Misconfigured database triggered global Cloudflare failure, CEO says

Cloudflare says its global outage on 18 November was caused by an internal configuration error, not a cyberattack. CEO Matthew Prince apologised to users after a permissions update to a ClickHouse cluster generated a malformed feature file that caused systems worldwide to crash.

The oversized file exceeded a hard limit in Cloudflare’s routing software, triggering failures across its global edge. Intermittent recoveries during the first hours of the incident led engineers to suspect a possible attack, as the network randomly stabilised when a non-faulty file propagated.

Confusion intensified when Cloudflare’s externally hosted status page briefly became inaccessible, raising fears of coordinated targeting. The root cause was later traced to metadata duplication from an unexpected database source, which doubled the number of machine-learning features in the file.

The outage affected Cloudflare’s CDN, security layers, and ancillary services, including Turnstile, Workers KV, and Access. Some legacy proxies kept limited traffic moving, but bot scores and authentication systems malfunctioned, causing elevated latencies and blocked requests.

Engineers halted the propagation of the faulty file by mid-afternoon and restored a clean version before restarting affected systems. Prince called it Cloudflare’s most serious failure since 2019 and said lessons learned will guide major improvements to the company’s infrastructure resilience.

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Growing internet connections mask deep inequalities, says ITU report

According to a recent International Telecommunication Union (ITU) report, the number of internet connections continues to grow, but important inequalities persist across quality, affordability and usage.

The ITU’s Facts and Figures 2025 report estimates that nearly 6 billion people (around three-quarters of the world’s population) are online in 2025, up from 5.8 billion in 2024. Despite the increase, 2.2 billion remain offline, the majority in low- and middle-income countries.

The divide is especially stark in quality of connection. While 5G now reaches 55 per cent of the global population, coverage is heavily skewed: just 4 per cent of people in low-income countries have 5G access, compared to 84 per cent in high-income economies.

Users in wealthier countries also generate much more data, a typical user in a high-income country now sends or receives nearly eight times more mobile data than someone in a low-income country.

Affordability remains a major hurdle: even with falling median prices for mobile broadband, access is still unaffordable for about 60 per cent of the population in many low- and middle-income countries. Meanwhile, digital skills, especially advanced skills like online safety, problem-solving and content-creation, lag behind basic usage, limiting how effectively people can benefit from connectivity.

ITU Secretary-General Doreen Bogdan-Martin emphasised that achieving universal and meaningful connectivity isn’t just about getting people online, it also requires prioritising speed, reliability, cost and skills.

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The future of the EU data protection under the Omnibus Package

Introduction and background information

The Commission claims that the Omnibus Package aims to simplify certain European Union legislation to strengthen the Union’s long-term competitiveness. A total of six omnibus packages have been announced in total.

The latest (no. 4) targets small mid-caps and digitalisation. Package no. 4 covers data legislation, cookies and tracking technologies (i.e. the General Data Protection Regulation (GDPR) and ePrivacy Directive (ePD)), as well as cybersecurity incident reporting and adjustments to the Artificial Intelligence Act (AIA).

That ‘simplification’ is part of a broader agenda to appease business, industry and governments who argue that the EU has too much red tape. In her September 2025 speech to German economic and business associations, Ursula von der Leyen sided with industry and stated that simplification is ‘the only way to remain competitive’.

As for why these particular laws were selected, the rationale is unclear. One stated motivation for including the GDPR is its mention in Mario Draghi’s 2024 report on ‘The Future of European Competitiveness’.

Draghi, the former President of the European Central Bank, focused on innovation in advanced technologies, decarbonisation and competitiveness, as well as security. Yet, the report does not outline any concrete way in which the GDPR allegedly reduces competitiveness or requires revision.

The GDPR appears only twice in the report. First, as a brief reference to regulatory fragmentation affecting the reuse of sensitive health data across Member States (MS).

Second, in the concluding remarks, it is claimed that ‘the GDPR in particular has been implemented with a large degree of fragmentation which undermines the EU’s digital goals’. There is, however, no explanation of this ‘large fragmentation’, no supporting evidence, and no dedicated section on the GDPR as its first mention being buried in the R&I (research and innovation) context.

It is therefore unclear what legal or analytical basis the Commission relies on to justify including the GDPR in this simplification exercise.

