Network security

DOGE transfers social security data to the cloud, sources say

A whistle-blower has reported that the Department of Government Efficiency (DOGE) allegedly transferred a copy of the US Social Security database to an Amazon Web Services cloud environment.

The action placed personal information for more than 300 million individuals in a system outside traditional federal oversight.

Known as NUMIDENT, the database contains information submitted for Social Security applications, including names, dates of birth, addresses, citizenship, and parental details.

DOGE personnel managed the cloud environment and gained administrative access to perform testing and operational tasks.

Federal officials have highlighted that standard security protocols and authorisations, such as those outlined under the Federal Information Security Management Act (FISMA) and the Privacy Act of 1974, are designed to protect sensitive data.

Internal reviews have been prompted by the transfer, raising questions about compliance with established federal security practices.

While DOGE has not fully clarified the purpose of the cloud deployment, observers note that such initiatives may relate to broader federal efforts to improve data accessibility or inter-agency information sharing.

The case is part of ongoing discussions on balancing operational flexibility with information security in government systems.

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AI scams target seniors’ savings

Cybersecurity experts have warned that AI is being used to target senior citizens in sophisticated financial scams. The Phantom Hacker scam impersonates tech support, bank, and government workers to steal seniors’ life savings.

The first stage involves a fake tech support worker accessing the victim’s computer to check accounts under the pretence of spotting fraud. A fraud department impersonator then tells victims to transfer funds to a ‘safe’ account allegedly at risk from foreign hackers.

A fake government worker then directs the victim to transfer money to an alias account controlled by the scammers. Check Point CIO Pete Nicoletti says AI helps scammers identify targets by analysing social media and online activity.

Experts stress that reporting the theft immediately is crucial. Delays significantly reduce the chance of recovering stolen funds, leaving many victims permanently defrauded.

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Azure Active Directory flaw exposes sensitive credentials

A critical security flaw in Azure Active Directory has exposed application credentials stored in appsettings.json files, allowing attackers unprecedented access to Microsoft 365 tenants.

By exploiting these credentials, threat actors can masquerade as trusted applications and gain unauthorised entry to sensitive organisational data.

The vulnerability leverages the OAuth 2.0 Client Credentials Flow, enabling attackers to generate valid access tokens.

Once authenticated, they can access Microsoft Graph APIs to enumerate users, groups, and directory roles, especially when applications have been granted excessive permissions such as Directory.Read.All or Mail.Read. Such access permits data harvesting across SharePoint, OneDrive, and Exchange Online.

Attackers can also deploy malicious applications under compromised tenants, escalating privileges from limited read access to complete administrative control.

Additional exposed secrets like storage account keys or database connection strings enable lateral movement, modification of critical data, and the creation of persistent backdoors within cloud infrastructure.

Organisations face profound compliance implications under GDPR, HIPAA, or SOX. The vulnerability emphasises the importance of auditing configuration files, storing credentials securely in solutions like Azure Key Vault, and monitoring authentication patterns to prevent long-term, sophisticated attacks.

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AI-generated media must now carry labels in China

China has introduced a sweeping new law that requires all AI-generated content online to carry labels. The measure, which came into effect on 1 September, aims to tackle misinformation, fraud and copyright infringement by ensuring greater transparency in digital media.

The law, first announced in March by the Cyberspace Administration of China, mandates that all AI-created text, images, video and audio must carry explicit and implicit markings.

These include visible labels and embedded metadata such as watermarks in files. Authorities argue that the rules will help safeguard users while reinforcing Beijing’s tightening grip over online spaces.

Major platforms such as WeChat, Douyin, Weibo and RedNote moved quickly to comply, rolling out new features and notifications for their users. The regulations also form part of the Qinglang campaign, a broader effort by Chinese authorities to clean up online activity with a strong focus on AI oversight.

While Google and other US companies are experimenting with content authentication tools, China has enacted legally binding rules nationwide.

Observers suggest that other governments may soon follow, as global concern about the risks of unlabelled AI-generated material grows.

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ChatGPT safety checks may trigger police action

OpenAI has confirmed that ChatGPT conversations signalling a risk of serious harm to others can be reviewed by human moderators and may even reach the police.

The company explained these measures in a blog post, stressing that its system is designed to balance user privacy with public safety.

The safeguards treat self-harm differently from threats to others. When a user expresses suicidal intent, ChatGPT directs them to professional resources instead of contacting law enforcement.

By contrast, conversations showing intent to harm someone else are escalated to trained moderators, and if they identify an imminent risk, OpenAI may alert authorities and suspend accounts.

The company admitted its safety measures work better in short conversations than in lengthy or repeated ones, where safeguards can weaken.

