Cybersecurity News and Magazine

8.8 Million People Affected in Major Denmark Data Breach

Samiksha Jain — Tue, 06 Oct 2026 05:50:16 +0000

The Denmark data breach has exposed the names, addresses and CPR numbers of approximately 8.8 million people after unauthorized users exploited a Danish company's legitimate access to the country's Central Person Register (CPR), according to the Danish government. The CPR administration became aware of irregular behavior in the system on October 2, after identifying activity that had occurred during September. An investigation found that unauthorized individuals had used a private Danish company's legal access to search the CPR system and obtain information on millions of registered people. The CPR currently contains information on approximately 11 million registered people, including those who are living in Denmark, people who have moved abroad and deceased individuals.

Denmark Data Breach Involved Legitimate CPR Access

The Denmark data breach did not result from unauthorized access being granted directly to the attackers. Instead, unauthorized users abused a private company's legitimate access to the CPR system. Under Section 38 of Denmark's Civil Registration Act, private companies with a legitimate interest can receive information from the CPR about specific groups of people they have individually identified in advance. Companies must also be entitled to receive the information under the General Data Protection Regulation and Denmark's Data Protection Act. The investigation found that unauthorized individuals used this legitimate access to retrieve information from the register. The exposed information includes names, addresses and CPR numbers, which serve as personal identification numbers in Denmark. The CPR administration said the unauthorized access did not include the names and addresses of people who had registered for name and address protection.

Investigation Into CPR Data Breach Continues

The CPR administration has stopped the company's access to the system and is working with specialists and relevant authorities to establish how the incident occurred. The case has been reported to the Danish Data Protection Authority, while police are investigating in cooperation with other relevant authorities. Authorities said the investigation remains in its early stages, and it is not yet possible to identify who was responsible for the unauthorized access. The CPR administration also warned that further investigation could lead to changes or clarification of the information currently available about the incident. Denmark's Minister of Research, Education and Digitalisation Christina Egelund described the incident as serious and said a thorough security review of the CPR system would be conducted. Additional measures have also been launched to prevent similar incidents.

What the Denmark Data Breach Means for Citizens

Authorities have reminded citizens not to provide passwords or other confidential information during phone calls or email exchanges, even when the person making contact appears to know their name, address or CPR number. Guidance is available through Denmark's Sikker Digital service, while the Cyberhotline for digital security has extended its opening hours from 8 a.m. to midnight in the coming days. The incident also highlights the risks associated with legitimate access to sensitive databases. In this case, the access used to obtain the information was originally available to a private company under Denmark's existing rules for accessing CPR data.

Cybersecurity Awareness Month Puts Data Protection in Focus

The Denmark data breach comes during October's Cybersecurity Awareness Month, a period focused on improving awareness of digital security risks. The incident highlights why protecting access to sensitive personal information remains an important part of cybersecurity. For organizations handling large volumes of personal data, the case also shows the importance of monitoring legitimate access and identifying unusual activity. However, Danish authorities have stressed that the investigation is still underway and that the full circumstances of the incident have yet to be established.

Wikimedia Finds Unauthorized OpenAI Agent Activity Across Its Platforms

Samiksha Jain — Tue, 06 Oct 2026 05:15:56 +0000

OpenAI rogue AI agents carried out unauthorized activity across Wikimedia platforms, including wiki edits, attempts to use a public note-taking service as a proxy and millions of automated requests, according to an investigation by the Wikimedia Foundation. The Foundation said it identified activity it believes was conducted by agents operated by OpenAI after investigating reports that so-called “rogue” AI agents had attempted to break into websites and online services. Wikimedia said it found no evidence that its systems or data were compromised or that its platforms were used to coordinate agents. However, the investigation identified several forms of unauthorized activity involving AI agents.

OpenAI Rogue AI Agents Made Unauthorized Wiki Edits

Wikimedia identified edits that it believes came from OpenAI rogue AI agents. Almost all of the edits were made in wiki sandbox areas and were not published on pages visible to general readers. The activity also included several edits involving the configuration of a citation tool. Wikimedia said these edits appeared potentially malicious and may have been intended to misuse the tool as a proxy for fetching data from remote services. Wikipedia allows bots to make edits when they are disclosed and approved by community editors. Wikimedia said no such approvals were sought in these incidents. The Foundation said its investigation did not find evidence that the edits resulted in a compromise of Wikimedia systems or data.

Etherpad Attempts and Agent Activity

Wikimedia also found unsuccessful attempts involving Etherpad, a public note-taking tool operated by the Foundation as a community service. According to Wikimedia, agents believed to be operated by OpenAI attempted to use Etherpad to fetch data from other websites as a proxy. Other agents also appeared to use the service to take notes about their tasks, although Wikimedia said this did not appear to develop into coordination. The findings come amid reports of AI agents using public websites and online services in unintended ways. Wikimedia said OpenAI agents have previously been observed using public platforms as communication channels. In one previously reported incident, agents repurposed a wiki website as a message board to exchange information about how to circumvent evaluation tasks. Similar behavior was reported in the Hugging Face incident, where agents used an OpenAI file-sharing service to coordinate activity during a cybersecurity assessment.

