removes the risk of rejection. In real relationships, rejection can cause emotional pain that feels personal and difficult to manage. With an AI partner, you avoid that fear and maintain control over the interaction.
Real partners can sometimes ignore, criticize, or withdraw, which can trigger feelings of exclusion or self-doubt. These responses often hurt more than people expect, and they can affect your mood and confidence. AI chatbots, however, respond consistently and never dismiss you.
Because of this, sexting AI creates a space where you can explore intimacy without the pressure of judgment. The interaction stays private and predictable, which helps you feel more secure. You decide how the conversation unfolds, and the AI adapts to your needs.
For many, this makes sexting AI appealing as a way to enjoy sexual expression while avoiding emotional risks tied to human rejection. It offers comfort, especially if past experiences with rejection still feel painful.
2.Consistent availability without scheduling conflicts
You never have to wait for an AI partner to be free. Unlike real people, there are no work hours, social plans, or time zones to manage. This constant access makes it easy to start a conversation whenever you feel the need.
With an AI, you avoid the stress of matching schedules or negotiating time together. The interaction happens on your terms, which can feel more convenient than coordinating with a partner who has other responsibilities.
This availability also removes the pressure of interrupting someone’s day. You can engage at any moment without worrying about being a burden or a distraction.
As a result, the experience often feels smoother and more predictable. You gain control over the timing of the interaction, which can create a sense of comfort and stability.
3.Safe space for exploring fantasies without judgment
AI sexting gives you a private space where you can express fantasies without fear of embarrassment. You do not have to worry about how another person might react, which can make it easier to share thoughts you might normally keep hidden.
This sense of freedom allows you to explore ideas that may not match what you want in real life. Fantasies often serve as a mental outlet rather than a direct reflection of your actual desires.
Because there is no risk of judgment, you can test boundaries and notice what feels exciting or comfortable. This can help you better understand your preferences in a safe and controlled way.
In addition, AI does not pressure you or dismiss your thoughts. Instead, it provides a consistent response that lets you focus on curiosity rather than fear of rejection. This makes the experience feel more open and less stressful.
4.AI’s ability to remember and reference past interactions
You may notice that AI partners can recall details from earlier chats. This memory allows the system to bring up past conversations, preferences, or topics you mentioned before. As a result, your interactions feel more personal and less repetitive.
Unlike casual exchanges with strangers, the AI can keep track of your likes and dislikes. It can reference things you said in a previous session, which makes the dialogue feel smoother and more connected. This gives you a sense of being understood without needing to repeat yourself.
In addition, memory helps the AI maintain context across multiple conversations. Instead of starting fresh each time, it can build on what you already shared. This continuity makes discussions flow naturally and creates a stronger sense of familiarity.
Because the AI remembers details, you can explore ongoing themes or fantasies without interruption. This consistency creates a space that feels stable and tailored to your interests, which many people find appealing compared to starting over with a new partner.
5.Lack of pressure or expectation for physical intimacy
You may feel that real relationships often carry unspoken expectations about physical closeness. This can create stress if your mood, health, or energy does not match your partner’s needs. AI interaction removes that pressure, which allows you to engage without fear of disappointing anyone.
In many relationships, physical intimacy can decline due to stress, health issues, or emotional distance. These factors sometimes lead to conflict or feelings of guilt. With AI, you avoid those tensions because no one demands physical affection or sexual activity.
This freedom can make the experience feel safer and more comfortable. You control the pace, the tone, and the level of interaction. As a result, you focus on communication and fantasy without the weight of real-world obligations.
For some people, this lack of expectation creates a sense of relief. It allows you to explore desires privately while avoiding the common challenges that often come with physical intimacy in human relationships.
Conclusion
You now understand that people turn to AI sexting for reasons tied to privacy, safety, and convenience. It removes the fear of rejection and gives you a space without judgment.
You also see that it can feel easier than navigating real relationships, which often involve conflict and compromise. At the same time, it may create distance from real human connections.
By weighing these points, you can better decide how this trend fits into your own view of intimacy and relationships.
Cybersecurity Leader Proofpoint Launches AI Innvoation Centre in Cork
Proofpoint, a leading cybersecurity and compliance company, today announced that it is continuing to expand operations out of its international hub in Cork. The ongoing investment will bring new specialist roles to the city centre location, including data scientists and artificial intelligence (AI) and large language model (LLMs) specialists, as the company launches its AI Innovation Centre. This project is supported by the Irish Government through IDA Ireland.
