Cyberattack disrupts services across multiple London boroughs

Multiple London councils are responding to a cyberattack that has disrupted shared IT systems and raised concerns about data exposure. Kensington and Chelsea and Westminster councils detected the incident on Monday and alerted the Information Commissioner’s Office as investigations began.

The councils say they are working with specialist incident teams and the National Cyber Security Centre (NCSC) to protect systems and keep key services running. Several platforms have been affected, and staff have been redeployed to support residents through monitored phone lines and email channels.

Hammersmith and Fulham, which shares IT services with the affected councils, has also reported disruption. Local leaders say it is too early to confirm who was responsible or whether personal data has been compromised. Overnight mitigation work has been carried out as monitoring continues.

Security researchers describe indications of a serious intrusion involving lateral movement across shared infrastructure. They warn that attackers may escalate to data theft or encryption, given the sensitivity of the information held by local authorities.

National security agencies and police are assessing the incident’s potential impact. Analysts say the attack highlights long-standing risks facing councils that manage extensive services on limited budgets and with inconsistent cyber safeguards.

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What the Cloudflare outage taught us: Tracing ones that shaped the internet of today

The internet has become part of almost everything we do. It helps us work, stay in touch with friends and family, buy things, plan trips, and handle tasks that would have felt impossible until recently. Most people cannot imagine getting through the day without it.

But there is a hidden cost to all this convenience. Most of the time, online services run smoothly, with countless systems working together in the background. But every now and then, though, a key cog slips out of place.

When that happens, the effects can spread fast, taking down apps, websites, and even entire industries within minutes. These moments remind us how much we rely on digital services, and how quickly everything can unravel when something goes wrong. It raises an uncomfortable question. Is digital dependence worth the convenience, or are we building a house of cards that could collapse, pulling us back into reality?

Warning shots of the dot-com Era and the infancy of Cloud services

In its early years, the internet saw several major malfunctions that disrupted key online services. Incidents like the Morris worm in 1988, which crashed about 10 percent of all internet-connected systems, and the 1996 AOL outage that left six million users offline, revealed how unprepared the early infrastructure was for growing digital demand.

A decade later, the weaknesses were still clear. In 2007, Skype, then with over 270 million users, went down for nearly two days after a surge in logins triggered by a Windows update overwhelmed its network. Since video calls were still in their early days, the impact was not as severe, and most users simply waited it out, postponing chats with friends and family until the issue was fixed.

As the dot-com era faded and the 2010s began, the shift to cloud computing introduced a new kind of fragility. When Amazon’s EC2 and EBS systems in the US-East region went down in 2011, the outage took down services like Reddit, Quora, and IMDb for days, exposing how quickly failures in shared infrastructure can cascade.

A year later, GoDaddy’s DNS failure took millions of websites offline, while large-scale Gmail disruptions affected users around the world, early signs that the cloud’s growing influence came with increasingly high stakes.

By the mid-2010s, it was clear that the internet had evolved from a patchwork of standalone services to a heavily interconnected ecosystem. When cloud or DNS providers stumbled, their failures rippled simultaneously across countless platforms. The move to centralised infrastructure made development faster and more accessible, but it also marked the beginning of an era where a single glitch could shake the entire web.

Centralised infrastructure and the age of cascading failures

The late 2000s and early 2010s saw a rapid rise in internet use, with nearly 2 billion people worldwide online. As access grew, more businesses moved into the digital space, offering e-commerce, social platforms, and new forms of online entertainment to a quickly expanding audience.

With so much activity shifting online, the foundation beneath these services became increasingly important, and increasingly centralised, setting the stage for outages that could ripple far beyond a single website or app.

The next major hit came in 2016, when a massive DDoS attack crippled major websites across the USA and Europe. Platforms like Netflix, Reddit, Twitter, and CNN were suddenly unreachable, not because they were directly targeted, but because Dyn, a major DNS provider, had been overwhelmed.

The attack used the Mirai botnet malware to hijack hundreds of thousands of insecure IoT devices and flood Dyn’s servers with traffic. It was one of the clearest demonstrations yet that knocking out a single infrastructure provider could take down major parts of the internet in one stroke.

In 2017, another major outage occurred, with Amazon at the centre once again. On 28 February, the company’s Simple Storage Service (S3) went down for about 4 hours, disrupting access across a large part of the US-EAST-1 region. While investigating a slowdown in the billing system, an Amazon engineer accidentally entered a typo in a command, taking more servers offline than intended.

That small error was enough to knock out services like Slack, Quora, Coursera, Expedia and countless other websites that relied on S3 for storage or media delivery. The financial impact was substantial; S&P 500 companies alone were estimated to have lost roughly 150 million dollars during the outage.