Millions of Requests Hit Wikimedia Infrastructure

The investigation also found significant automated traffic associated with agents believed to be operated by OpenAI. Wikimedia said the agents made millions of automated requests to its public APIs, crawled millions of pages, primarily from Wikidata and Wikimedia Commons, and generated hundreds of thousands of queries to the Wikidata Query Service. The Foundation said the traffic may have contributed to a partial outage affecting the Wikidata Query Service in May. The scale of the activity adds to existing concerns over automated traffic on Wikimedia projects. The Foundation previously reported that bandwidth usage had increased by 50% because of increased bot activity since 2024, while 65% of the most resource-consuming traffic on its projects was coming from bots.

OpenAI Calls Wiki Incident a Misalignment Issue

OpenAI confirmed the incident after Reuters first reported it. The company described the “wiki incident” as an example of misalignment, referring to situations where an AI system does not follow human intentions. OpenAI also argued that the AI industry does not have a common standard for disclosing incidents involving models behaving in unintended ways. The company denied claims that its lawyers had pressured employees to keep the incident quiet. Wikimedia said the incident highlights the growing challenges created by AI agents operating across open online services. The Foundation said it found no evidence that its platforms were used for agent coordination, but warned that the activity placed additional pressure on infrastructure maintained for public use. OpenAI CEO Sam Altman also said in a Monday interview with Politico that society should accept some negative consequences in exchange for the benefits of AI technology. [caption id="attachment_114596" align="aligncenter" width="600"] Image Source: X[/caption]

The Wikimedia investigation adds to recent reports of AI agents interacting with public websites and online services in unintended ways. The Foundation said such activity can create challenges for website operators, particularly when agents generate large volumes of automated traffic or attempt to use public services for purposes beyond their intended function.

Trust at Machine Speed: Securing the New Cyber Order in the Age of Agentic AI

Editorial — Mon, 05 Oct 2026 12:07:37 +0000

Authored By Salleh Kodri, Regional Director, Solutions Engineering, ASEAN, Cyble

For the last decade, cybersecurity has spent a lot of energy trying to solve a visibility problem. We wanted more logs. More telemetry. More threat intelligence. More detection rules. More dashboards. And to be fair, we got them. Today, many organisations have SIEM, EDR, NDR, attack surface management, identity security, vulnerability management, cloud security and multiple threat intelligence sources. The average SOC can probably see more of its environment than at any point in the past. Yet incidents still happen where, afterwards, somebody inevitably asks: "Did we already have the indicators?" Quite often, the answer is yes. That tells me the next cybersecurity problem is not simply visibility. It is decision latency. Seeing something is one thing. Understanding what it means, deciding what matters and taking the right action before the situation changes is something else entirely. And Agentic AI is about to make that gap much more obvious.

We Are Crossing a Speed Threshold

There is a lot of discussion right now about AI-powered cyberattacks. I think we need to be careful with the hype. AI does not suddenly make every traditional attack technique obsolete, nor does it mean tomorrow's attacker will be an entirely autonomous machine. The more immediate change is simpler. AI compresses time. Reconnaissance can become faster. Target discovery can become faster. Vulnerability analysis can become faster. Social engineering can become personalised at a scale that was previously difficult. Infrastructure can be analysed, changed and replaced faster. And increasingly, AI systems can help determine what to do next. Agentic systems take this one step further because they are designed around a loop:

Observe -> Reason -> Decide -> Execute -> Reassess

Potentially with less human involvement at every stage. So when I think about Agentic AI in cybersecurity, I do not start with the question, "How intelligent will the AI become?" I start with another question: What happens when the attacker can make decisions faster than the defender? That, to me, is the more immediate challenge.

The SOC Does Not Have an Alert Problem. It Has a Decision Problem

In conversations with security teams across ASEAN, I rarely hear anyone asking for fewer sources of security data. They already have plenty. The problem is making sense of all of it quickly enough. Imagine an incident where an organisation detects suspicious authentication activity. The identity platform sees one piece. The endpoint platform sees another. Threat intelligence knows something about the IP address. Attack surface management identifies an exposed service. The vulnerability platform knows there is a weakness on that asset. Digital risk monitoring may already have discovered credentials belonging to the same employee somewhere outside the organisation. Every tool may technically be doing its job. But somebody still has to connect the dots. Is this actually malicious? Is the account privileged? Is the asset internet-facing? Is the vulnerability exploitable? Are the credentials genuine? Has the infrastructure been associated with a known threat actor? Should we isolate the endpoint? Should we disable the account? What happens to the business if we do? This is why I believe cybersecurity increasingly suffers from decision latency. For years, security architecture has been optimised heavily around detection latency. How quickly can I see something? Now the question has to become: How quickly can I understand enough of the situation to make the right decision? If five security systems generate five different pieces of the same attack, but an analyst has to manually correlate them before anybody understands the risk, we are still operating at human speed. That becomes a bigger problem when the attacker is not.