Today’s cyberthreats are growing in sophistication and attackers are no longer simply targeting infrastructure; they’re targeting people. Proofpoint research shows that in response to this, 87% of global CISOs are looking to deploy AI-powered capabilities to help protect against human error and advanced human-centred cyber threats. Proofpoint continues to innovate on its AI-powered defences for organisations, with its human-centric solutions designed and deployed with data privacy and security at front of mind.
Proofpoint’s new AI Innovation Centre will create a privacy-attested AI environment, ensuring the safety and anonymity of all data used to train Proofpoint’s models. AI and ML require powerful detection models and a high-fidelity data pipeline to yield accurate detection rates, operational efficiencies, and automated protection. The AI Innovation Centre will allow the acquisition of larger data sets, allowing Proofpoint’s LLMs to be used in industry-leading, high-volume, high-velocity cases, improving overall threat detection for organisations.
“The ongoing expansion of Proofpoint in Cork is a clear reflection of Ireland’s continued success in attracting world-class companies to establish their international hubs here,” said Peter Burke, Minister for Enterprise, Tourism and Employment. “The creation of up to 100 new roles in the coming years, including in AI and large language models, further strengthens our position as a global technology and innovation hub.”
To drive this initiative, Proofpoint will be bringing 45 new specialist roles to its Ireland location, with a continued growth trajectory of up to 100 additional roles over the coming years. The roles will include data scientists, and AI and LLM specialists. Looking ahead, Proofpoint will also bring a security operations team to Cork, and increase roles in other functions such as its data security team. As part of this, Proofpoint is also expanding its office space in Cork.
“Our ongoing investment in our Ireland-based business is critical to our international growth, and to strengthening our ability to protect European organisations,” said Remi Thomas, Chief Financial Officer at Proofpoint. “Today’s cyber-attacks are growing in sophistication, and AI plays a critical role in an organisation’s defence against these threats. We are excited to tap into Cork’s technical talent base to further strengthen our industry-leading AI-driven solutions, enabling us to detect and prevent emerging threats at an unprecedented scale, while keeping data secure.”
“AI is a defining capability that truly sets Proofpoint apart. We have some of the most extensive human-centric threat intelligence data, which amplifies the power of our AI solutions, and ensures that our models are continuously improving and adapting to new threats,” said Kevin Leusing, Chief Technologist, EMEA at Proofpoint. “The launch of our AI Centre here in Cork will further enhance these capabilities by integrating the latest AI advancements with our unparalleled dataset, staying ahead of even the most sophisticated attackers.”
“Cork continues to cement its position as a leading cybersecurity hub, and today’s announcement from Proofpoint underscores the region’s growing significance in this sector,” said Michael Lohan, CEO, IDA Ireland. “Ireland’s rich talent pool, particularly in emerging technologies like AI and cybersecurity, is a key factor in attracting such high-calibre investments.”
To find out more about Proofpoint’s human-centric security solutions, visit: https://www.proofpoint.com/uk
To read more on the launch of Proofpoint’s Cork operations, please visit: https://www.proofpoint.com/uk/
Create, Share, and Play in the Meta AI App with Vibes
Meta AI app has launched across Europe, and has now introduced Vibes – a brand-new feed for creating, remixing, and sharing short-form, AI-generated videos.
Vibes puts creative media sharing and AI-powered features at the heart of the Meta AI experience, marking a significant step forward in their mission to empower self-expression and fun for even more people.
Putting media generation at the heart of the experience, you can create your own videos using imaginative prompts, or remix what’s already been shared. There are options to add new visuals, layer in music, or adjust styles to match your individual taste.
This is an inherently social and collaborative creation experience, where you’re encouraged to remix, co-create, and build stories together with friends. Videos and content can be shared and posted directly to the Vibes feed, sent to friends, or cross-posted to Instagram and Facebook Stories and Reels.
Key highlights of today’s launch:
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Vibes Feed: Create, remix, and share short-form, AI-generated videos. Explore a dedicated feed that becomes more personalized to your interests over time.
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Collaborative Creation: Remix and co-create with friends, share content directly to the Vibes feed, or cross-post to Instagram and Facebook Stories and Reels.