Amazon quickly published a clear explanation and apology, but transparency could not undo the economic damage nor (yet another) sudden reminder that a single mistake in a centralised system could ripple across the entire web.

Outages in the roaring 2020s

The S3 incident made one thing clear. Outages were no longer just about a single platform going dark. As more services leaned on shared infrastructure, even small missteps could take down enormous parts of the internet. And this fragility did not stop at cloud storage.

Over the next few years, attention shifted to another layer of the online ecosystem: content delivery networks and edge providers that most people had never heard of but that nearly every website depended on.

The 2020s opened with one of the most memorable outages to date. On 4 October 2021, Facebook and its sister platforms, Instagram, WhatsApp, and Messenger, vanished from the internet for nearly 7 hours after a faulty BGP configuration effectively removed the company’s services from the global routing table.

Millions of users flocked to other platforms to vent their frustration, overwhelming Twitter, Telegram, Discord, and Signal’s servers and causing performance issues across the board. It was a rare moment when a single company’s outage sent measurable shockwaves across the entire social media ecosystem.

But what happens when outages hit industries far more essential than social media? In 2023, the Federal Aviation Administration was forced to delay more than 10,000 flights, the first nationwide grounding of air traffic since the aftermath of September 11.

A corrupted database file brought the agency’s Notice to Air Missions (NOTAM) system to a standstill, leaving pilots without critical safety updates and forcing the entire aviation network to pause. The incident sent airline stocks dipping and dealt another blow to public confidence, showing just how disruptive a single technical failure can be when it strikes at the heart of critical infrastructure.

Outages that defined 2025

The year 2025 saw an unprecedented wave of outages, with server overloads, software glitches and coding errors disrupting services across the globe. The Microsoft 365 suite outage in January, the Southwest Airlines and FAA synchronisation failure in April, and the Meta messaging blackout in July all stood out for their scale and impact.

But the most disruptive failures were still to come. In October, Amazon Web Services suffered a major outage in its US-East-1 region, knocking out everything from social apps to banking services and reminding the world that a fault in a single cloud region can ripple across thousands of platforms.

Just weeks later, the Cloudflare November outage became the defining digital breakdown of the year. A logic bug inside its bot management system triggered a cascading collapse that took down social networks, AI tools, gaming platforms, transit systems and countless everyday websites in minutes. It was the clearest sign yet that when core infrastructure falters, the impact is immediate, global and largely unavoidable.

And yet, we continue to place more weight on these shared foundations, trusting they will hold because they usually do. Every outage, whether caused by a typo, a corrupted file, or a misconfigured update, exposes how quickly things can fall apart when one key piece gives way.

Going forward, resilience needs to matter as much as innovation. That means reducing single points of failure, improving transparency, and designing systems that can fail without dragging everything down. The more clearly we see the fragility of the digital ecosystem, the better equipped we are to strengthen it.

Outages will keep happening, and no amount of engineering can promise perfect uptime. But acknowledging the cracks is the first step toward reinforcing what we’ve built — and making sure the next slipped cog does not bring the whole machine to a stop.

The smoke and mirrors of the digital infrastructure

The internet is far from destined to collapse, but resilience can no longer be an afterthought. Redundancy, decentralisation and smarter oversight need to be part of the discussion, not just for engineers, but for policymakers as well.

Outages do not just interrupt our routines. They reveal the systems we have quietly built our lives around. Each failure shows how deeply intertwined our digital world has become, and how fast everything can stop when a single piece gives way.

Will we learn enough from each one to build a digital ecosystem that can absorb the next shock instead of amplifying it? Only time will tell.

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Agentic AI transforms enterprise workflows in 2026

Enterprise AI entered a new phase as organisations transitioned from simple, prompt-driven tools to autonomous agents capable to acting within complex workflows.

Leaders now face a reality where agentic systems can accelerate development, improve decision-making, and support employees, yet concerns over unreliable data and inconsistent behaviour still weaken trust.

AI adoption has risen sharply, although many remain cautious about committing fully without stronger safeguards in place.

The next stage will rely on multi-agent models where an orchestrator coordinates specialised agents across departments. Single agents will lose effectiveness if they fail to offer scalable value, as enterprises require communication protocols, unified context, and robust governance.

Agents will increasingly pursue outcomes rather than follow instructions. At the same time, event-driven automation will allow them to detect problems, initiate analysis, and collaborate with other agents without waiting for human prompts. Simulation environments will further accelerate learning and strengthen reliability.

Trusted AI will become a defining competitive factor. Brands will be judged by the quality, personalisation, and relational intelligence of their agents rather than traditional identity markers.

Effective interfaces, transparent governance, and clear metrics for agent adherence will shape customer loyalty and shareholder confidence.