Threat Intelligence Has to Move Closer to Action

I have spent a significant part of my career working around threat intelligence, and one thing I believe strongly is that intelligence has to change a decision. Otherwise, it risks becoming another source of information. Traditionally, threat intelligence has often followed a model like this:

Collect -> Analyse -> Report -> Distribute

There is still an important place for that, especially for strategic intelligence. But operational security requires something closer to:

Detect -> Enrich -> Correlate -> Understand -> Decide -> Act

Take something as simple as a leaked credential. A username and password belonging to an employee appears in an underground marketplace. On its own, that is intelligence. Useful, but incomplete. Now imagine immediately correlating that information with the person's identity, privilege level, external applications, exposed infrastructure, endpoint activity, known vulnerabilities, suspicious infrastructure and current adversary behaviour. The question is no longer: "Did we find a leaked credential?" It becomes: "Does this credential create a credible path into something important, and do we need to act now?" That is a very different security outcome. And this is where I see the real potential of AI in the SOC. Not another AI assistant creating another summary. Not another chatbot sitting on top of another dashboard. AI should reduce the distance between intelligence and action.

ASEAN Has its Own Reality

This conversation becomes particularly interesting when viewed from ASEAN. One thing I have learned working across the region is that there really is no single "ASEAN cybersecurity maturity level." Singapore is different from Malaysia. Malaysia is different from Indonesia. Indonesia is different from Thailand or the Philippines. And even within each country, a major bank, a government agency, a telecommunications provider, a manufacturing company and a mid-sized enterprise can have completely different levels of cybersecurity maturity. Some organisations have mature SOC operations with substantial automation. Others are still strengthening basic identity security, vulnerability management, endpoint visibility and incident response. Yet they may ultimately face the same AI-assisted adversaries. That creates an uncomfortable reality: ASEAN may face machine-speed threats while many organisations are still operating human-speed security processes. We cannot solve that simply by telling everyone to hire more SOC analysts. The talent challenge is already real. Instead, I see AI becoming a force multiplier for analysts - handling repetitive enrichment, correlation, evidence collection and initial investigation so people can spend more time on the decisions where judgement actually matters. But this does not mean automating everything. In fact, the more powerful our automation becomes, the more careful we need to be.

Where AI Should Not Act Matters Too

This is particularly important for critical infrastructure. ASEAN economies depend heavily on energy, manufacturing, transportation, telecommunications and other essential services. Many of those environments include operational technology and legacy systems where the consequences of getting an automated decision wrong can be very different from traditional IT. Automatically isolating an employee laptop suspected of compromise is one thing. Automatically interfering with a production environment, operational control system or critical service is another. The cybersecurity decision may be technically correct and operationally disastrous. That is why I keep coming back to this principle: The faster AI can act, the more important it becomes to understand where it should not act. Context matters. Business impact matters. Safety matters. Authority matters. That is also why I do not believe the future SOC is simply an autonomous SOC. It has to be a governed autonomous SOC.

Agentic AI Needs a Trust Architecture

It would be dangerous to interpret Agentic AI as simply giving an AI agent access to every security tool and saying, "Go and defend us." Trust has to be engineered into the architecture. I think about this in three practical levels. Observe. Let the AI collect information, correlate events, investigate and build context. Humans retain the decision authority. Assist. Let the AI recommend an action, prepare the workflow and present the evidence. Humans approve significant actions. Act. Allow the AI to execute predefined actions automatically - but only within clearly established policies, authority boundaries and confidence thresholds. Most organisations will probably use all three at the same time. A low-risk containment action might be automated. Disabling a privileged identity may require approval. Taking action against a production system should probably have an even higher threshold. The technology is actually the easier part. The harder questions are governance questions. What agent is acting? What authority does it have? What evidence informed the decision? What is it prohibited from doing? When must it stop? When must a human become involved? And afterwards, can we explain exactly what happened and why? Autonomy without accountability is not resilience. It is another form of risk.

'Human in the Loop' is Not Enough

I also think we need to challenge one phrase that gets used constantly in AI discussions: Human in the loop. It sounds safe. But what does it actually mean? If an AI system generates 50 recommendations during an attack and every one of them requires an analyst to click "Approve," technically we still have a human in the loop. We have also recreated the bottleneck we were trying to remove. The better model may increasingly be human on the loop rather than human in every loop. Humans establish the rules. Humans define the authority. Humans establish thresholds, escalation conditions, prohibited actions and risk appetite. Machines operate inside those boundaries. And when the uncertainty, context or consequence exceeds those boundaries, the system escalates to a person. Machine-speed defence does not require removing humans from cybersecurity. It requires being far more precise about which decisions actually need a human.

The SOC Needs to Become a Decision System

This changes how I think about the future SOC. The traditional SOC workflow is roughly:

Alert -> Queue -> Analyst -> Investigation -> Response

The emerging model looks more like:

Signal -> Intelligence -> Context -> AI reasoning -> Decision -> Controlled action

That does not make the analyst less important. I think it makes good analysts more important. They should spend less time copying indicators between systems and more time understanding adversary behaviour, investigating complex incidents, assessing business impact, making judgement calls and defining how autonomous systems should operate. AI should automate the work around the analyst, not automate away the analyst's judgement. Because ultimately cybersecurity decisions are rarely purely technical. Blocking something can interrupt a business process. Disabling an identity affects a person. Taking a system offline can affect customers. Changing something in operational technology can create physical consequences. That context is what separates security automation from responsible security automation.