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Powerful AI Tools: Building on Meta AI’s availability across the apps you already know and love: Facebook, Instagram, Messenger, and WhatsApp – you can now naturally with your Meta AI assistant to generate and animate images, and edit photos with advanced AI-powered tools – all in one place.
Since launching in the US, Vibes has inspired over 20 billion images made with our AI tools, and media generation in the app has jumped more than tenfold and are now excited to bring this creative energy to Europe.
Please find the full blog post here
Samsung Launches First-Ever Perplexity AI-Powered TV App
Samsung Electronics today announced the launch of the Perplexity TV App, the first-ever Perplexity AI-powered TV app on the market. Elevating Samsung’s Vision AI Companion, which brings smart, generative AI support to the largest communal screens, the Perplexity TV App offers a new and innovative AI-powered experience to help users quickly find what they’re looking for and discover new favorites.
Perplexity is an AI-powered answer engine that draws from credible sources in real time, accurately answering questions, performing deep research, and suggesting additional questions that allow curious users to engage more deeply with the content they consume.
“The first-of-its-kind Perplexity AI-powered app, now available only on Samsung TVs, broadens our Vision AI Platform offering for a more unique and personalized user experience,” said Dan Glassman, Senior Director & Head of New Business Development for Samsung Electronics. “Samsung continually brings innovative and first-to-market experiences to our device owners, and this partnership with Perplexity is the latest that will deliver cutting-edge AI technology, redefining how Samsung owners interact with their TVs.”
“Curiosity can strike at any time. Perplexity’s mission is to serve the world’s curiosity by bridging the gap between traditional search and innovative AI-driven interfaces,” said Ryan Foutty, VP of Business at Perplexity. “Samsung is the number one television brand in the world, and we are excited to bring the functionality that Perplexity users know and trust to Samsung’s television screens and device owners around the world.”
Elevating the Vision AI Companion Experience
Unveiled earlier this month at IFA 2025, the Vision AI Companion brings the next evolution of AI-powered displays to Samsung TVs and smart monitors by integrating Samsung’s most advanced AI features into a single, intuitive AI experience. As part of the Vision AI Companion, the Perplexity TV App is now available as a standalone AI agent, offering even more innovative AI-powered experiences to Samsung users.
Navigate to the Perplexity TV App on your TV’s home screen and click on it to launch. From there, Perplexity can help with planning a trip, finding which movies were directed by the Russo Brothers or creating the ultimate fantasy lineup, all directly from your TV.
Getting Started
The Perplexity TV App offers a sleek and visually appealing experience, going beyond text-only responses. When you ask Perplexity a question, results appear with high-quality, glanceable cards made just for Samsung TVs.
How It Works:
Access: Navigate to the Perplexity TV App via the Apps Tab or in Samsung’s Vision AI Companion, accessible via the AI Button.
Activation: Users must accept the terms and conditions and allow Perplexity to access their microphones before using the AI voice component.
(Optional): For those who don’t want to use voice commands, the onscreen keyboard or USB keyboard can be used to search with the Perplexity TV App.
Ask for anything: Whether you want recommendations for Halloween entertainment or help with an everyday task, Perplexity knows the answer.
Availability
The Perplexity TV App is now available on all 2025 Samsung TVs and will be available on 2023 and 2024 TVs with the latest OS upgrade later this year. As a bonus, Perplexity is offering a free 12-month subscription to Perplexity Pro for all users. Simply scan the QR code on the Perplexity TV app to redeem.
To learn more, visit www.samsung.com
Workday To Invest €175M in Dublin AI Centre of Excellence, Adding 200 Jobs
Workday, Inc. the enterprise AI platform for managing people, money, and agents, today announced a three year €175 million investment and 200 specialised roles to establish its AI Centre of Excellence (CoE) in Dublin.
The investment, supported by IDA Ireland, expands the role of Workday’s EMEA headquarters in the company’s product research and development globally. Since 2008, Workday’s Dublin-based teams have driven impactful R&D, including AI-driven solutions like Workday Learning and Workday Assistant.
The AI Centre of Excellence will focus on four key areas:
- Product Development: Over 200 roles will be added in Dublin, helping to ensure regional AI, cybersecurity, engineering and research expertise is reflected in Workday Illuminate, the company’s AI platform. Workday currently employs 2,200 people here, of which approximately 80% work in product research and development.
