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Showing posts with label Data Privacy. Show all posts
Threat Intelligence
AI AI Tool Data Privacy Technology Threat Intelligence

AI and Privacy – Issues and Challenges

 

Artificial intelligence is changing cybersecurity and digital privacy. It promises better security but also raises concerns about ethical boundaries, data exploitation, and spying. From facial recognition software to predictive crime prevention, customers are left wondering where to draw the line between safety and overreach as AI-driven systems become more and more integrated into daily life.

The same artificial intelligence (AI) tools that aid in spotting online threats, optimising security procedures, and stopping fraud can also be used for intrusive data collecting, behavioural tracking, and mass spying. The use of AI-powered surveillance in corporate data mining, law enforcement profiling, and government tracking has drawn criticism in recent years. AI runs the potential of undermining rather than defending basic rights in the absence of clear regulations and transparency. 

AI and data ethics

Despite encouraging developments, there are numerous instances of AI-driven inventions going awry, which raise serious questions. A face recognition business called Clearview AI amassed one of the largest facial recognition databases in the world by illegally scraping billions of photos from social media. Clearview's technology was employed by governments and law enforcement organisations across the globe, leading to legal action and regulatory action about mass surveillance. 

The UK Department for Work and Pensions used an AI system to detect welfare fraud. An internal investigation suggested that the system disproportionately targeted people based on their age, handicap, marital status, and country. This prejudice resulted in certain groups being unfairly picked for fraud investigations, raising questions about discrimination and the ethical use of artificial intelligence in public services. Despite earlier guarantees of impartiality, the findings have fuelled calls for increased openness and supervision in government AI use. 

Regulations and consumer protection

The ethical use of AI is being regulated by governments worldwide, with a number of significant regulations having an immediate impact on consumers. The AI Act of the European Union, which is scheduled to go into force in 2025, divides AI applications into risk categories. 

Strict regulations will be applied to high-risk technology, like biometric surveillance and facial recognition, to guarantee transparency and moral deployment. The EU's commitment to responsible AI governance is further reinforced by the possibility of severe sanctions for non compliant companies. 

Individuals in the United States have more control over their personal data according to California's Consumer Privacy Act. Consumers have the right to know what information firms gather about them, to seek its erasure, and to opt out of data sales. This rule adds an important layer of privacy protection in an era where AI-powered data processing is becoming more common. 

The White House has recently introduced the AI Bill of Rights, a framework aimed at encouraging responsible AI practices. While not legally enforceable, it emphasises the need of privacy, transparency, and algorithmic fairness, pointing to a larger push for ethical AI development in policy making.
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Government surveillance
Cyber Security Data Privacy Digital Security Encryption End-to-End Encryption Government surveillance

Encryption Under Siege: A New Wave of Attacks Intensifies

 

Over the past decade, encrypted communication has become a standard for billions worldwide. Platforms like Signal, iMessage, and WhatsApp use default end-to-end encryption, ensuring user privacy. Despite widespread adoption, governments continue pushing for greater access, threatening encryption’s integrity.

Recently, authorities in the UK, France, and Sweden have introduced policies that could weaken encryption, adding to EU and Indian regulatory measures that challenge privacy. Meanwhile, US intelligence agencies, previously critical of encryption, now advocate for its use after major cybersecurity breaches. The shift follows an incident where the China-backed hacking group Salt Typhoon infiltrated US telecom networks. Simultaneously, the second Trump administration is expanding surveillance of undocumented migrants and reassessing intelligence-sharing agreements.

“The trend is bleak,” says Carmela Troncoso, privacy and cryptography researcher at the Max-Planck Institute for Security and Privacy. “New policies are emerging that undermine encryption.”

Law enforcement argues encryption obstructs criminal investigations, leading governments to demand backdoor access to encrypted platforms. Experts warn such access could be exploited by malicious actors, jeopardizing security. Apple, for example, recently withdrew its encrypted iCloud backup system from the UK after receiving a secret government order. The company’s compliance would require creating a backdoor, a move expected to be challenged in court on March 14. Similarly, Sweden is considering laws requiring messaging services like Signal and WhatsApp to retain message copies for law enforcement access, prompting Signal to threaten market exit.