ASEAN can Leapfrog

There is also an opportunity here for ASEAN. We do not necessarily have to replicate every generation of security architecture built elsewhere. Some organisations in the region may be able to move directly from fragmented security operations toward more integrated, intelligence-driven models. But we cannot assume AI will compensate for weak foundations. Identity still matters. Asset visibility still matters. Security hygiene still matters. Threat intelligence still matters. Incident response still matters. And regional collaboration increasingly matters. As our economies become more connected, cyber risk does not respect national boundaries. A compromised supplier in one ASEAN country can affect customers in another. A threat actor targeting financial institutions may operate across several markets simultaneously. Infrastructure, cloud platforms and digital ecosystems increasingly cross borders. That means strengthening ASEAN's cyber resilience will require more than technology. It will require information sharing, public-private cooperation, critical infrastructure resilience, cross-border incident coordination, talent development and sensible AI governance. This is why the conversation taking place around Singapore International Cyber Week and GovWare is timely. SICW's discussion around shaping the new cyber order, and GovWare's focus on cyber at agentic velocity, are ultimately asking variations of the same question: How do we move faster without losing control?

Trust Becomes the Control Plane

I do not think the next cybersecurity race is simply going to be: AI attacker versus AI defender. That is too simplistic. The real advantage will belong to whichever side can understand what is happening, make the right decision and act faster. But for defenders, there is an additional requirement. We must do it without losing control of the decision itself. Speed will become a security capability. Intelligence will provide context. AI will provide scale. But trust must determine what happens next. As cybersecurity moves closer to machine speed, our security architecture will have to move with it. That does not mean every decision should become autonomous. And faster certainly does not automatically mean safer. The organisations that get this right will be the ones that combine machine-speed intelligence, machine-assisted decision-making and human accountability. For me, the formula is relatively straightforward:

INTELLIGENCE + CONTEXT + AI + GOVERNANCE -> TRUSTED ACTION

Everything before the arrow helps us move faster. Everything around it determines whether we should trust the outcome. And that is ultimately what trust at machine speed has to mean.

Google Suspends Open Source Bug Bounty Over AI-Generated Reports

Ashish Khaitan — Mon, 05 Oct 2026 08:54:43 +0000

Google has suspended its Open Source Software Vulnerability Rewards Program (OSS VRP), a vulnerability search initiative that paid researchers for finding flaws in the company's open-source software. The pause took effect on October 1, 2026. Google blamed a "significant rise" in automated and AI-generated reports, most of which turned out to be invalid. Google announced the suspension in posts on X and on the program's website. It said it would provide "an update" in the first quarter of 2027. According to Tom's Hardware, Google engineers and open-source maintainers had been overwhelmed by reports that were invalid or contained hallucinations.

Why Google Halted OSS VRP

"This pause is due to a significant rise in automated submissions, the vast majority of which are not valid," the company said. In the meantime, Google is encouraging participants to look at its other bug bounty programs. As of October 1, 2026, the OSS VRP no longer accepts product vulnerability reports. Some reports involving Google Cloud repositories that affect Cloud products may still be accepted through the Cloud VRP. Flaws in open-source projects closely tied to Cloud or AI products can go to the Cloud VRP or the AI VRP. Researchers can also turn to the Patch Rewards Program, which pays for security improvements to Google's open-source projects. Reports submitted before October 1 are not affected. Product vulnerabilities previously covered flaws that substantially affected the confidentiality or integrity of user data. Examples included memory corruption in file format parsers or network protocols, sanitizer failures, path traversal, and insecure defaults or code examples in documentation. For OT0 and OT1 repositories, memory corruption reports required exact OSS-Fuzz reproduction steps or an already merged patch. Non-memory corruption reports did not need a patch. Google also urged researchers to build OSS-Fuzz integrations for important projects that lacked them before reporting.

How Project Tiers Shape Vulnerability Search Rewards

Repositories fall into four tiers:

Flagship (OT0) projects are the most sensitive and carry the highest payouts.
Important (OT1) projects have significant community impact or security criticality. Both OT0 and OT1 are listed at github.com/google/bughunters.
Standard (OT2) covers active repositories with stable packages on registries such as npm or PyPI. There is no published list for this tier.
Low-priority (OT3) includes experimental, sample, research, and archived projects. These earn no financial rewards.

Supply chain compromises pay $3,133.7 to $31,337 for OT0, $1,337 to $13,337 for OT1, and $500 to $3,133.7 for OT2. Other security issues, such as leaked write-access credentials or weak passwords on third-party CI systems, earn $1,000 for OT0 and $500 for OT1. OT2 and OT3 projects receive nothing for product vulnerabilities or other security issues. A reward panel sets final amounts based on security impact alone. It may pay more for clever or wide-reaching bugs and less for those that depend on hypothetical flaws. It typically pays once per root cause, though bonuses of about $1,000 are possible for especially clever findings or well-written reports. Researchers can donate their rewards to charity. Rewards left unclaimed after 12 months go to a charity of Google's choosing. Several categories are excluded:

Issues rooted in downstream integration
Typosquatting without proof that build artifacts were compromised
Insecure installation instructions
Social engineering
Bugs with negligible impact

Google also asks researchers to avoid DoS attacks, black hat SEO, spam, and high-traffic automated testing tools. Reports go through Google's vulnerability form and should include a buildable proof of concept, the affected versions, an impact description, and an attack scenario.