- AI Upskilling: Workday has partnered with Technology Ireland Digital Skillnet to upskill 300 current employees through its AI Business Academy. In addition, through partnership with TU Dublin, over 285 employees have already graduated with certifications in AI relevant themes including Machine Learning, Cybersecurity, Entrepreneurial Leadership, Leadership and Team Enablement and Creating Successful Products.
- AI Academic Fellowships & Partnerships: Workday’s Industry Fellowships, in collaboration with universities such as Trinity College Dublin and Dublin City University (DCU) and Research Ireland will directly embed post-doctoral researchers within R&D teams in the company. This allows top-tier academic talent to apply their expertise to real-world AI and machine learning challenges.
- Partnership With Irish Tech Scale-Ups: Through the Workday Innovation Network – created with Enterprise Ireland – the organisation will collaborate with Irish AI start-ups, SMEs and industry leaders such as Wrksense and Workhuman to drive innovation.
Welcoming the investment, Minister for Enterprise, Tourism and Employment Peter Burke T.D. said: “Since Workday acquired Irish tech innovator Cape Clear in 2008, it has evolved into a research and development powerhouse, based on a blend of talented people, technology and innovation which Ireland can uniquely provide. Workday’s decision to expand its AI footprint in Dublin is a testament to Ireland’s reputation as a global leader in technology and innovation. We are very pleased to support this investment and partner with Workday to maximise its new AI Centre of Excellence.”
“Dublin has been a cornerstone of Workday’s innovation for close to two decades,” said Graham Abell, Vice President, Software Engineering & Ireland Site Lead, Workday. “This latest investment will power our next chapter—pioneering the next generation of ERP, built for the AI era.”
“Workday’s decision to expand its AI footprint in Dublin is a testament to Ireland’s reputation as a global leader in technology and innovation. This investment of €175 million and 200 jobs over the next 3 years will further strengthen Ireland’s position at the forefront of AI research and development. I would like to wish Workday every success for this AI Centre of Excellence and I look forward to our continued partnership,’’ said Michael Lohan, CEO, IDA Ireland.
To support its continued growth in Europe, Workday will open a new, state-of-the-art EMEA headquarters at College Square, Dublin 2. The headquarters will include a new Customer Experience Centre (CXC) – an immersive space for European customers to collaborate alongside Workday product experts and senior leaders. Current career opportunities can be viewed at Workday’s online careers centre here.
Building Cyber Resilience in the AI era: Five ways Irish organisations can stay ahead
Artificial intelligence (AI) is rapidly reshaping the cybersecurity landscape across Ireland. While it’s unlocking new efficiencies and accelerating innovation, it’s also giving cybercriminals new evasive tools to launch faster and more sophisticated attacks. Across Ireland, organisations are navigating a new era of cyber risk defined by speed, sophistication, and AI.
As Dell Technologies continues to work closely with Irish businesses to modernise their digital infrastructure, it’s clear that cybersecurity must evolve in tandem, as a strategic enabler of trust and resilience. Threat actors are using AI to enhance ransomware, zero-day vulnerabilities, Distributed Denial of Service (DDoS) all making advanced spear-phishing much harder to identify, outpacing conventional security measuresAccording to the latest Dell Technologies Innovation Catalyst Study, 84% of Irish organisations view security as a key part of their business strategy, yet many continue to struggle with balancing innovation and security.
Almost all respondents (96%) admitted that integrating security into wider business strategies is proving difficult. These figures highlight that organisations must rethink their cybersecurity strategies to adopt proactive, intelligent, and resilient approaches that keep pace with the evolving threat environment.
Here are five ways to stay resilient against cyber threats:
1.Adopt zero trust for AI Security
As threat actors use AI to scout, steal credentials and adapt attack techniques, traditional perimeter-based defenses fall short.
That’s why more Irish organisations are adopting a Zero Trust model built on the principle of “never trust, always verify” ensuring that every user, device, and application is continuously authenticated, regardless of location.
The benefits are clear, latest Innovation Catalyst Study revealed a 100% increase in confidence levels among Irish organisations that have adopted zero trust principles, underscoring its growing value as a security framework. By implementing zero trust principles organisations can help reduce risk by continuously verifying every access request and implementing strict authentication processes. Using role-based access controls (RBAC) and network segmentation, organisations can minimize the risk of an attack and reduce the impact radius if an attack occurs.