The current debate

There are two main sides to this Omnibus, which are the privacy forward and the competitive/SME side. The two need not be mutually exclusive, but civil society warns that ‘simplification’ risks eroding privacy protection. Privacy advocates across civil society expressed strong concern and opposition to simplification in their responses to the European Commission’s recent call for evidence.

Industry positions vary in tone and ambition. For example, CrowdStrike calls for greater legal certainty under the Cybersecurity Act, such as making recital 55 binding rather than merely guiding and introducing a one-stop-shop mechanism for incident reporting.

Meta, by contrast, urges the Commission to go beyond ‘easing administrative burdens’, calling for a pause in AI Act enforcement and a sweeping reform of the EU data protection law. On the civil society side, Access Now argues that fundamental rights protections are at stake.

It warns that any reduction in consent prompts could allow tracking technologies to operate without users ever being given a real opportunity to refuse. A more balanced, yet cautious line can be found in the EDPB and EDPS joint opinion regarding easing records of processing activities for SMEs.

Similar to the industry, they support reducing administrative burdens, but with the caveat that amendments should not compromise the protection of fundamental rights, echoing key concerns of civil society.

Regarding Member State support, Estonia, France, Austria and Slovenia are firmly against any reopening of the GDPR. By contrast, the Czech Republic, Finland and Poland propose targeted amendments while Germany proposes a more systematic reopening of the GDPR.

Individual Members of the European Parliament have also come out in favour of reopening, notably Aura Salla, a Finnish centre-right MEP who previously headed Meta’s Brussels lobbying office.

Therefore, given the varied opinions, it cannot be said what the final version of the Omnibus would look like. Yet, a leaked draft document of the GDPR’s potential modifications suggests otherwise. Upon examination, it cannot be disputed that the views from less privacy-friendly entities have served as a strong guiding path.

Leaked draft document main changes

The leaked draft introduces several core changes.

Those changes include a new definition of personal and sensitive data, the use of legitimate interest (LI) for AI processing, an intertwining of the ePrivacy Directive (ePD) and GDPR, data breach reforms, a centralised data protection impact assessment (DPIA) whitelist/blacklist, and access rights being conditional on motive for use.

A new definition of personal data

The draft redefines personal data so that ‘information is not personal data for everyone merely because another entity can identify that natural person’. That directly contradicts established EU case law, which holds that if an entity can, with reasonable means, identify a natural person, then the information is personal data, regardless of who else can identify that person.

A new definition of sensitive data

Under current rules, inferred information can be sensitive personal data. If a political opinion is inferred from browsing history, that inference is protected.

The draft would narrow this by limiting sensitive data to information that ‘directly reveals’ special categories (political views, health, religion, sexual orientation, race/ethnicity, trade union membership). That would remove protection from data derived through profiling and inference.

Detected patterns, such as visits to a health clinic or political website, would no longer be treated as sensitive, and only explicit statements similar to ‘I support the EPP’ or ‘I am Muslim’ would remain covered.

Intertwining article 5(3) ePD and the GDPR

Article 5(3) ePD is effectively copied into the GDPR as a new Article 88a. Article 88a would allow the processing of personal data ‘on or from’ terminal equipment where necessary for transmission, service provision, creating aggregated information (e.g. statistics), or for security purposes, alongside the existing legal bases in Articles 6(1) and 9(2) of the GDPR.

That generates confusion about how these legal bases interact, especially when combined with AI processing under LI. Would this mean that personal data ‘on or from’ a terminal equipment may be allowed if it is done by AI?

The scope is widened. The original ePD covered ‘storing of information, or gaining access to information already stored, in the terminal equipment’. The draft instead regulates any processing of personal data ‘on or from’ terminal equipment. That significantly expands the ePD’s reach and would force controllers to reassess and potentially adapt a broad range of existing operations.

LI for AI personal data processing

A new Article 88c GDPR, ‘Processing in the context of the development and operation of AI’, would allow controllers to rely on LI to process personal data for AI processing. That move would largely sideline data subject control. Businesses could train AI systems on individuals’ images, voices or creations without obtaining consent.

A centralised data breach portal, deadline extension and change in threshold reporting

The draft introduces three main changes to data breach reporting.