“Some democracies are reverting to crude approaches to circumvent encryption,” says Callum Voge, director of governmental affairs at the Internet Society.

A growing concern is client-side scanning, a technology that scans messages on users’ devices before encryption. While presented as a compromise, experts argue it introduces vulnerabilities. The EU has debated its implementation for years, with some member states advocating stronger encryption while others push for increased surveillance. Apple abandoned a similar initiative after warning that scanning for one type of content could pave the way for mass surveillance.

“Europe is divided, with some countries strongly in favor of scanning and others strongly against it,” says Voge.

Another pressing threat is the potential banning of encrypted services. Russia blocked Signal in 2024, while India’s legal battle with WhatsApp could force the platform to abandon encryption or exit the market. The country has already prohibited multiple VPN services, further limiting digital privacy options.

Despite mounting threats, pro-encryption responses have emerged. The US Cybersecurity and Infrastructure Security Agency and the FBI have urged encrypted communication use following recent cybersecurity breaches. Sweden’s armed forces also endorse Signal for unclassified communications, recognizing its security benefits.

With the UK’s March 14 legal proceedings over Apple’s backdoor request approaching, US senators and privacy organizations are demanding greater transparency. UK civil rights groups are challenging the confidential nature of such surveillance orders.

“The UK government may have come for Apple today, but tomorrow it could be Google, Microsoft, or even your VPN provider,” warns Privacy International.

Encryption remains fundamental to human rights, safeguarding free speech, secure communication, and data privacy. “Encryption is crucial because it enables a full spectrum of human rights,” says Namrata Maheshwari of Access Now. “It supports privacy, freedom of expression, organization, and association.”

As governments push for greater surveillance, the fight for encryption and privacy continues, shaping the future of digital security worldwide.


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Privacy
Data Brokers Data collection Data Mining Data Privacy Data Removal data security Online Privacy Privacy

How Data Removal Services Protect Your Online Privacy from Brokers

 

Data removal services play a crucial role in safeguarding online privacy by helping individuals remove their personal information from data brokers and people-finding websites. Every time users browse the internet, enter personal details on websites, or use search engines, they leave behind a digital footprint. This data is often collected by aggregators and sold to third parties, including marketing firms, advertisers, and even organizations with malicious intent. With data collection becoming a billion-dollar industry, the need for effective data removal services has never been more urgent. 

Many people are unaware of how much information is available about them online. A simple Google search may reveal social media profiles, public records, and forum posts, but this is just the surface. Data brokers go even further, gathering information from browsing history, purchase records, loyalty programs, and public documents such as birth and marriage certificates. This data is then packaged and sold to interested buyers, creating a detailed digital profile of individuals without their explicit consent. 

Data removal services work by identifying where a person’s data is stored, sending removal requests to brokers, and ensuring that information is deleted from their records. These services automate the process, saving users the time and effort required to manually request data removal from hundreds of sources. Some of the most well-known data removal services include Incogni, Aura, Kanary, and DeleteMe. While each service may have a slightly different approach, they generally follow a similar process. Users provide their personal details, such as name, email, and address, to the data removal service. 

The service then scans databases of data brokers and people-finder sites to locate where personal information is being stored. Automated removal requests are sent to these brokers, requesting the deletion of personal data. While some brokers comply with these requests quickly, others may take longer or resist removal efforts. A reliable data removal service provides transparency about the process and expected timelines, ensuring users understand how their information is being handled. Data brokers profit immensely from selling personal data, with the industry estimated to be worth over $400 billion. 

Major players like Experian, Equifax, and Acxiom collect a wide range of information, including addresses, birth dates, family status, hobbies, occupations, and even social security numbers. People-finding services, such as BeenVerified and Truthfinder, operate similarly by aggregating publicly available data and making it easily accessible for a fee. Unfortunately, this information can also fall into the hands of bad actors who use it for identity theft, fraud, or online stalking. 