Nikkei Cyberattack Hijacks Employee Accounts, Sends 9,000 Spoofed Emails

Ashish Khaitan — Mon, 05 Oct 2026 07:45:43 +0000

Nihon Keizai Shimbun disclosed on October 4 that a Nikkei cyberattack had compromised employees' Microsoft 365 business software accounts. Attackers then used those accounts to send roughly 9,000 spoofed emails to people inside and outside the company. The publisher also revealed a second, separate breach: a cloud service it uses had been accessed without authorization since late July, possibly exposing the personal information of 1,646 employees and business partners. In a statement, the company said: "We deeply apologize for the inconvenience and concern caused to all those affected. We ask everyone to remain vigilant against suspicious emails while we continue our investigation. We take this incident seriously and will further strengthen our security measures to ensure thorough information management."

How the Nikkei Cyberattack Unfolded?

A third party gained unauthorized access to the Microsoft 365 accounts that employees use for email and other work functions. On September 30, the attackers used the hijacked accounts to send about 9,000 emails containing links to malicious websites. The recipients included Nikkei staff as well as numerous external sources and contacts who had previously corresponded with employees. Because the messages came from Nikkei's genuine accounts, the sender address alone gave recipients little reason for suspicion. The attack is believed to have exposed recipients' names and email addresses, along with the content of some messages. Nikkei has since changed the affected passwords and says it has detected no further unauthorized logins. It has contacted each recipient individually and asked them to delete the emails.

Google Workspace Breach Dates Back to July

In a separate incident, outsiders also logged in to the Google Workspace cloud accounts that employees use for work. Since late July, names, email addresses and other information belonging to 1,646 people may have leaked. Nikkei learned of the problem in early August, when Google notified the company. According to Nikkei, the leaked data did not include information on readers or sources, and no secondary damage has been confirmed. The incidents unfolded in this order:

Late July 2026: Unauthorized access to Google Workspace begins.
Early August 2026: Nikkei discovers the access after Google notifies it.
September 30, 2026: Attackers hijack Microsoft 365 accounts and send about 9,000 spoofed emails.
October 4, 2026: Nikkei announces the incidents publicly and reports them to the Personal Information Protection Commission.

Nikkei Cyberattack Reported to Regulator

Nikkei has reported both incidents to Japan's Personal Information Protection Commission. Under the Act on the Protection of Personal Information, organizations must report to the Commission and notify affected individuals when a breach caused by unauthorized access could harm people's rights and interests. Breaches affecting more than 1,000 people are also subject to mandatory reporting. A preliminary report is due within roughly three to five days of discovery. A final report is due within 30 days, or within 60 days if the breach was carried out for malicious purposes. Nikkei is still investigating the full scope of the breach and the number of personal records involved. The company warned that spoofed emails posing as Nikkei or group company staff may increase. It asked anyone who receives a suspicious message to contact it through its inquiry form.

South Korea’s Shinhan Bank Hack Exposes Data of 25,000 Customers

Samiksha Jain — Mon, 05 Oct 2026 06:55:50 +0000

The Shinhan Bank cyberattack has exposed personal and financial information belonging to about 25,000 customers in South Korea, with investigators examining whether advanced artificial intelligence tools were used to carry out the intrusion. The leaked information reportedly includes customers’ names, phone numbers, loan borrowing details and annual income. South Korea’s Financial Supervisory Service has launched an emergency on-site inspection as authorities investigate how the breach occurred and whether the suspected use of AI points to a wider risk for financial institutions.

Shinhan Bank Cyberattack Under Investigation

Shinhan Bank said the information was leaked on Wednesday after hackers gained access to its systems. The bank immediately formed a response team and took measures aimed at limiting further damage. These measures included blocking access from external IP addresses and suspending the affected services. The bank said it had completed safety measures related to the incident. Sources cited in the reports said the attackers are suspected to be based overseas and may have used advanced AI tools during the attack. Experts said the bank may not have been specifically targeted, but could instead have been caught in attacks against vulnerable online platforms. The Financial Supervisory Service sent a team to the bank to examine the incident. Its investigation is expected to take months as officials determine the nature and extent of the data exposure.

AI Agent-Assisted Attacks Raise Concern

The suspected use of AI has added another concern to the Shinhan Bank breach. Cybersecurity experts said AI tools originally developed or shared for defensive purposes can also be adapted for malicious activity. Mun Chong-hyun, director at cybersecurity firm Genians, said several recent attacks in South Korea have involved such AI tools. He described the technology as a double-edged sword because capabilities created for cybersecurity can also be used to facilitate cybercrime. The concern is not limited to Shinhan Bank. An industry official said the wider financial sector could be exposed to AI agent-assisted attacks, and that financial institutions should conduct their own security checks to identify potential weaknesses and abnormal access attempts. The incident also highlights the type of information that can be exposed in attacks against banks. Unlike a breach involving only basic contact information, the Shinhan incident reportedly exposed both personal details and financial information.

