GDPR

Tech Optimizer
October 16, 2026
NordVPN has introduced a new offering called "next-gen antivirus" (NGAV) to address evolving cybersecurity threats, particularly those from artificial intelligence. NGAV aims to redefine online security by protecting against sophisticated threats like socially engineered scams and phishing attacks, rather than just traditional viruses. It operates in the background, alerting users to potential scams, blocking ads and trackers, and removing malware without requiring extensive technical knowledge. The company recognizes that personal AI agents present a new cybersecurity challenge and is developing features to protect these agents. NordVPN has incorporated bespoke AI solutions into its NGAV, using efficient models that can identify phishing attempts while running locally on user devices. The company has also shifted to open-weight models to reduce costs while maintaining capabilities, although sensitive areas like payment processing remain unaffected by AI. Despite privacy concerns regarding AI, NordVPN has not faced significant pushback from customers about its AI features and emphasizes its commitment to not using customer data for model training. Briedis warns that over-regulation could hinder innovation in cybersecurity. Looking ahead, he envisions a comprehensive application that monitors users' digital environments and manages their data presence online, while NordVPN plans to focus on creating localized solutions rather than hardware development.
AppWizard
August 26, 2026
Multilogin has launched an open-source AI agent for social media management on authentic Android devices in the cloud. This tool enables automation of workflows on platforms like TikTok, Instagram, Facebook, and X. The AI agent connects to a Multilogin Android cloud phone, allowing it to view screens, execute taps, type commands, and save results. It integrates with multiple AI agents capable of running shell commands and interpreting visual inputs. Each cloud phone functions as an independent Android device with unique parameters and persistent app data, connected via ADB. The tool monitors the cloud phone's readiness, activates ADB, interprets screenshots, and executes tasks while logging activities. It is designed for marketers, agencies, creators, and teams, providing setup instructions and compatibility with AI tools like ChatGPT/Codex and Claude Code. The project is available on GitHub, and Multilogin offers a free plan with paid options starting at [openai_gpt model="gpt-4o-mini" prompt="Summarize the content and extract only the fact described in the text bellow. The summary shall NOT include a title, introduction and conclusion. Text: Multilogin has unveiled an innovative open-source AI agent designed to empower social media management on authentic Android devices hosted in the cloud. This groundbreaking tool bridges the gap between AI capabilities and mobile app functionalities, allowing users to automate workflows across popular platforms such as TikTok, Instagram, Facebook, and X. How the Tool Functions The newly developed AI agent connects seamlessly to a Multilogin Android cloud phone, providing it with the ability to view screens, execute taps, type commands, and complete various tasks while saving the results. This integration works harmoniously with multiple AI agents, including Claude Code, Cursor, and OpenClaw, all of which can run shell commands and interpret visual inputs from screenshots. As many social media operations increasingly shift to mobile applications, the limitations of browser-based tools become apparent. While browser profiles serve their purpose for web-based tasks, they fall short when it comes to executing native Android applications. Multilogin's cloud phones offer a distinct advantage by providing an authentic Android environment, facilitating direct interaction with mobile apps. Each cloud phone operates as an independent Android device in the cloud, complete with unique device parameters, installed applications, and persistent app data. The AI agent connects to the cloud phone via ADB (Android Debug Bridge), a standard interface used by developers for device management. Operational Efficiency and Flexibility The process begins with the selection of an Android cloud phone, which the tool monitors until it is fully operational. Once ready, the AI agent activates ADB, allowing it to interpret screenshots, determine subsequent actions, and execute tasks such as tapping or typing. Upon completion of a task or in the event of an error, the tool halts the cloud phone and logs the activity, ensuring that resources are not wasted during the development and testing of AI-assisted mobile workflows. This project is compatible with any AI agent capable of executing shell commands and processing visual inputs, making it versatile for various applications. Gleb K., the UI team lead at Multilogin, emphasizes the importance of this development: “AI agents are becoming useful for real operational work, but many important workflows still happen inside mobile apps. We built this open-source project to give everyone a simple and controlled way to connect AI agents to Android cloud phones.” Target Audience and Accessibility The cloud phone agent is tailored for marketers, agencies, creators, and teams seeking an AI assistant to streamline routine tasks within Android applications. Users need not start from scratch; the project provides clear setup instructions and is compatible with widely-used AI tools such as ChatGPT/Codex, Claude Code, OpenClaw, and Cursor. Once connected, the AI agent can efficiently manage tasks on the cloud phone, with the Multilogin Support team readily available for assistance. As with any automation tool, users are encouraged to adhere to the guidelines set by the applications they utilize. The Multilogin cloud phone agent is accessible on GitHub: GitHub Repository. For further information about Android cloud phones from Multilogin, visit Multilogin's Website. The Need for Android Cloud Phones in Social Media Workflows As marketing teams increasingly adopt AI-driven workflows, the necessity for reliable and scalable environments becomes paramount. Real Android devices provide AI agents with the authentic conditions that mimic human usage, allowing accounts to behave naturally and accumulate history over time—an aspect that emulators and browser profiles simply cannot replicate. About Multilogin Multilogin is a comprehensive platform offering cloud phones and browser profiles tailored for marketers, agencies, creators, and AI workflow builders. It enables teams to manage distinct browser and mobile workflows from a unified dashboard. Multilogin offers a Free plan with no credit card requirement, while paid plans commence at .08 per month when billed annually, inclusive of monthly proxy traffic and mobile minutes based on the selected plan. Established in 2015, Multilogin operates from the UAE and adheres to GDPR compliance. Media Contact: Teona B. Media Specialist Multilogin Email: marketing@multilogin.com For additional visuals accompanying this announcement, please visit the following links: Visual 1 Visual 2" max_tokens="3500" temperature="0.3" top_p="1.0" best_of="1" presence_penalty="0.1" frequency_penalty="frequency_penalty"].08 per month.
