Australia strengthens parent support for new social media age rules

Yesterday, Australia entered a new phase of its online safety framework after the introduction of the Social Media Minimum Age policy.

eSafety has established a new Parent Advisory Group to support families as the country transitions to enhanced safeguards for young people. The group held its first meeting, with the Commissioner underlining the need for practical and accessible guidance for carers.

The initiative brings together twelve organisations representing a broad cross-section of communities in Australia, including First Nations families, culturally diverse groups, parents of children with disability and households in regional areas.

Their role is to help eSafety refine its approach, so parents can navigate social platforms with greater confidence, rather than feeling unsupported during rapid regulatory change.

A group that will advise on parent engagement, offer evidence-informed insights and test updated resources such as the redeveloped Online Safety Parent Guide.

Their advice will aim to ensure materials remain relevant, inclusive and able to reach priority communities that often miss out on official communications.

Members will serve voluntarily until June 2026 and will work with eSafety to improve distribution networks and strengthen the national conversation on digital literacy. Their collective expertise is expected to shape guidance that reflects real family experiences instead of abstract policy expectations.

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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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Claude Opus 4.5 brings smarter AI to apps and developers

Anthropic has launched Claude Opus 4.5, now available on apps, API, and major cloud platforms. Priced at $ 5 per million tokens and $25 per million tokens, the update makes Opus-level AI capabilities accessible to a broader range of users, teams, and enterprises.

Alongside the model, updates to Claude Developer Platform and Claude Code introduce new tools for longer-running agents and enhanced integration with Excel, Chrome, and desktop apps.

Early tests indicate that Opus 4.5 can handle complex reasoning and problem-solving with minimal guidance. It outperforms previous versions on coding, vision, reasoning, and mathematics benchmarks, and even surpasses top human candidates in technical take-home exams.

The model demonstrates creative approaches to multi-step problems while remaining aligned with safety and policy constraints.

Significant improvements have been made to robustness and security. Claude Opus 4.5 resists prompt injection and handles complex tasks with less intervention through effort controls, context compaction, and multi-agent coordination.

Users can manage token usage more efficiently while achieving superior performance.

Claude Code now offers Plan Mode and desktop functionality for multiple simultaneous sessions, and consumer apps support uninterrupted long conversations. Beta access for Excel and Chrome lets enterprise and team users fully utilise Opus 4.5’s workflow improvements.

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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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UK enforces digital travel approval through new ETA system

Visitors from 85 nationalities, including those from the US, Canada, and France, will soon be required to secure an Electronic Travel Authorisation to enter the UK.

The requirement takes effect in February 2026 and forms part of a move towards a fully digital immigration system that aims to deliver a contactless border in the future.

More than thirteen million people in the UK have already used the ETA since its introduction in 2023. However, the government claims that this scale facilitates smoother travel and faster processing for most applicants.

Carriers will be required to confirm that incoming passengers hold either an ETA or an eVisa before departure, a step officials argue strengthens the country’s ability to block individuals who present a security risk.

British and Irish citizens remain exempt; however, dual nationals have been advised to carry a valid British passport to avoid any difficulties when boarding.

The application process takes place through the official ETA app, costs £ 16, and concludes typically within minutes. However, applicants are advised to allow three working days in case additional checks are required.

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Nokia to invest 4 billion in AI-ready US networks

Nokia has announced a $4 billion expansion of its US research, development, and manufacturing operations to accelerate AI-ready networking technologies. The move builds on Nokia’s earlier $2.3 billion US investment via Infinera and semiconductor manufacturing plans.

The expanded investment will support mobile, fixed access, IP, optical, data centre networking, and defence solutions. Approximately $3.5 billion will be allocated for R&D, with $500 million dedicated to manufacturing and capital expenditures in Texas, New Jersey, and Pennsylvania.

Nokia aims to advance AI-optimised networks with enhanced security, productivity, and energy efficiency. The company will also focus on automation, quantum-safe networks, semiconductor testing, and advanced material sciences to drive innovation.