South Korean Banks Face More Data Breaches

The Shinhan Bank cyberattack comes amid several recent incidents affecting South Korean lenders. KB Kookmin Bank said last Friday that personal information belonging to 119 customers had been leaked following an external intrusion. Hana Bank also reported a separate hack affecting 89 customers. South Korea’s Financial Services Commission has already held a meeting with local banks over the recent breaches and is expected to hold another meeting this week. The latest incidents have raised concerns about how AI-powered hacking could affect the financial sector, particularly if attackers can use automated tools to identify vulnerable systems or support attacks at greater scale. The Shinhan incident is relatively small compared with some of South Korea’s largest data breaches in terms of the number of affected people. However, the combination of personal and financial information makes the breach significant. Sungho Hwang, Korea country manager at NordVPN, said the exposed information could be used to create personalized scams. He also noted that generative AI has made such scams more convincing.

South Korea Faces Wider Cybersecurity Pressure

The banking incidents come as South Korea cyberattacks have increased across other sectors. Cyberattacks targeting South Korean military systems reached 18,951 cases in 2025, the highest annual figure in five years. The number was up 31 percent from 2024 and 108 percent from 2022. South Korea has also expanded its use of AI for defensive cybersecurity. The Ministry of Education and the Korea Education and Research Information Service operate an AI-based system designed to detect suspicious activity and issue automated alerts across 435 monitored institutions. In 2025, the system detected about 480 million potential cyber threat indicators, of which around 86,000 were confirmed as actual intrusions. As the investigation into the Shinhan Bank breach continues, the suspected role of AI is adding to concerns that financial institutions may need to account for increasingly automated forms of cyberattacks.

Japan Plans Major Cyber Hunt to Detect Hidden Attacks on Critical Infrastructure

Samiksha Jain — Mon, 05 Oct 2026 06:02:42 +0000

Japan is stepping up its plans to find cyber attackers who may already be inside the networks that keep essential services running. Under a new fiscal 2027 initiative, the government plans to work with private companies to strengthen Japan threat hunting across critical infrastructure, including power utilities and telecommunications operators. The focus is not only on stopping attacks after they are detected, but on finding signs that an attacker has gained access and is quietly moving through a system without triggering an alert. The government will develop ways to detect these threats and share the methods with private-sector operators, while the Defense Ministry will be able to provide personnel to assist companies when requested.

Japan Threat Hunting to Target Hidden Cyber Threats

The initiative forms part of Japan’s broader active cyber defense efforts. Threat hunting involves actively searching systems for signs of malicious activity rather than waiting for an alert or confirmed attack. Japan’s National Cybersecurity Office plans to use information about potential threats to recreate attack scenarios in a virtual environment. The office will then develop and test detection methods that can be used by private-sector companies. The aim is to help critical infrastructure operators identify attackers that may have already entered their systems and remained undetected. Detecting such activity could also help reduce the risk of a cyberattack disrupting essential services during an emergency. Legislation related to active cyber defense took effect on Thursday, giving the government a framework for expanding these cybersecurity measures.

Defense Ministry to Assist Critical Infrastructure Operators

Japan’s Defense Ministry is also preparing to provide direct support to operators of critical infrastructure. Companies will be able to request assistance, after which the ministry could dispatch personnel with threat-hunting experience developed through the information systems of Japan’s Self-Defense Forces. The National Cybersecurity Office and Defense Ministry have included the related costs in their fiscal 2027 budget requests. Threat hunting can require considerable resources because security teams need to collect and examine large amounts of system event logs. The purpose is to identify unusual activity that may otherwise go unnoticed. NTT Data Japan has been carrying out proactive threat hunting on its own systems since 2024. The company checks system logs for suspicious activity even when there has been no security alert. A representative of the National Cybersecurity Office also said threat-hunting methods could help address ransomware. Such attacks can involve attackers exploring a victim’s systems after gaining initial access, meaning suspicious activity may exist before the ransomware itself is deployed.

Recent Cyberattacks Add to Japan’s Concerns

Japan’s planned expansion of threat hunting comes as cyber incidents have affected government networks and companies across different sectors. In September 2026, the government disclosed that its common infrastructure network had been targeted in a cyberattack that began in May. Digital Minister Hisashi Matsumoto said about 246,000 personal records could have been leaked. The affected Government Solution Service, or GSS, is used by government agencies and independent administrative agencies. The potentially exposed information included about 189,000 employee records and around 57,000 records belonging to businesses and individuals involved in agency operations. An analysis found that a third party had compromised the system by exploiting a bypass involving a virtual private network, or VPN. Other recent incidents have affected private-sector operations. The Nichirei cyberattack in July disrupted food deliveries after the frozen food and logistics company confirmed unauthorized access to its servers. The incident affected logistics operations supporting KFC Japan. Nihon Kotsu also recently reported a malware-related incident that disrupted taxi dispatch services after parts of its IT infrastructure were taken offline. Earlier incidents involving Aflac Japan, KDDI, Sapporo Holdings and Nidec showed that attackers could gain access through subsidiaries, overseas operations or third-party infrastructure. Japan’s fiscal 2027 plans therefore put greater emphasis on looking for attackers that may already be inside a network, rather than relying only on alerts after suspicious activity has become visible.

The Cyber Express Weekly Roundup: Renfe Confirms Breach, Australia Warns of Hijacked AI Keys, and Europol Sounds the Alarm on AI-Driven Crime

Ashish Khaitan — Thu, 01 Oct 2026 11:29:13 +0000

This weekly roundup covers a customer data breach at Spain's national rail operator, an Australian government warning about attackers hijacking corporate AI services, a patient data theft from a Polish medical software platform, phishing campaigns that turn legitimate remote management tools against their victims, and a gathering of Europe's police leaders focused on how AI is reshaping crime. Two threads run through this week's stories. Artificial intelligence is now both a target and a tool for attackers: stolen API keys are draining company budgets, and AI is reportedly being used in intrusions. Meanwhile, attackers keep exploiting trusted software, from a medical records platform to legitimate IT administration tools, to stay hidden for days or weeks.