  • Extending the notification deadline from 72 to 96 hours, giving privacy teams more time to investigate and report.
  • A single EU-level reporting portal, simplifying reporting for organisations active in multiple MS.
  • Raising the notification threshold when the rights and freedoms of data subjects are at ‘risk’ to ‘high risk’.

The first two changes are industry-friendly measures designed to streamline operations. The third is more contentious. While industry welcomes fewer reporting obligations, civil society warns that a ‘high-risk’ threshold could leave many incidents unreported. Taken together, these reforms simplify obligations, albeit at the potential cost of reducing transparency.

Centralised processing activity (PA) list requiring a DPIA

This is another welcome change as it would clarify which PAs would automatically require a DPIA and which would not. The list would be updated every 3 years.

What should be noted here is that some controllers may not see their PA on this list and assume or argue that a DPIA is not required. Therefore, the language on this should make it clear that it is not a closed list.

Access requests denials

Currently, a data subject may request a copy of their data regardless of the motive. Under the draft, if a data subject exploits the right of access by using that material against the controller, the controller may charge or refuse the request.

That is problematic for the protection of rights as it impacts informational self-determination and weakens an important enforcement tool for individuals.

For more information, an in depth analysis by noyb has been carried out which can be accessed here.

The Commission’s updated version

On 19 November, the European Commission is expected to present its official simplification package. This section will be updated once the final text is published.

Final remarks

Simplification in itself is a good idea, and businesses need to have enough freedom to operate without being suffocated with red tape. However, changing a cornerstone of data protection law to such an extent that it threatens fundamental rights protections is just cause for concern.

Alarms have already been raised after the previous Omnibus package on green due diligence obligations was scrapped. We may now be witnessing a similar rollback, this time targeting digital rights.

As a result, all eyes are on 19 November, a date that could reshape not only the EU privacy standards but also global data protection norms.

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AI search tools put to the test in UK study

AI tools are shaping online searches, but testing reveals notable risks in relying on them. ChatGPT, Google Gemini, Microsoft Copilot, Meta AI, and Perplexity were tested on 40 questions in finance, law, health, and consumer rights.

Results show errors, incomplete advice, and ethical oversights remain widespread despite AI’s popularity.

More than half of UK adults now use AI for online searches, with frequent users showing higher trust in the responses. Around one in ten regularly seeks legal advice from AI, while others use it for financial or medical guidance.

Experts warn that overconfidence in AI recommendations could lead to costly mistakes, particularly when rules differ across regions in the UK.

Perplexity outperformed other tools in accuracy and reliability, while ChatGPT ranked near the bottom. Google’s AI overview (AIO) often delivers better results for legal and health queries, while its Gemini chatbot scores higher on finance and consumer questions.

Users are encouraged to verify sources, as many AI outputs cite vague or outdated references and occasionally promote questionable services.

Despite flaws, AI remains a valuable tool for basic research, summarising information quickly and highlighting key points. Experts advise using multiple AI tools and consulting professionals for complex financial, legal, or medical matters.

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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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UK uses AI to fight drug-resistant infections

The UK is harnessing AI to combat the growing threat of drug-resistant infections, a crisis often called ‘the silent pandemic’. The Fleming Initiative and GSK will invest £45m in AI research to speed up new antibiotics and combat deadly bacteria and fungi.

The project targets Gram-negative bacteria, such as E. coli and Klebsiella, which resist treatment due to their protective outer layers. Researchers will test different molecules and use AI to identify which can penetrate and persist in these bacteria.

The goal is to shorten years of laboratory work into rapid computational predictions that guide the design of effective antibiotics.

AI will predict how resistant infections emerge and spread, helping scientists anticipate threats early. The initiative will also target deadly fungal infections, such as Aspergillus, which threaten people with weakened immune systems.

Experts hope the approach can outpace bacterial evolution and reduce the human toll from untreatable infections. Fleming Initiative director Alison Holmes emphasised the vital role of antibiotics in modern medicine and warned that overuse has squandered this critical resource.

Tony Wood, GSK’s chief scientific officer, said the project will open new avenues for discovering antibiotics while anticipating resistance, transforming the treatment and prevention of serious infections worldwide.

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EU aviation regulator opens debate on AI oversight and safety

EASA has issued its first regulatory proposal on AI in aviation, opening a three-month consultation for industry feedback. The draft focuses on trustworthy, data-driven AI systems and anticipates applications ranging from basic assistance to human–AI teaming.