AppWizard
August 5, 2026
Advertising companies provide software development kits (SDKs) for mobile app monetization, which often automatically transmit users' location data to ad systems and location data brokers, raising privacy concerns. Many developers and users may be unaware of this data sharing. When developers allow SDKs to collect location data, it poses risks beyond targeted ads, including potential misuse by agencies like ICE and global surveillance. Location data brokers harvest precise movements of individuals, often without their consent, through mobile applications. Some apps directly collaborate with data brokers, while others leak data through advertising SDKs during real-time bidding (RTB) auctions. An incident in 2025 revealed that many apps unknowingly contributed to a location data broker's database. Developers must understand their SDKs' location-sharing practices to mitigate risks. Advertising SDKs can collect location data automatically once users grant permission, without specific permissions for the SDKs themselves. Precise location data can be collected when apps have location permissions, leading to potential privacy violations. Several SDKs have been identified as collecting location data by default, increasing the risk of unintentional data leaks. The Electronic Frontier Foundation (EFF) found that four advertising SDKs collect users' location data by default when location permissions are granted. InMobi encourages location sharing for higher revenue, while BidMachine updated its documentation after EFF's inquiry, confirming precise location data collection. Verve's SDK also collects location data by default but presents a cautious narrative in its Play Store guidance. Huawei's SDK recommends obtaining location permissions to enhance revenue, with default location sharing occurring if permissions are granted. Location data can be shared without users' knowledge or meaningful consent, complicating informed consent issues. The focus on four SDKs does not imply that others adequately protect location data, as many have faced criticism for similar practices. Studies indicate that SDKs often encourage increased data collection through design and documentation, leading to minimal control for developers over data transmission. The EFF's analysis highlights that advertising SDKs incentivize location data sharing through default settings and unclear documentation. Developers should assess third-party SDKs and disable unnecessary data collection. Regulators must hold developers accountable for unlawful data sharing, while legislators should enact laws to protect location privacy and address online behavioral advertising, which drives data tracking.
AppWizard
August 5, 2026
Developers often rely on third-party software development kits (SDKs) for mobile app monetization, which can compromise user privacy due to invasive data-collection features. The Electronic Frontier Foundation (EFF) has raised concerns about these SDKs' default settings that collect sensitive location data without explicit user consent. Location data is valuable for advertisers, allowing targeted marketing, but permissions granted to apps often extend to SDKs, enabling data collection without informed consent. The EFF emphasizes that app-level location permissions do not signify meaningful consent for third-party SDKs. The location data collected has been used by intelligence agencies and law enforcement, raising ethical privacy concerns. The EFF recommends that developers prioritize user privacy, regulators hold app developers accountable for unlawful data sharing, and legislators consider enacting federal laws similar to the GDPR to protect user privacy and potentially ban behavioral advertising.
AppWizard
August 5, 2026
Recent research from the Electronic Frontier Foundation (EFF) has revealed that millions of Android users' location data are being inadvertently exposed to advertisers through third-party code libraries. This occurs when seemingly harmless applications, like weather services and fitness trackers, integrate third-party SDKs that collect user location information automatically upon permission approval, often without developers' awareness. Data brokers aggregate this location information to create detailed movement profiles sold to advertisers and government agencies. Despite privacy regulations like GDPR and CCPA, enforcement is inconsistent, and developers may claim ignorance regarding data practices they did not implement. Google has improved Android's privacy controls, but visibility into third-party libraries accessing data remains limited. Developers face challenges in auditing third-party code due to resource constraints, leading to a complex landscape where user information traverses multiple entities without clear accountability. Privacy advocates are calling for new technical standards to require SDKs to disclose their data practices.
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