Zero trust is more than a security philosophy. It’s a unified and adaptive strategy for identity and access management. Through a zero trust approach, organisations not only reduce their attack surface, but also strengthen their ability to detect, respond to and contain threats.
2.Reduce the attack surface
In an environment where AI-powered threat actors are constantly probing for weaknesses, reducing the attack surface is a critical line of defense. Every exposed endpoint, unsecured API, or overlooked supply chain vulnerability represents an opportunity for adversaries to infiltrate systems, deploy malware and exfiltrate sensitive data.
To mitigate these risks, Irish organisations should begin with assessing and understanding their attack surface and related vulnerabilities. From there, they should have a layered defense strategy focused on securing entry points and minimising exposure. This includes strengthening authentication, encrypting data, regularly testing for vulnerabilities and actively monitoring endpoints. Keeping systems patched and devices hardened further limits risks.
By reducing the attack surface, organisations make themselves a harder target, thereby decreasing the likelihood of an attack.
3.Continuously detect and respond to threats
AI-powered attacks are capable of mimicking legitimate behavior and evading traditional security tools, and organisations need to combine advanced threat detection with rapid response capabilities.
Leveraging AI and machine learning, organisations can monitor operational data, detect anomalies, and trigger automated responses in real time.
This AI-powered threat intelligence system builds upon itself, making it smarter and better able to identify and address attacks.
For many Irish organisations who need assistance scaling threat detection and response. Partnering with a trusted third-party provider offers round-the-clock monitoring, faster reaction times, and support in managing complex security operations. Dell Technologies continues to invest in AI-driven security solutions that help Irish organisations stay ahead of emerging threats while simplifying operational complexity.
4.Plan an incident response and recovery plan
While prevention is often the first step to a cybersecurity strategy. A strong cybersecurity strategy includes not only prevention, but also a well-defined plan for response and recovery.
Organisations here in Ireland need to create and routinely practice a robust Incident Response and Recovery (IRR) plan that outlines how to detect, contain, communicate and recover from cyber incidents. The plan should outline departmental roles and responsibilities, internal and external contacts and partners, communication protocols and include regular testing. Preapproved messaging templates and routine plan updates are also essential to maintaining operational continuity during a crisis.
Backing up critical data and applications offline or separated from production workloads helps guard it against ransomware attacks and ensures business continuity.
By preparing for disruption, Irish organisations can restore critical functions with resilience, speed, and confidence.
5.Empower employees as a first line of defense
Technology alone isn’t enough; employees remain the most critical line of defense. Organisations here in Ireland needs to create a culture of vigilance through employee awareness programmes that integrates continuous education, open communication, real-world simulations, and a culture of shared accountability. For example, incorporating attack simulations that reflect AI-specific threats like advanced phishing and deepfakes helps equip employees to recognise and respond to evolving threat actor tactics.
Collaboration across the technology ecosystem also plays a vital role in strengthening cyber resilience. Dell Technologies, together with partners like NVIDIA, is helping organisations better understand how AI-driven attacks evolve.
NVIDIA’s new AI Kill Chain Framework reimagines the traditional Cyber Kill Chain for the AI era, outlining how adversaries target AI systems through stages such as Recon, Poison, Hijack, Persist, and Impact — often cycling through these stages to adapt and escalate their tactics. This framework offers valuable insights into how attackers’ probe, manipulate, and maintain access within AI ecosystems, helping defenders anticipate and disrupt evolving threats before they lead to broader compromise.
As threat actors evolve using AI to launch increasingly sophisticated attacks, organisations must respond with equal force and foresight. Traditional defenses alone are insufficient. A modern cybersecurity strategy demands a proactive, layered approach that integrates advanced technologies, incident response planning, and a vigilant workforce.
As we mark Cybersecurity Awareness Month, it’s an important reminder that AI is transforming both the opportunities and the risks facing Irish businesses, making it more critical than ever to invest in continuous vigilance, awareness, and adaptation. By embedding resilience at every level of their cybersecurity strategy, Irish organisations can better safeguard their operations and lead with confidence in an increasingly AI-driven world.