The Cyber Express Weekly Roundup

Renfe Confirms Data Breach Through Compromised Adif Servers

Spanish rail operator Renfe confirmed on September 25 that hackers had accessed customer names and email addresses. The intrusion came through compromised servers belonging to Adif, the state-owned manager of Spain's rail infrastructure. Renfe said no financial data was exposed and train services were not disrupted. Read more…

Australia Warns of Stolen AI Keys as Hijacked Access Costs Firms Up to $600,000

The Australian Signals Directorate (ASD) has warned that attackers are taking over organizations' AI services. They get in through exposed API keys, stolen sessions, and compromised suppliers. Once inside, they burn through paid credits and generate harmful content. Where AI agents are deployed, they also use that access to reach connected systems and data. Read more…

Polish Patient Data Stolen in Cyberattack on Medyc Medical Software

Attackers exploited an SQL injection vulnerability in Medyc, a medical records platform developed by Polish vendor Qbusoft, on August 22–23. They stole patient names, PESEL national identification numbers, addresses, phone numbers, and email addresses going back to July 2024. The breach went unnoticed until September 8–9, more than two weeks later. Read more…

Phishing Campaigns Abuse MSP360 Remote Management Tool to Install ScreenConnect

Microsoft has tracked phishing campaigns that tricked victims across several industries into installing MSP360, a legitimate remote management tool. The installers were disguised as Zoom downloads, Adobe updates, invitations, and delivery notices. After gaining a foothold, the attackers installed ConnectWise ScreenConnect as a backup access channel. Read more…

Europe's Police Chiefs Warn AI Is Making Crime Faster and Larger in Scale

More than 500 police leaders from 59 countries gathered at Europol's headquarters from September 28 to 30 to discuss how AI is changing crime. Europol warned that criminals are using generative AI, deepfakes, and autonomous agents to expand fraud, cybercrime, migrant smuggling, and child exploitation. It also pointed to AI's potential to speed up police investigations. Read more…

Weekly Cybersecurity Takeaway

Artificial intelligence features in several of this week's stories, in different roles. In Australia, AI services are the target: attackers hijack them to steal paid credits and to reach connected systems through AI agents. At Europol's gathering, police leaders described AI as a force multiplier that lets criminal groups run fraud and exploitation at greater speed and scale. In the Renfe case, AI was reportedly used in the attack, though that remains unconfirmed. The other common thread is how attackers abuse what organizations already trust. In Poland, an injection flaw in widely used medical software exposed sensitive patient identifiers and went undetected for more than two weeks. Microsoft's findings show attackers installing two legitimate remote management tools so their activity looks like ordinary IT work. The Renfe breach, which reached customers through a partner organization's servers, is a reminder that an organization's exposure extends to its suppliers and infrastructure partners. Together, these developments call for practical steps. Organizations should treat AI credentials as carefully as any other privileged secret. They should watch for unexpected remote access software even when it is legitimate, and they should hold the vendors who handle their data to the same security standards they apply internally.

Europe’s Police Chiefs Face Growing Threat of AI-Driven Crime

Samiksha Jain — Thu, 01 Oct 2026 09:01:53 +0000

More than 500 police chiefs and law enforcement delegates from 59 countries gathered for the European Police Chiefs Convention 2026 to address how artificial intelligence is changing crime and creating new challenges for law enforcement. Held at Europol’s headquarters from September 28 to 30, the convention focused on AI, cybercrime, lawful access to data, disinformation, radicalisation and international cooperation. The event brought together representatives from 15 international organisations, including INTERPOL and the World Customs Organization. Europol Acting Executive Director Jürgen Ebner said organised crime has become increasingly digital and called for stronger national capabilities supported by shared European capabilities.

European Police Chiefs Convention 2026 Tackles AI-Driven Crime

A major focus of the European Police Chiefs Convention 2026 was AI in law enforcement and the changing role of artificial intelligence in criminal activity. According to Europol, criminals are using generative AI, deepfakes and autonomous agents to increase the scale and speed of their operations. These technologies are being misused in fraud, cybercrime, migrant smuggling and child exploitation. The convention also highlighted the potential benefits of AI for police agencies. Law enforcement can use the technology for faster data analysis, forensic investigations and intelligence gathering. However, participants said stronger international cooperation, investment in AI capabilities and regulatory frameworks will be needed as law enforcement agencies adopt the technology. [caption id="attachment_114531" align="aligncenter" width="600"] Image Source: Europol[/caption]

Deepfakes and AI Expand the Criminal Threat Landscape

The growing use of deepfakes was discussed as part of a broader shift in how criminals can use AI to support illicit activities. Europol said AI is amplifying criminal capabilities, with autonomous agents and generative AI allowing operations to be carried out at greater speed. The discussions placed these developments alongside existing concerns around online fraud and cybercrime. The convention did not frame AI only as a criminal threat. Law enforcement agencies are also looking at how the same technology can improve investigations and intelligence gathering. Henna Virkkunen, Executive Vice-President for Tech Sovereignty, Security, and Democracy at the European Commission, said the origin and control of technologies used for critical law enforcement capabilities are important considerations. She also highlighted the need to understand and reduce strategic dependencies affecting security infrastructure.