Officials highlight the strategic impact of Nokia’s US investment. Secretary of Commerce Howard Lutnick praised the plan for boosting US tech capacity, while CEO Justin Hotard said it would secure the future of AI-driven networks.

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KT launches secure public cloud with Microsoft for South Korean enterprises

The telco firm, KT Corp, has introduced a Secure Public Cloud service in partnership with Microsoft, designed to meet South Korea’s stringent data sovereignty demands instead of relying solely on global cloud platforms.

Built on Microsoft Azure, the platform targets sectors such as finance and manufacturing, offering high-performance computing while ensuring all data remains stored and processed domestically.

A service that is based on three pillars: end-to-end data protection, enhanced enterprise control over cloud resources, and strict compliance with the residency requirements of South Korea.

Confidential computing encrypts data even during in-memory execution, while a managed hardware security module allows customers to fully own and manage encryption keys, enabling true end-to-end protection.

KT said the platform is particularly suitable for AI training, transaction-heavy applications, and operational workloads where data exposure could pose major risks.

By combining domestic governance with the flexibility and scalability of Azure, the company aims to give enterprises a reliable cloud solution without compromising performance or compliance.

The launch also strengthens KT’s broader cloud ecosystem, which includes KT Cloud and managed global cloud services like AWS.

KT plans to expand the Secure Public Cloud gradually across industries, responding to rising demand from organizations that need robust domestic data controls instead of facing the risks of cross-border data exposure.

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NVIDIA pushes forward with AI-ready data

Enterprises are facing growing pressure to prepare unstructured data for use in modern AI systems as organisations struggle to turn prototypes into production tools.

Around forty percent of AI projects advance beyond the pilot phase, largely due to limits in data quality and availability. Most organisational information now comes in unstructured form, ranging from emails to video files, which offers little coherence and places a heavy load on governance systems.

AI agents need secure, recent and reliable data instead of fragmented information scattered across multiple storage silos. Preparing such data demands extensive curation, metadata work, semantic chunking and the creation of vector embeddings.

Enterprises also struggle with the rising speed of data creation and the spread of duplicate copies, which increases both operational cost and security concerns.

An emerging approach by NVIDIA, known as the AI data platform, aims to address these challenges by embedding GPU acceleration directly into the data path. The platform prepares and indexes information in place, allowing enterprises to reduce data drift, strengthen governance and avoid unnecessary replication.

Any change to a source document is immediately reflected in the associated AI representations, improving accuracy and consistency for business applications.

NVIDIA is positioning its own AI Data Platform reference design as a next step for enterprise storage. The design combines RTX PRO 6000 Blackwell Server Edition GPUs, BlueField three DPUs and integrated AI processing pipelines.

Leading technology providers including Cisco, Dell Technologies, IBM, HPE, NetApp, Pure Storage and others have adopted the model as they prepare storage systems for broader use of generative AI in the enterprise sector.

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Old laws now target modern tracking technology

Class-action privacy litigation continues to grow in frequency, repurposing older laws to address modern data tracking technologies. Recent high-profile lawsuits have applied the California Invasion of Privacy Act and the Video Privacy Protection Act.

A unanimous jury verdict recently found Meta Platforms violated CIPA Section 632 (which is now under appeal) by eavesdropping on users’ confidential communications without consent. The court ruled that Meta intentionally used its SDK within a sexual health app, Flo, to intercept sensitive real-time user inputs.

That judgement suggests an electronic device under the statute need not be physical, with a user’s phone qualifying as the requisite device. The legal success in these cases highlights a significant, rising risk for all companies utilising tracking pixels and software development kits (SDKs).

Separately, the VPPA has found new power against tracking pixels in the case of Jancik v. WebMD concerning video-viewing data. The court held that a consumer need not pay for a video service but can subscribe by simply exchanging their email address for a newsletter.

Companies must ensure their privacy policies clearly disclose all such tracking conduct to obtain explicit, valid consent. The courts are taking real-time data interception seriously, noting intentionality may be implied when a firm fails to stem the flow of sensitive personally identifiable information.

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