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Source channel @olddriverGDstudy · Post #29 · Mar 17

搜索使用说明 #搜索指南 因为电报软件对中文搜索支持不好,大队特别对队内资源搜索进行了整理汇集,使用方法说明如下: 1.1 原理: 电报对中文搜索支持不佳,汉字只有在前后含有asic码字符的前提下可以被正确搜索出,如 _广州修车大队_ (“_”指代空格)、(广州修车大队);等形式可以搜索“广州修车大队”搜索出相关信息;搜索“广州”等未被asic码间隔的汉字无法正确显示。 为正确搜索,在编制频道资源时,对重要信息可以采取Hashtag的形式已方便搜索,即以"#"字符开头,接汉字,以“空格字符”结尾的形式,点击一个hashtag即可快速定位该频道或聊天群内所有相同标签,建议所有管理在编辑重要资料包括ls信息、广播台、学习频道时正确使用hashtag。 !!注意标签不要随意编写,要参考搜索指南中有的标签类型!! 1.2 JS资源定位: JS目前支持 Hasgtag(#K老师)、数字标签(#GZ003)的搜索方式,在对应榜单和报告区中试用上述方式均可查找到JS的相关信息。 使用举例:在“广州公开榜”或“广州修车大队”的搜索栏中输入 #K老师 或 #GZ003,均可定位到K老师资料页;在报告区的搜索栏中输入#K老师 或 #GZ003,均可定位到K老师的验证报告。这两者是快速了解JS基本信息和评价的便捷办法。 1.3 标签查找 公榜榜单目前均支持标签查找,可以快速定位某种类型或地区的所有JS,目前仅支持Hashtag查找,目前常用标签解释如下: 地区标签: 一定要使用一级标签,例如 #天河区(注意不要有错别字) #颜值: 不解释 #服务: 评价中92、95的,有场子出身花式水平的,均会归入此类; #大胸: 不解释,一般D以上归入此类; #长腿: 不解释,一般168以上归入此类; #身材: 不解释,较为宽松; #嫩妹: 22岁以下或者长相很嫩的,白小纯的,loli系的,cos系的归入此类; #熟女: 30岁以上风韵犹存的,归入此类; #特服: 提供3p、3t、wt、字母等特殊服务的JS归入此类。 使用举例:在红榜的搜索栏中输入 #长腿,可以快速查看“莉贝伦”等8位长腿JS。 类型标签评价目前非常主观,有不妥之处请队内私信 JackJack 或其他管理人员修改。 1.4 资料查找 目前学习频道中试用hashtag来快速定位资料,目前使用的标签有如下几种: #安全CJ#素质CJ#卫生CJ #搜索指南 #大队玩法 #语录#秀哥语录 #技巧#知识

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Compliance Hub Association

@hub_compliance · Post #189 · 01/29/2024, 10:52 AM

Поздравляем с Международным днём защиты персональных данных! Берегите себя и свои персональные данные. #dataprotection

Compliance Hub Association

@hub_compliance · Post #530 · 11/13/2024, 05:13 AM

Рады сообщить о том, что Compliance Hub и Digital Rights Center Kazakhstan заключили Меморандум о сотрудничестве и взаимодействии в целях реализации совместных инициатив в области комплаенс и защиты персональных данных, в том числе, в образовательной сфере. #compliance#dataprotection

Compliance Hub Association

@hub_compliance · Post #249 · 03/07/2024, 08:03 AM

Очередная утечка персональных данных https://kapital.kz/finance/123811/proizoshla-utechka-personal-nykh-dannykh-kliyentov-zaimer.html #dpo#dataprotection

Compliance Hub Association

@hub_compliance · Post #80 · 10/30/2023, 10:24 AM

В случае обнаружения Telegram-ботов, нарушающих конфиденциальность граждан на безопасность персональных данных, МЦРИАП Республики Казахстан просит граждан сообщать об этом напрямую в министерство для предотвращения нарушений прав граждан на защиту персональных данных. https://www.gov.kz/memleket/entities/mdai/press/news/details/644166?lang=ru #dataprotection#dpo

Compliance Hub Association

@hub_compliance · Post #68 · 10/20/2023, 12:01 AM

19 октября успешно прошел Евразийский конгресс по защите данных (EDPC 2023). DPO крупных компаний рассказывали об опыте построения систем защиты персональных данных. Тема актуальная, доклады чрезвычайно полезные. #privacy#dataprotection

Compliance Hub Association

@hub_compliance · Post #541 · 11/19/2024, 05:26 AM

Всем привет! Не пропустите вебинар "Текущие вызовы в области комплаенс и ПОД/ФТ", в котором CEO Compliance Hub Тимур Мусин расскажет об основных тенденциях в области комплаенс и ПОД/ФТ. Когда: 22 ноября, 16:00 - 17:30 Формат: Онлайн, Zoom, бесплатно Организатор мероприятия: KOMPRA Ссылка на регистрацию: https://docs.google.com/forms/d/e/1FAIpQLScGbpBXRxErDBEq9VhopBJGIR2r0Miu_RV6hJ-ql5wF9dI9mw/viewform #compliance#amlcft#dataprotection