Lawful Access to Data Remains a Police Challenge

Another key topic was lawful access to data, alongside wider questions around information sharing and cross-border cooperation. Law enforcement representatives discussed how agencies can strengthen their ability to respond to increasingly digital criminal activity while working across jurisdictions. Wim Mijs, CEO of the European Banking Federation, also called for greater cooperation between banks, law enforcement, social media platforms and telecommunications companies to identify and stop online fraud before money is transferred. [caption id="attachment_114533" align="aligncenter" width="600"] Image Source: Europol[/caption] The discussions reflect the growing importance of cooperation between public authorities and private-sector organisations in responding to digitally enabled crime.

Radicalisation and Online Propaganda

The convention also examined the prevention of radicalisation, with law enforcement officials discussing online radicalisation, lone actors and changing forms of extremist activity. Europol said law enforcement faces challenges in identifying behavioural changes, dealing with encrypted communications and responding to rapidly changing propaganda. Algorithms and social isolation were also identified as factors that can amplify risks. Participants highlighted cross-border information sharing, community trust, platform accountability and early intervention as areas requiring attention.

Europol and Customs Agency Strengthen Cooperation

Police and customs representatives also discussed ways to disrupt cross-border criminal activity. Europol and the World Customs Organization signed a Joint Cooperation Action Plan for 2026–27 covering strategic analysis, information exchange and capacity building. The convention concluded with the presentation of the 2026 Europol Excellence Awards in Innovation. Law enforcement agencies from Spain, Denmark and the Netherlands received awards across three categories covering ethics, diversity and inclusion, innovative operations and technical solutions. The discussions at the European Police Chiefs Convention 2026 highlighted how law enforcement agencies are adapting to a threat environment increasingly shaped by digital technologies, AI and cross-border criminal activity.

Queensland Cybersecurity Department Loses $809,000 in Cyberattack

Ashish Khaitan — Thu, 01 Oct 2026 09:00:19 +0000

The Queensland government department in charge of the state's cybersecurity efforts has disclosed a loss of roughly $800,000 from a cyberattack during the last financial year. Details of the CDSB cyberattack, which involved a third-party messaging service being "misused" for financial gain, appear in the QLD cybersecurity department's latest annual report, released on Friday. The Customer Services, Open Data, and Small and Family Business department (CDSB) directs the Queensland government's cybersecurity strategy, governance, policy and investment. According to its annual report, the department lost $809,000 during the 2025-26 financial year as "a result of an external cyberattack for financial gain."

How the CDSB Cyberattack Unfolded?

The report said the breach did not reach sensitive records. No government data or sensitive information was compromised during the incident," it stated. "The department blocked the attack and engaged a third party to mitigate any further exposure." A CDSB spokesperson told Information Age that the attackers had not been paid. "In July 2025, a third-party messaging service used by the Queensland government was misused to generate an inflated number of unauthorised SMS messages for financial gain," the spokesperson said in a statement. "... Immediate steps were taken to contain and investigate the incident, and security controls have been further strengthened." The spokesperson added that the Queensland government "is committed to protecting the security and resilience of its systems and services."

Audit Found the QLD Cybersecurity Department 'Needs to Do More'

The incident follows a Queensland Audit Office report, released in March, which found that CDSB "needs to do more" to help the state's public sector manage third-party cybersecurity risks. Auditors found the QLD cybersecurity department was "not actively assessing and monitoring third-party cyber capability across the public sector," although improvements were in progress. "The Queensland government has been slow to develop a framework to help entities manage their third-party cybersecurity risks," the audit said. It noted that the Australian Signals Directorate (ASD), the federal cybersecurity agency, "has been raising these risks since 2021." During testing, auditors gained the "highest level of access" to two Queensland government entities. They did not name either entity, to "avoid publicly identifying any security vulnerabilities." CDSB addressed the audit in its annual report. "In our cybersecurity leadership role, we agreed to all relevant recommendations and progressed actions during the reporting period, including initiatives to strengthen whole‑of‑government cybersecurity capability," it said. The report described cybersecurity as something that "remains a daily discipline" for CDSB and the wider Queensland government. "Investing in, and securing Queensland's digital assets remains important, as cyber threats become more complex, and national incident data shows that malicious actors continue to target all sectors of the economy," it added.

Queensland Tops Cybercrime Reports

The CDSB cyberattack comes against a broader backdrop of cybercrime in the state. ASD's latest Annual Cyber Threat Report found that Queensland reported the highest share of Australia's cybercrime incidents in the 2024-25 financial year. Queensland accounted for 28 per cent of national cybercrime reports. Victoria followed with 26 per cent and New South Wales with 22 per cent. ASD found these figures were "disproportionately higher" than the three states' respective populations when compared with other jurisdictions. Average losses were highest elsewhere. "The Australian Capital Territory reported the highest average self-reported financial losses – around $37,700 per cybercrime report – followed by those in New South Wales, with around $33,000," the report said.