For individuals concerned about privacy, data removal services offer a proactive way to reclaim control over personal information. Journalists, victims of stalking or abuse, and professionals in sensitive industries particularly benefit from these services. However, in an age where data collection is a persistent and lucrative business, staying vigilant and using trusted privacy tools is essential for maintaining online anonymity.
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Privacy
AI Gaming AI Model AI Systems AI technology Data Privacy data security Data Technology Microsoft Privacy

Microsoft MUSE AI: Revolutionizing Game Development with WHAM and Ethical Challenges

 

Microsoft has developed MUSE, a cutting-edge AI model that is set to redefine how video games are created and experienced. This advanced system leverages artificial intelligence to generate realistic gameplay elements, making it easier for developers to design and refine virtual environments. By learning from vast amounts of gameplay data, MUSE can predict player actions, create immersive worlds, and enhance game mechanics in ways that were previously impossible. While this breakthrough technology offers significant advantages for game development, it also raises critical discussions around data security and ethical AI usage. 

One of MUSE’s most notable features is its ability to automate and accelerate game design. Developers can use the AI model to quickly prototype levels, test different gameplay mechanics, and generate realistic player interactions. This reduces the time and effort required for manual design while allowing for greater experimentation and creativity. By streamlining the development process, MUSE provides game studios—both large and small—the opportunity to push the boundaries of innovation. 

The AI system is built on an advanced framework that enables it to interpret and respond to player behaviors. By analyzing game environments and user inputs, MUSE can dynamically adjust in-game elements to create more engaging experiences. This could lead to more adaptive and personalized gaming, where the AI tailors challenges and story progression based on individual player styles. Such advancements have the potential to revolutionize game storytelling and interactivity. 

Despite its promising capabilities, the introduction of AI-generated gameplay also brings important concerns. The use of player data to train these models raises questions about privacy and transparency. Developers must establish clear guidelines on how data is collected and ensure that players have control over their information. Additionally, the increasing role of AI in game creation sparks discussions about the balance between human creativity and machine-generated content. 

While AI can enhance development, it is essential to preserve the artistic vision and originality that define gaming as a creative medium. Beyond gaming, the technology behind MUSE could extend into other industries, including education and simulation-based training. AI-generated environments can be used for virtual learning, professional skill development, and interactive storytelling in ways that go beyond traditional gaming applications. 

As AI continues to evolve, its role in shaping digital experiences will expand, making it crucial to address ethical considerations and responsible implementation. The future of AI-driven game development is still unfolding, but MUSE represents a major step forward. 

By offering new possibilities for creativity and efficiency, it has the potential to change how games are built and played. However, the industry must carefully navigate the challenges that come with AI’s growing influence, ensuring that technological progress aligns with ethical and artistic integrity.
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GDPR
AI governance AI Security AI technology CCPA Compliance Cyber Security Data Privacy data security GDPR

The Need for Unified Data Security, Compliance, and AI Governance

 

Businesses are increasingly dependent on data, yet many continue to rely on outdated security infrastructures and fragmented management approaches. These inefficiencies leave organizations vulnerable to cyber threats, compliance violations, and operational disruptions. Protecting data is no longer just about preventing breaches; it requires a fundamental shift in how security, compliance, and AI governance are integrated into enterprise strategies. A proactive and unified approach is now essential to mitigate evolving risks effectively. 

The rapid advancement of artificial intelligence has introduced new security challenges. AI-powered tools are transforming industries, but they also create vulnerabilities if not properly managed. Many organizations implement AI-driven applications without fully understanding their security implications. AI models require vast amounts of data, including sensitive information, making governance a critical priority. Without robust oversight, these models can inadvertently expose private data, operate without transparency, and pose compliance challenges as new regulations emerge. 

Businesses must ensure that AI security measures evolve in tandem with technological advancements to minimize risks. Regulatory requirements are also becoming increasingly complex. Governments worldwide are enforcing stricter data privacy laws, such as GDPR and CCPA, while also introducing new regulations specific to AI governance. Non-compliance can result in heavy financial penalties, reputational damage, and operational setbacks. Businesses can no longer treat compliance as an afterthought; instead, it must be an integral part of their data security strategy. Organizations must shift from reactive compliance measures to proactive frameworks that align with evolving regulatory expectations. 

