Tillion’s Post

Data privacy concerns the handling, processing, storage, and usage of personal information in a manner that respects individual rights. Data privacy has become paramount in today's digital age as more personal information is online than ever. Data Privacy is a critical issue in the modern era. It encompasses the responsible handling, processing, storage, and usage of personal information while respecting individual rights. As the amount of personal data being stored online increases, data privacy has become more important than ever before. The importance of data privacy extends beyond legal compliance. It not only builds trust between companies and their customers but also the government and their citizens, ensuring that personal data is used ethically and transparently. The General Data Protection Regulation (GDPR) is a critical regulation that came into effect in May 2018, impacting businesses worldwide. As a comprehensive data protection law, GDPR sets a global privacy and security standard. Data privacy is not just about legal compliance. It’s essential for building trust between companies and their customers, as well as between government and their citizens. Trust is established by ensuring that personal data is used transparently and ethically. The General Data Protection Regulation (GDPR) is a critical data protection law that has had a significant global impact since its implementation in May 2018. It has set a worldwide standard for privacy and data security, demonstrating the importance of this issue. Governments must be proactive and forward-thinking in their approach to data privacy. To achieve this, they must invest in cybersecurity and AI, foster public-private partnerships, and engage with international bodies. Governments can ensure that personal data is handled ethically and transparently by creating effective and harmonized data protection frameworks. This will encourage trust between citizens, governments, and companies, leading to a safer and more secure world. #dataprivacy #cybersecurity #govtech #AI

Data Privacy in the Era of Big Data: Challenges and Solutions In today's digital age, data has become a valuable commodity. As businesses and organizations collect and analyze vast amounts of personal information, ensuring data privacy has become a critical concern. With high-profile data breaches making headlines and consumers becoming more aware of their digital footprint, it's essential to examine the challenges of protecting personal data and explore solutions to safeguard privacy rights. Key Points: 1.    The Challenges of Protecting Personal Data ·     The exponential growth of data collection and storage ·     The complexity of data ecosystems, with information shared across multiple platforms and jurisdictions ·     The rise of AI and machine learning, which rely on large datasets to function effectively ·     The potential for data misuse, such as targeted advertising or discriminatory practices   2.    The Role of Legislation in Safeguarding Privacy ·     The impact of the General Data Protection Regulation (GDPR) in the EU ·     The California Consumer Privacy Act (CCPA) and its influence on U.S. privacy law ·     The need for comprehensive federal privacy legislation in the U.S. ·     The importance of global cooperation in enforcing privacy standards   3.    Best Practices for Organizations to Ensure Compliance ·     Implementing robust data security measures, such as encryption and access controls ·     Conducting regular privacy impact assessments and audits ·     Providing transparent privacy policies and obtaining informed consent ·     Appointing dedicated privacy officers and investing in employee training ·     Embracing privacy by design principles in product development   Data privacy is a concern that affects us all, and it's crucial to have an informed discussion about the challenges and potential solutions. ·     Data breaches and unauthorized access ·     Misuse of personal information by companies ·     Lack of transparency in data collection and use ·     Insufficient legal protections for consumers] I encourage you to vote and share your perspective in the comments. If you have any personal experiences or insights related to data privacy, please feel free to share them as well.   Navigating data privacy in the age of big data is a complex challenge that requires ongoing attention and collaboration. By staying informed, advocating for robust legal protections, and adopting best practices, we can work towards a future where personal data is respected and protected. Let's continue this important conversation and find solutions that balance the benefits of data-driven innovation with the fundamental right to privacy.   #DataPrivacy #BigData #GDPR #CCPA #CyberSecurity

𝗘𝗺𝗯𝗿𝗮𝗰𝗲 𝗔𝗜 𝘁𝗼 𝗚𝗮𝗶𝗻 𝗩𝗶𝘀𝗶𝗯𝗶𝗹𝗶𝘁𝘆 𝗶𝗻𝘁𝗼 𝗗𝗮𝗿𝗸 𝗖𝗼𝗿𝗻𝗲𝗿𝘀 𝗼𝗳 𝘆𝗼𝘂𝗿 𝗗𝗮𝘁𝗮 𝗟𝗮𝗻𝗱𝘀𝗰𝗮𝗽𝗲 Recent changes in data privacy compliance and complexities of privacy management is urging organizations to understand the health of their data in real-time and potential risks. Data privacy observability is a concept that focuses on using the right tools to monitor, analyze, and understand where sensitive data is stored and how it flows within an organization’s ecosystem. In this blog we have covered how 𝗦𝗲𝗰𝘂𝘃𝘆’𝘀 𝗱𝗮𝘁𝗮 𝗽𝗿𝗶𝘃𝗮𝗰𝘆 𝗰𝗼𝗺𝗽𝗹𝗶𝗮𝗻𝗰𝗲 𝗽𝗹𝗮𝘁𝗳𝗼𝗿𝗺 offer organizations 360⁰ visibility of their sensitive data through advanced unsupervised machine learning AI models that can continuously scan any data source and any data type. Read the blog to learn about our platform’s data observability capabilities: https://lnkd.in/gQdvWEN4 #PrivacyObservability #PrivacyCompliance #DataPrivacyPlatform