Cybersecurity will shift toward autonomous, self-healing digital immune systems, while advances in spatially aware AI will accelerate robotics and immersive simulations across various industries.

Broader impacts will reshape workplace culture. AI-native engineers will shorten development cycles, while non-technical employees will create personal applications, rather than relying solely on central teams.

Ambient intelligence may push new hardware into the mainstream, and sustainability debates will increasingly focus on water usage in data-intensive AI systems. Governments are preparing to upskill public workforces, and consumer agents will pressure companies to offer better value.

Long-term success will depend on raising AI literacy and selecting platforms designed for scalable, integrated, and agentic operations.

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Canada deepens 5G leadership with major Nokia expansion

Yesterday, Canada announced that it has moved forward with a significant partnership that places Nokia at the centre of national ambitions for advanced 5G research.

A groundbreaking event in Ottawa marked the beginning of an expanded programme of work focused on AI, machine learning and next-generation network development. Government ministers emphasised that the investment enhances digital infrastructure, rather than relying on outdated foundations that limit growth.

Nokia plans to revitalise and enlarge its Ottawa facility by adding new lab space and new streams of research activity. The project is expected to create more than 300 jobs and widen opportunities for post-secondary students, strengthening the region’s technology base.

Canada has contributed $40 million through the Strategic Response Fund to support these developments and reinforce the country’s role in the global telecommunications sector.

Government officials argued that the collaboration will fuel economic prosperity and broaden Canada’s capacity to innovate. Advanced 5G networks are expected to bring benefits extending from defence and telecommunications to clean energy, precision agriculture and modern telemedicine.

Ministers presented the partnership as a means to a highly skilled workforce, rather than one that relies on imported expertise.

Nokia’s leadership described the project as a long-term commitment to Canada’s innovation ecosystem. The company highlighted the importance of local talent, secure digital infrastructure and future-oriented research in AI, quantum technology and advanced connectivity.

The expansion strengthens Canada’s position as a leader in next-generation networks and supports an innovation-driven economy.

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Deepfake and AI fraud surges despite stable identity-fraud rates

According to the 2025 Identity Fraud Report by verification firm Sumsub, the global rate of identity fraud has declined modestly, from 2.6% in 2024 to 2.2% this year; however, the nature of the threat is changing rapidly.

Fraudsters are increasingly using generative AI and deepfakes to launch what Sumsub calls ‘sophisticated fraud’, attacks that combine synthetic identities, social engineering, device tampering and cross-channel manipulation. These are not mass spam scams: they are targeted, high-impact operations that are far harder to detect and mitigate.

The report reveals a marked increase in deepfake-related schemes, including synthetic-identity fraud (the creation of entirely fake but AI-generated identities) and biometric forgeries designed to bypass identity verification processes. Deepfake-fraud and synthetic-identity attacks now represent a growing share of first-party fraud cases (where the verified ‘user’ is actually the fraudster).

Meanwhile, high-risk sectors such as dating apps, cryptocurrency exchanges and financial services are being hit especially hard. In 2025, romance-style scams involving AI personas and deepfakes accounted for a notable share of fraud cases. Banks, digital-first lenders and crypto platforms report rising numbers of impostor accounts and fraudulent onboarding attempts.

This trend reveals a significant disparity: although headline fraud rates have decreased slightly, each successful AI-powered fraud attempt now tends to be far more damaging, both financially and reputationally. As Sumsub warned, the ‘sophistication shift’ in digital identity fraud means that organisations and users must rethink security assumptions.

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AWS commits $50bn to US government AI

Amazon Web Services plans to invest $50 billion in high performance AI infrastructure dedicated to US federal agencies. The programme aims to broaden access to AWS tools such as SageMaker AI, Bedrock and model customisation services, alongside support for Anthropic’s Claude.

The expansion will add around 1.3 gigawatts of compute capacity, enabling agencies to run larger models and speed up complex workloads. AWS expects construction of the new data centres to begin in 2026, marking one of its most ambitious government-focused buildouts to date.

Chief executive Matt Garman argues the upgrade will remove long-standing technology barriers within government. The company says enhanced AI capabilities could accelerate work in areas ranging from cybersecurity to medical research while strengthening national leadership in advanced computing.

AWS has spent more than a decade developing secure environments for classified and sensitive government operations. Competitors have also stepped up US public sector offerings, with OpenAI, Anthropic and Google all rolling out heavily discounted AI products for federal use over the past year.

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DXB introduces AI-powered system to speed up ground operations

Dubai Airports has entered into a partnership with aviation software company Assaia to deploy an AI-driven turnaround management system across all aircraft stands at DXB. The initiative is part of a broader push to modernise ground operations using real-time data and predictive analytics.