OpenAI is working to strengthen consistency across interactions and developing parental controls, new interventions for risky behaviour, and potential connections to professional help before crises worsen.

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AI oversight and audits at core of Pakistan’s security plan

Pakistan plans to roll out AI-driven cybersecurity systems to monitor and respond to attacks on critical infrastructure and sensitive data in real time. Documents from the Ministry for Information Technology outline a framework to integrate AI into every stage of security operations.

The initiative will enforce protocols like secure data storage, sandbox testing, and collaborative intelligence sharing. Human oversight will remain mandatory, with public sector AI deployments registered and subject to transparency requirements.

Audits and impact assessments will ensure compliance with evolving standards, backed by legal penalties for breaches. A national policy on data security will define authentication, auditing, and layered defence strategies across network, host, and application levels.

New governance measures include identity management policies with multi-factor authentication, role-based controls, and secure frameworks for open-source AI. AI-powered simulations will help anticipate threats, while regulatory guidelines address risks from disinformation and generative AI.

Regulatory sandboxes will allow enterprises in Pakistan to test systems under controlled conditions, with at least 20 firms expected to benefit by 2027. Officials say the measures will balance innovation with security, safeguarding infrastructure and citizens.

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Meta under fire over AI deepfake celebrity chatbots

Meta faces scrutiny after a Reuters investigation found its AI tools created deepfake chatbots and images of celebrities without consent. Some bots made flirtatious advances, encouraged meet-ups, and generated photorealistic sexualised images.

The affected celebrities include Taylor Swift, Scarlett Johansson, Anne Hathaway, and Selena Gomez.

The probe also uncovered a chatbot of 16-year-old actor Walker Scobell producing inappropriate images, raising serious child safety concerns. Meta admitted policy enforcement failures and deleted around a dozen bots shortly before publishing the report.

A spokesperson acknowledged that intimate depictions of adult celebrities and any sexualised content involving minors should not have been generated.

Following the revelations, Meta announced new safeguards to protect teenagers, including restricting access to certain AI characters and retraining models to reduce inappropriate content.

California Attorney General Rob Bonta called exposing children to sexualised content ‘indefensible,’ and experts warned Meta could face legal challenges over intellectual property and publicity laws.

The case highlights broader concerns about AI safety and ethical boundaries. It also raises questions about regulatory oversight as social media platforms deploy tools that can create realistic deepfake content without proper guardrails.

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How local LLMs are changing AI access

As AI adoption rises, more users explore running large language models (LLMs) locally instead of relying on cloud providers.

Local deployment gives individuals control over data, reduces costs, and avoids limits imposed by AI-as-a-service companies. Users can now experiment with AI on their own hardware thanks to software and hardware capabilities.

Concerns over privacy and data sovereignty are driving interest. Many cloud AI services retain user data for years, even when privacy assurances are offered.

By running models locally, companies and hobbyists can ensure compliance with GDPR and maintain control over sensitive information while leveraging high-performance AI tools.

Hardware considerations like GPU memory and processing power are central to local LLM performance. Quantisation techniques allow models to run efficiently with reduced precision, enabling use on consumer-grade machines or enterprise hardware.

Software frameworks like llama.cpp, Jan, and LM Studio simplify deployment, making local AI accessible to non-engineers and professionals across industries.

Local models are suitable for personalised tasks, learning, coding assistance, and experimentation, although cloud models remain stronger for large-scale enterprise applications.

As tools and model quality improve, running AI on personal devices may become a standard alternative, giving users more control over cost, privacy, and performance.

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Salt Typhoon hack reveals fragility of global communications networks

The FBI has warned that Chinese hackers are exploiting structural weaknesses in global telecom infrastructure, following the Salt Typhoon incident that penetrated US networks on an unprecedented scale. Officials say the Beijing-linked group has compromised data from millions of Americans since 2019.

Unlike previous cyber campaigns focused narrowly on government targets, Salt Typhoon’s intrusions exposed how ordinary mobile users can be swept up in espionage. Call records, internet traffic, and even geolocation data were siphoned from carriers, with the operation spreading to more than 80 countries.

Investigators linked the campaign to three Chinese tech firms supplying products to intelligence agencies and China’s People’s Liberation Army. Experts warn that the attacks demonstrate the fragility of cross-border telecom systems, where a single compromised provider can expose entire networks.

US and allied agencies have urged providers to harden defences with encryption and stricter monitoring. Analysts caution that global telecoms will continue to be fertile ground for state-backed groups without structural reforms.

The revelations have intensified geopolitical tensions, with the FBI describing Salt Typhoon as one of the most reckless and far-reaching espionage operations ever detected.

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