Chile is making progress with its Privacy Law!Now, how do you start a Privacy program? Make it simple. I’ve been working in Privacy for many years and here are my tips to start: 1) Start with a draft of your ROPAs (Records of Processing Activities): you can’t protect what you don’t know. So sit down and make a list (by department) of which personal data fields your company is collecting (start with collection and with the data you collect for your own purposes as “data controller”: basically when you decide what to collect and what to do with it), bonus points if you meet with someone of that department and ask them. HR - list of employee data IT: employee data - IP, activity logs Finance: invoicing personal details of vendors, payroll Sales: client data + Data if your customers/clients when they get your services Then continue with any data you process or collect while you provide services to another company: you most likely be a “data processor” here and will have to comply with the client instructions and delete the data when they tell you to do so. 2) While you do the list above, think if you really need to collect that data. Write down why you need it: is it to perform a contract? To comply with your own legal obligations? Is it because you asked people for their consent? Remember that consent of your employee’s data is usually not valid (not freely given). 3) Now you can start drafting your Privacy Policy. Of course I recommend using ours at TELUS International as a start https://lnkd.in/eXhXNB-m Drafting your policy will make you ask yourself many questions: With whom are you sharing the data? How long are you keeping it? 4) Once you have clarity on those questions, start drafting your Data Processing Agreement templates: one that you use with your vendors (controller- processor) and one you use with your own clients (this one will depend of your industry, but most -not all- service providers are processors). Openai has their own template available online on their website: https://lnkd.in/ey5hKksG 5) Start assessing the risk of your processing activities as a controller. Do you need a Data Privacy Impact Assessment? Ask yourself that question with this template: https://lnkd.in/evqt47B5 Do one if you answer Yes. Use this to do one: https://lnkd.in/e2AsUNsJ 6) Finally, with the work you did with your ROPAs in point 1) you should have an idea of which data you hold from people. Start drafting a process on what to do when you get your deletion and access requests from people: - work together with IT, they might be able to get you the data automatically - don’t delete anything if you need it to prove your own compliance with the law. This is just a start but it will help you a lot as guidance. Any other tips?

As individuals and organizations adopt AI at breakneck speed, governments and regulators are left playing catch-up to determine its impact on data privacy. Adopting a privacy-first mindset will give organizations a significant advantage as expectations around data privacy intensify. Learn the foundation for building data privacy into business processes below.

Data protection is no longer just a niche issue; it's becoming a global standard. A recent article I read about a data protection regulation tracker opened my eyes to how countries around the world are handling personal data differently. It raises some interesting questions about our assumptions and the future landscape of data privacy. Here are a few thoughts: - Evolving Landscape: There are now over 120 countries engaged in some form of international privacy laws. This is significant because it highlights how data protection is becoming a global expectation rather than an exception. Yet, many nations are still lagging behind, leaving gaps that could be exploited. - Convergence vs. Divergence: While many laws are inspired by the GDPR, each country is putting its spin on privacy regulations. Does this lead to a more secure world, or does it create confusion and compliance nightmares for international businesses? If each nation has a different set of rules, how can companies ensure they stay compliant globally? - Public Responsibility: As individuals, we often overlook how personal data is collected and managed. This tracker serves as a crucial reminder of the importance of advocating for stronger privacy laws and holding corporations accountable for protecting our data. - Future of Regulation: With regulations rapidly evolving, are we ready for what’s to come? How will emerging technologies, like AI and machine learning, transform our privacy landscape? Will regulations keep pace with innovation? It’s clear that privacy isn’t just an IT issue anymore; it’s a fundamental aspect of our rights as individuals. I’m eager to hear how others are navigating these challenges. What’s your take on the global approach to data protection? Are you seeing any effective strategies emerging from your own countries? https://lnkd.in/ePYVaKRS

Consider the following research findings: - 63% of Internet users believe most companies aren’t transparent about how their data is used, and - 48% have stopped shopping with a company because of privacy concerns. (Staying cyber-secure while working from home by Ratnesh Pandey) - 87% of users care about their data privacy and believe the way a company treats their personal data is indicative of the way it views them as a customer. (Cisco 2023 Consumer Privacy Survey) - 88% of users are concerned about risks in how companies use their personal data in generative AI. (Cisco 2023 Consumer Privacy Survey) - 37% of users have terminated relationships with companies over data, up from 34% only two years ago. (Cisco 2022 Consumer Privacy Survey; not in 2023 study.) Yet, many companies don't consider deeply enough how well their data privacy management effects business strategy. Very few take in to account or measure the customer experience as part of privacy metrics. Instead they focus on programmatic measures, e.g., compliance with laws, audit assessments, numbers of things - updated policies, data subject requests, trainings, privacy assessments, data breaches, etc. These companies add compliance as an "add-on" to their operations, divorced from their strategy. The benchmark companies, in contrast, spend the majority of their efforts in understanding how to create value for their customers and employees and deepen their relationships with them. They naturally embed required compliance efforts within their operations. They achieve their strategy AND their compliance is a natural - and necessary byproduct - of building enduring relationships with customers, employees and other stakeholders. One such company is 37Signals, the makers of Basecamp. I've been a delighted Basecamp customer for nearly two decades. They have a Customer Bill of Rights that they live by. Check it out. The challenge, should you choose to accept it... Transform compliance so that it is part of your business strategy. Start by asking, "How can we ensure that our business strategy is clear, understood and consistently executed according to our lived values?"