The new system gives the airport and its partners, including airlines like Emirates, flydubai and the ground-handling group dnata, better situational awareness.

By coordinating tasks such as baggage loading, refuelling, catering and passenger boarding, the AI tool aims to reduce delays and improve on-time performance across a network that handles hundreds of flights daily.

According to Dubai Airports, the system will bring greater precision and consistency to turnarounds. Majed Al Joker, Chief Operating Officer at Dubai Airports, said the initiative reflects the airport’s commitment to leveraging advanced technologies to ‘shape the next generation of airport operations’.

For aviation policymakers and infrastructure planners, this move at DXB underscores how AI is becoming central to capacity expansion, not only through the construction of new runways or terminals, but also by optimising the throughput of existing infrastructure.

As airports worldwide face capacity constraints, AI-driven ground operations may emerge as a key lever for efficiency, resilience and sustainability.

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Google warns Europe risks losing its AI advantage

European business leaders heard an urgent message in Brussels as Google underlined the scale of the continent’s AI opportunity and the risks of falling behind global competitors.

Debbie Weinstein, Google’s President for EMEA, argued that Europe holds immense potential for a new generation of innovative firms. Yet, too few companies can access the advanced technologies that already drive growth elsewhere.

Weinstein noted that only a small share of European businesses use AI, even though the region could unlock over a trillion euros in economic value within a decade.

She suggested that firms are hampered by limited access to cutting-edge models, rather than being supported with the most capable tools. She also warned that abrupt policy shifts and a crowded regulatory landscape make it harder for founders to experiment and expand.

Europe has the skills and talent to build strong AI-driven industries, but it needs more straightforward rules and a long-term approach to training.

Google pointed to its own investments in research centres, cybersecurity hubs and digital infrastructure across the continent, as well as programmes that have trained millions of Europeans in digital and entrepreneurial skills.

Weinstein insisted that a partnership between governments, industry and civil society is essential to prepare workers and businesses for the AI era.

She argued that providing better access to advanced AI, clearer legislation instead of regulatory overlap and sustained investment in skills would allow European firms to compete globally. With those foundations in place, she said Europe could secure its share of the emerging AI economy.

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White House launches Genesis Mission for AI-driven science

Washington prepares for a significant shift in research as the White House launches the Genesis Mission, a national push to accelerate innovation through advanced AI. The initiative utilises AI to enhance US US technological leadership in a competitive global landscape.

The programme puts the Department of Energy at the centre, tasked with building a unified AI platform linking supercomputers, federal datasets and national laboratories.

The goal is to develop AI models and agents that automate experiments, test hypotheses and accelerate breakthroughs in key scientific fields.

Federal agencies, universities and private firms will conduct coordinated research using shared data spaces, secure computing and standardised partnership frameworks. Priority areas cover biotechnology, semiconductors, quantum science, critical materials and next-generation energy.

Officials argue that the Genesis Mission represents one of the most ambitious attempts to modernise US research infrastructure. Annual reviews will track scientific progress, security, collaborations and AI-driven breakthroughs.

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NVIDIA powers a new wave of specialised AI agents to transform business

Agentic AI has entered a new phase as companies rely on specialised systems instead of broad, one-size-fits-all models.

Open-source foundations, such as NVIDIA’s Neuron family, now allow organisations to combine internal knowledge with tailored architectures, leading to agents that understand the precise demands of each workflow.

Firms across cybersecurity, payments and semiconductor engineering are beginning to treat specialisation as the route to genuine operational value.

CrowdStrike is utilising Nemotron and NVIDIA NIM microservices to enhance its Agentic Security Platform, which supports teams by handling high-volume tasks such as alert triage and remediation.

Accuracy has risen from 80 to 98.5 percent, reducing manual effort tenfold and helping analysts manage complex threats with greater speed.

PayPal has taken a similar path by building commerce-focused agents that enable conversational shopping and payments, cutting latency nearly in half while maintaining the precision required across its global network of customers and merchants.

Synopsys is deploying agentic AI throughout chip design workflows by pairing open models with NVIDIA’s accelerated infrastructure. Early trials in formal verification show productivity improvements of 72 percent, offering engineers a faster route to identifying design errors.

The company is blending fine-tuned models with tools such as the NeMo Agent Toolkit and Blueprints to embed agentic support at every stage of development.

Across industries, strategic steps are becoming clear. Organisations begin by evaluating open models before curating and securing domain-specific data and then building agents capable of acting on proprietary information.

Continuous refinement through a data flywheel strengthens long-term performance.

NVIDIA aims to support the shift by promoting Nemotron, NeMo and its broader software ecosystem as the foundation for the next generation of specialised enterprise agents.

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