AI & Law

@ai_and_law · Post #684 · 10/22/2025, 07:04 AM

💻AI Browsers Become Attack Vectors SquareX has flagged growing security risks tied to AI-powered web browsers, according to GovInfoSecurity. These browsers are designed to automate routine online tasks, but doing so requires broad access to users’ personal data. Founder Vivek Ramachandran warned that these systems are “trained to complete tasks, not to be security aware.” This design gap makes it easy for attackers to manipulate AI browsers into executing malicious actions under the guise of legitimate workflow steps. This emerging vulnerability challenges existing cybersecurity assumptions and shifts the weak point from user behavior to automated agents acting on their behalf. #AI#Cybersecurity#DataProtection

AI & Law

@ai_and_law · Post #774 · 02/27/2026, 08:04 AM

🇳🇱Dutch Regulator Flags Open-Source AI Agents as Security Threat The Autoriteit Persoonsgegevens, the Netherlands’ data protection authority, has warned organizations against using popular open-source AI agents such as OpenClaw due to serious security risks. According to the regulator, many plug-ins built for these agents contain malware capable of triggering data breaches and enabling account takeovers. Cybersecurity professionals characterize these agents as a “Trojan horse”: once granted device access, they can extract login credentials and gain entry to cryptocurrency accounts. The warning reframes open-source AI not as a transparency advantage by default, but as a potential vector for systemic compromise when governance over extensions and permissions is weak. #AIRegulation#DataProtection#Cybersecurity

AI & Law

@ai_and_law · Post #572 · 05/19/2025, 07:04 AM

🇪🇺Meta’s AI Plans Face GDPR Roadblock Meta’s announcement to start using personal data from Facebook and Instagram—including from EU users—for AI training as of May 27 has triggered legal action. The privacy NGO noyb, led by Max Schrems, has sent Meta a Cease and Desist letter, warning that a European class action could follow. At the core of the dispute is Meta’s choice to base this data processing on “legitimate interest” rather than seeking users' informed consent, as required under Article 6 of the GDPR. If noyb proceeds with litigation and the courts agree, Meta could be forced to halt AI training involving EU data and delete existing models trained unlawfully. With the risk of massive collective redress claims looming, this case could set a decisive precedent for how AI development must align with European data protection law. #AI#GDPR#DataProtection

AI & Law

@ai_and_law · Post #463 · 12/12/2024, 08:04 AM

Italian Data Protection Authority Challenges AI-Powered Business Models The Italian Data Protection Authority (DPA) has issued a formal warning to Gedi Group, cautioning against the use of its newspaper archives for AI training under a licensing agreement with OpenAI. The archives reportedly contain sensitive personal data, including judicial records, which the DPA argues cannot be lawfully shared or processed without meeting strict GDPR requirements. The Authority highlights deficiencies in Gedi's legal basis for data sharing, impact assessments, and transparency toward affected individuals. This action could have broader implications, potentially undermining licensing-based AI models across the EU. If data protection laws conflict with proposed solutions like content licensing for generative AI, the industry may face a deadlock. With other EU regulators likely to take note, this could mark the beginning of a regulatory shift that challenges the very foundations of AI-driven innovation. #AI#GDPR#DataProtection

AI & Law

@ai_and_law · Post #642 · 08/25/2025, 07:04 AM

🌐AI Assistants and the Privacy Mandate Var Shankar, founder of the Council on AI Governance, highlights a growing challenge in a new analysis for the OECD: AI assistants accumulate personal data that forms detailed user profiles, raising complex questions of privacy and control. This isn’t about whether the data exists — it already does — but about how it is handled, secured, and regulated. Shankar argues that responsibility should not rest on users deciphering long terms of service. Instead, the onus must shift to policymakers to establish clear, enforceable standards governing the use of such data. #AIgovernance#Privacy#DataProtection #

AI & Law

@ai_and_law · Post #639 · 08/20/2025, 07:04 AM

🌐Researchers claim AI models show signs of tracking data to target users A joint study by researchers in Italy and the U.K. has revealed that 10 widely used AI models collect and transmit user data in ways that may violate data protection law. According to Euronews, the investigation traced how information flowed between the models, servers, and online trackers, uncovering practices that go beyond simple personalization. The findings are significant: AI browsing assistants were shown to capture highly sensitive information, including banking details, tax numbers, academic records, and even medical data. This raises pressing legal and ethical questions about whether AI systems that promise convenience are instead creating systemic risks to privacy and compliance. #AIethics#DataProtection#AIregulation#Privacy

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