Topic: The future of Data Privacy: The future of data privacy is shaping up to be a dynamic landscape with a focus on empowering individuals and fostering a more responsible approach to data collection and use. Here are some key trends to watch: Increased Regulation: We can expect to see a continued rise in data privacy regulations globally. Existing regulations like GDPR (General Data Protection Regulation) and CCPA (California Consumer Privacy Act) are paving the way for stricter data protection measures. Look for more countries and regions to enact comprehensive data privacy laws, giving individuals more control over their personal information. Focus on User Control: Individuals will have greater control over their data. Expect features like "data portability" to become more commonplace, allowing users to easily transfer their data between different platforms. "Consent management platforms" will likely gain traction, giving users more granular control over how their data is used and shared. Transparency and Explainability: Organizations will need to be more transparent about how they collect, use, and store user data. Look for advancements in "explainable AI" that will allow users to understand how algorithms make decisions based on their data. Focus on Data Security: Data breaches are a constant threat, and organizations will face increasing pressure to invest in robust data security measures. Technologies like encryption and anonymization will play a crucial role in protecting sensitive information. Emergence of Privacy-Enhancing Technologies (PETs): New technologies will emerge to help organizations collect and utilize data while still protecting user privacy. Techniques like federated learning and differential privacy will enable data analysis without compromising individual data points. Collaboration and Innovation: Collaboration between governments, businesses, and technology companies will be crucial in shaping the future of data privacy. We can expect continued innovation in data security and privacy-preserving technologies. Challenges and Concerns: Balancing privacy with innovation will be a key challenge. Balancing the needs of law enforcement and national security with individual privacy rights will be an ongoing debate. The global nature of the internet makes enforcing data privacy regulations complex. The future of data privacy is about striking a balance between technological advancement and individual rights. By empowering users, promoting transparency, and investing in data security, we can create a digital environment that fosters trust and innovation.

Addressing a data privacy breach in an AI project requires immediate and strategic actions. Here are the key steps: 1. Contain the Breach Immediately Take immediate action to stop the breach by isolating affected systems, revoking access, and securing data. 2. Conduct a Thorough Investigation Investigate the breach to determine its cause, scope, and the extent of data compromised. Assess whether it was accidental or intentional. 3. Notify Stakeholders Inform stakeholders such as clients, regulatory authorities, and any affected parties, in compliance with legal obligations and transparency standards. 4. Review and Reinforce Security Protocols Review existing security measures to identify gaps and update protocols to prevent future incidents. This may involve technical upgrades, policy revisions, and stronger access controls. 5. Provide Team Training Educate the team on data privacy laws and internal security procedures, ensuring everyone understands their responsibility in protecting sensitive information. 6. Disciplinary Measures and Accountability Depending on the investigation results, consider appropriate disciplinary actions for the team member, ensuring they understand the severity of the breach and its consequences. 7. Restore Trust and Communication Work to restore trust by being transparent with clients and stakeholders, outlining steps taken to mitigate the breach and prevent future occurrences. 8. Monitor for Long-term Impacts Continuously monitor for any long-term consequences of the breach, such as potential legal implications or data misuse, and be ready to address them promptly.

🔮 Prediction: The recent penalty imposed on Clearview AI by the Netherlands' data protection authority is just the tip of the iceberg. Data privacy regulations are becoming increasingly stringent globally, and more heavy fines are likely to follow for companies that violate them. 💼 General Commentary: - Data privacy concerns are at an all-time high, and regulators are cracking down on organizations that fail to comply with regulations like GDPR. - Clearview AI's €30.5M penalty serves as a warning to other tech companies to prioritize data protection and comply with regulations to avoid similar consequences. 🌐 Looking Ahead: - Expect to see more companies facing penalties for data privacy violations as regulators become more proactive in enforcing compliance. - This case underscores the importance of transparency and accountability in handling personal data, setting a precedent for data privacy enforcement worldwide. 💡 Key Takeaways: - Organizations must prioritize data privacy and implement robust compliance measures to avoid hefty fines and reputational damage. - Compliance with data protection laws is not just a legal requirement but also essential for building trust with customers and stakeholders. 🚀 Moving Forward: - Stay updated on evolving data privacy regulations and ensure your organization is proactively addressing compliance requirements. - Invest in technology and processes that safeguard personal data and demonstrate a commitment to protecting individual privacy.