Another significant challenge is the growing issue of data sprawl. As businesses store and manage data across multiple cloud environments, SaaS applications, and third-party platforms, maintaining control becomes increasingly difficult. Security teams often lack visibility into where sensitive information resides, making it harder to enforce access controls and protect against cyber threats. Traditional security models that rely on layering additional tools onto existing infrastructures are no longer effective. A centralized, AI-driven approach to security and governance is necessary to address these risks holistically. 

Forward-thinking businesses recognize that managing security, compliance, and AI governance in isolation is inefficient. A unified approach consolidates risk management efforts into a cohesive, scalable framework. By breaking down operational silos, organizations can streamline workflows, improve efficiency through AI-driven automation, and proactively mitigate security threats. Integrating compliance and security within a single system ensures better regulatory adherence while reducing the complexity of data management. 

To stay ahead of emerging threats, organizations must modernize their approach to data security and governance. Investing in AI-driven security solutions enables businesses to automate data classification, detect vulnerabilities, and safeguard sensitive information at scale. Shifting from reactive compliance measures to proactive strategies ensures that regulatory requirements are met without last-minute adjustments. Moving away from fragmented security solutions and adopting a modular, scalable platform allows businesses to reduce risk and maintain resilience in an ever-evolving digital landscape. Those that embrace a forward-thinking, unified strategy will be best positioned for long-term success.
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South Korea
AI Apps AI technology Data Privacy data security DeepSeek Privacy privacy laws South Korea

South Korea Blocks DeepSeek AI App Downloads Amid Data Security Investigation

 

South Korea has taken a firm stance on data privacy by temporarily blocking downloads of the Chinese AI app DeepSeek. The decision, announced by the Personal Information Protection Commission (PIPC), follows concerns about how the company collects and handles user data. 

While the app remains accessible to existing users, authorities have strongly advised against entering personal information until a thorough review is complete. DeepSeek, developed by the Chinese AI Lab of the same name, launched in South Korea earlier this year. Shortly after, regulators began questioning its data collection practices. 

Upon investigation, the PIPC discovered that DeepSeek had transferred South Korean user data to ByteDance, the parent company of TikTok. This revelation raised red flags, given the ongoing global scrutiny of Chinese tech firms over potential security risks. South Korea’s response reflects its increasing emphasis on digital sovereignty. The PIPC has stated that DeepSeek will only be reinstated on app stores once it aligns with national privacy regulations. 

The AI company has since appointed a local representative and acknowledged that it was unfamiliar with South Korea’s legal framework when it launched the service. It has now committed to working with authorities to address compliance issues. DeepSeek’s privacy concerns extend beyond South Korea. Earlier this month, key government agencies—including the Ministry of Trade, Industry, and Energy, as well as Korea Hydro & Nuclear Power—temporarily blocked the app on official devices, citing security risks. 

Australia has already prohibited the use of DeepSeek on government devices, while Italy’s data protection agency has ordered the company to disable its chatbot within its borders. Taiwan has gone a step further by banning all government departments from using DeepSeek AI, further illustrating the growing hesitancy toward Chinese AI firms. 

DeepSeek, founded in 2023 by Liang Feng in Hangzhou, China, has positioned itself as a competitor to OpenAI’s ChatGPT, offering a free, open-source AI model. However, its rapid expansion has drawn scrutiny over potential data security vulnerabilities, especially in regions wary of foreign digital influence. South Korea’s decision underscores the broader challenge of regulating artificial intelligence in an era of increasing geopolitical and technological tensions. 

As AI-powered applications become more integrated into daily life, governments are taking a closer look at the entities behind them, particularly when sensitive user data is involved. For now, DeepSeek’s future in South Korea hinges on whether it can address regulators’ concerns and demonstrate full compliance with the country’s strict data privacy standards. Until then, authorities remain cautious about allowing the app’s unrestricted use.
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DeepSeek
AI Models AI technology AI Threat China Cyber Security Data Mining Data Privacy data security DeepSeek

DeepSeek AI Raises Data Security Concerns Amid Ties to China

 

The launch of DeepSeek AI has created waves in the tech world, offering powerful artificial intelligence models at a fraction of the cost compared to established players like OpenAI and Google. 