The move comes amid wider criticism of EU AI rules from major tech firms and political leaders. Aviation stakeholders are now assessing whether compliance costs and operational demands could slow development or disrupt competitive positioning across the sector.

Experts warn that adapting to the framework may require significant investment, particularly for companies with limited resources. Others may accelerate AI adoption to preserve market advantage, especially where safety gains or efficiency improvements justify rapid deployment.

EASA stresses that consultation is essential to balance strict assurance requirements with the flexibility needed for innovation. Privacy and personal data issues remain contentious, shaping expectations for acceptable AI use in safety-critical environments.

Meanwhile, Airbus is pushing to reach 75 A320-family deliveries per month by 2027, driven by the A321neo’s strong order book. In parallel, Mitsui OSK Lines continues to lead the global LNG carrier market, reflecting broader momentum across adjacent transport sectors.

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Report calls for new regulations as AI deepfakes threaten legal evidence

US courtrooms increasingly depend on video evidence, yet researchers warn that the legal system is unprepared for an era in which AI can fabricate convincing scenes.

A new report led by the University of Colorado Boulder argues that national standards are urgently needed to guide how courts assess footage generated or enhanced by emerging technologies.

The authors note that judges and jurors receive little training on evaluating altered clips, despite more than 80 percent of cases involving some form of video.

Concerns have grown as deepfakes become easier to produce. A civil case in California collapsed in September after a judge ruled that a witness video was fabricated, and researchers believe such incidents will rise as tools like Sora 2 allow users to create persuasive simulations in moments.

Experts also warn about the spread of the so-called deepfake defence, where lawyers attempt to cast doubt on genuine recordings instead of accepting what is shown.

AI is also increasingly used to clean up real footage and to match surveillance clips with suspects. Such techniques can improve clarity, yet they also risk deepening inequalities when only some parties can afford to use them.

High-profile errors linked to facial recognition have already led to wrongful arrests, reinforcing the need for more explicit courtroom rules.

The report calls for specialised judicial training, new systems for storing and retrieving video evidence and stronger safeguards that help viewers identify manipulated content without compromising whistleblowers.

Researchers hope the findings prompt legal reforms that place scientific rigour at the centre of how courts treat digital evidence as it shifts further into an AI-driven era.

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Deepfakes surge as scammers exploit AI video tools

Experts warn online video is entering a perilous new phase as AI deepfakes spread. Analysts say totals climbed from roughly 500,000 in 2023 to eight million in 2025.

Security researchers say deepfake scams have risen by more than 3,000 percent recently. Studies also indicate humans correctly spot high-quality fakes only around one in four times. People are urged to question surprising clips, verify stories elsewhere and trust their instincts.

Video apps such as Sora 2 create lifelike clips that fraudsters reuse for scams. Sora passed one million downloads and later tightened rules after racist deepfakes of Martin Luther King Jr.

Specialists at Outplayed suggest checking eye blinks, mouth movements and hands for subtle distortions. Inconsistent lighting, unnaturally smooth skin or glitching backgrounds can reveal manipulated or AI-generated video.

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New report warns retailers are unprepared for AI-powered attacks

Retailers are entering the peak shopping season amid warnings that AI-driven cyber threats will accelerate. LevelBlue’s latest Spotlight Report says nearly half of retail executives are already seeing significantly higher attack volumes, while one-third have suffered a breach in the past year.

The sector is under pressure to roll out AI-driven personalisation and new digital channels, yet only a quarter feel ready to defend against AI attacks. Readiness gaps also cover deepfakes and synthetic identity fraud, even though most expect these threats to arrive soon.

Supply chain visibility remains weak, with almost half of executives reporting limited insight into software suppliers. Few list supplier security as a near-term priority, fuelling concern that vulnerabilities could cascade across retail ecosystems.

High-profile breaches have pushed cybersecurity into the boardroom, and most retailers now integrate security teams with business operations. Leadership performance metrics and risk appetite frameworks are increasingly aligned with cyber resilience goals.

Planned investment is focused on application security, business-wide resilience processes, and AI-enabled defensive tools. LevelBlue argues that sustained spending and cultural change are required if retailers hope to secure consumer trust amid rapidly evolving threats.

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