However, its rapid rise in popularity has also sparked serious concerns about data security, with critics drawing comparisons to TikTok and its ties to China. Government officials and cybersecurity experts warn that the open-source AI assistant could pose a significant risk to American users. 

On Thursday, two U.S. lawmakers announced plans to introduce legislation banning DeepSeek from all government devices, citing fears that the Chinese Communist Party (CCP) could access sensitive data collected by the app. This move follows similar actions in Australia and several U.S. states, with New York recently enacting a statewide ban on government systems. 

The growing concern stems from China’s data laws, which require companies to share user information with the government upon request. Like TikTok, DeepSeek’s data could be mined for intelligence purposes or even used to push disinformation campaigns. Although the AI app is the current focus of security conversations, experts say that the risks extend beyond any single model, and users should exercise caution with all AI systems. 

Unlike social media platforms that users can consciously avoid, AI models like DeepSeek are more difficult to track. Dimitri Sirota, CEO of BigID, a cybersecurity company specializing in AI security compliance, points out that many companies already use multiple AI models, often switching between them without users’ knowledge. This fluidity makes it challenging to control where sensitive data might end up. 

Kelcey Morgan, senior manager of product management at Rapid7, emphasizes that businesses and individuals should take a broad approach to AI security. Instead of focusing solely on DeepSeek, companies should develop comprehensive practices to protect their data, regardless of the latest AI trend. The potential for China to use DeepSeek’s data for intelligence is not far-fetched, according to cybersecurity experts. 

With significant computing power and data processing capabilities, the CCP could combine information from multiple sources to create detailed profiles of American users. Though this might not seem urgent now, experts warn that today’s young, casual users could grow into influential figures worth targeting in the future. 

To stay safe, experts advise treating AI interactions with the same caution as any online activity. Users should avoid sharing sensitive information, be skeptical of unusual questions, and thoroughly review an app’s terms and conditions. Ultimately, staying informed and vigilant about where and how data is shared will be critical as AI technologies continue to evolve and become more integrated into everyday life.
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Vulnerabilities and Exploits
Data Privacy Locked Device Security Patch Tech Giant Vulnerabilities and Exploits

Apple Patches Zero-Day Flaw allowing Third-Party Access to Locked Devices

 

Tech giant Apple fixed a vulnerability that "may have been leveraged in a highly sophisticated campaign against specific targeted individuals" in its iOS and iPadOS mobile operating system updates earlier this week.

According to the company's release notes for iOS 18.3.1 and iPadOS 18.3.1, the vulnerability made it possible to disable USB Restricted Mode "on a locked device." A security feature known as USB Restricted Mode was first introduced in 2018 and prevents an iPhone or iPad from sending data via a USB connection if the device hasn't been unlocked for seven days. 

In order to make it more challenging for law enforcement or criminals employing forensic tools to access data on those devices, Apple announced a new security feature last year which triggers devices to reboot if they are not unlocked for 72 hours. 

Based on the language used in its security update, Apple suggests that the attacks were most likely carried out with physical control of a person's device, implying that whoever exploited this vulnerability had to connect to the person's Apple devices using a forensics device such as Cellebrite or Graykey, two systems that allow law enforcement to unlock and access data stored on iPhones and other devices. Bill Marczak, a senior researcher at Citizen Lab, a University of Toronto group that studies cyberattacks on civil society, uncovered the flaw.

However, it remains unclear who was responsible for exploiting this vulnerability and against whom it was used. However, there have been reported instances in the past in which law enforcement agencies employed forensic tools, which often exploit zero-day flaws in devices such as the iPhone, to unlock them and access the data inside.

Amnesty International published a report in December 2024 detailing a string of assaults by Serbian authorities in which they utilised Cellebrite to unlock the phones of journalists and activists in the nation before infecting them with malware. According to security experts, the Cellebrite forensic tools were probably used "widely" on members of civil society, Amnesty stated.
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