The hottest Data Privacy Substack posts right now

And their main takeaways
Category
Top Technology Topics

Microsoft Security Copilot - the Introduction

Rod’s Blog • 79 implied HN points • 07 Nov 23
🕹 Technology Cybersecurity Artificial Intelligence Data Privacy Tech Integration
  1. Microsoft Security Copilot is an AI-powered security solution by Microsoft to help security teams respond faster and more effectively to cyber threats.
  2. Security Copilot provides tailored insights and guidance for tasks like incident response, threat hunting, intelligence gathering, and posture management.
  3. The tool seamlessly integrates with Microsoft's security portfolio and third-party services, offering features like incident summarization, threat exposure information, and executive report generation.

Zoom's AI misstep

Deploy Securely • 157 implied HN points • 08 Aug 23
🕹 Technology AI Data Privacy Cybersecurity
  1. Zoom updated its terms to allow training AI models earlier this year.
  2. Zoom clarified that it won't use audio, video, or chat content for AI training without opt-in.
  3. Be cautious about opting into Zoom's generative AI features to avoid your content becoming part of their AI models.

Why I want an AI File Explorer

Cosmos • 39 implied HN points • 31 Dec 23
🕹 Technology AI Data Privacy File Management
  1. AI File Explorer can use AI to analyze, tag, search, and organize files based on their contents, freeing users from manual tagging.
  2. Data stored on cloud services may pose privacy and accessibility challenges for using AI on personal files.
  3. Next-generation file explorers, like Cosmos, offer privacy-focused AI solutions, emphasizing user control over data and experimenting with Small Language Models.

The latest papers about browser fingerpinting

The Web Scraping Club • 19 implied HN points • 11 Feb 24
🕹 Technology Cybersecurity Data Privacy
  1. Browser fingerprinting is used as an alternative to cookies and raises privacy concerns due to its unique identification capabilities.
  2. Desktop devices are more easily uniquely fingerprinted compared to mobile devices, with Chrome providing more detailed configurations.
  3. Innovative approaches like using WebGPU for web fingerprinting pose privacy risks and may require countermeasures to prevent misuse.

The Future of ESG Reporting in Developing Economies: Blockchain-Powered Accountability

Concordium Monthly Updates • 117 implied HN points • 06 Sep 23
🕹 Technology Blockchain Data Privacy Scalability
  1. ESG reporting in developing economies faces challenges like lack of awareness, resources, and regulatory frameworks.
  2. Concordium's blockchain technology offers transparency, accountability, and efficiency for ESG reporting.
  3. Concordium's use of sharding, ZKP, inbuilt identity layer, and layer 1 structure enhances ESG reporting in developing economies.
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Brief: How Microsoft AI Protects Your Data Privacy

Rod’s Blog • 19 implied HN points • 07 Feb 24
🕹 Technology AI Data Privacy Microsoft
  1. Microsoft AI is based on the principle of 'your data is your data', emphasizing that you own and control your personal data.
  2. Microsoft AI ensures data privacy by collecting and using data with consent, not selling data to third parties, and implementing strong security measures.
  3. Data privacy is crucial for AI as it builds trust, protects human rights and promotes innovation in the industry.

Data classification mastery: 5 simple categories for handling sensitive information

Deploy Securely • 19 implied HN points • 07 Feb 24
🕹 Technology Data Management Cybersecurity Data Privacy Regulations AI Governance
  1. Effective AI governance requires clear data classification policies and procedures.
  2. Avoid unnecessarily complex ascending levels of data sensitivity for easier management.
  3. Utilize practical categories like Public, Confidential-Internal, and Confidential-External for better data handling.

Maine Micdrop: Auto Right to Repair Wins 84% Support At Polls

Fight to Repair • 59 implied HN points • 10 Nov 23
🕹 Technology Repairability Ecosystem Sustainability Policy Data Privacy
  1. Maine voters strongly support the right to repair automotive vehicles, mirroring efforts in other states. Voting yes on Question 4 allows car owners to choose where they get their vehicles repaired.
  2. Denver's Waste No More initiative promotes deconstruction over demolition to recycle and reuse construction materials, reducing landfill waste and lowering carbon footprint. Transitioning to deconstruction on a large scale faces challenges.
  3. Recognizing the environmental impact of construction waste, Denver residents passed the Waste No More ballot initiative. The ordinance requires the separation and recycling of several materials in construction and demolition activities.

Draft Biden EO Seeks to Bar Adversaries From Accessing Americans' Sensitive Data

Metacurity • 19 implied HN points • 24 Jan 24
🌍 World Politics National Security US government Data Privacy
  1. Draft Biden administration is creating an executive order to prevent foreign adversaries from accessing sensitive American data.
  2. The order will involve new restrictions on data transactions that could threaten national security.
  3. Focus on preventing foreign adversaries from legally obtaining highly sensitive personal data of Americans.

Edition 23: A framework to securely use LLMs in companies - Part 3: Securing ChatGPT and GitHub Copilot

Boring AppSec • 84 implied HN points • 05 Sep 23
🕹 Technology Security Artificial Intelligence Productivity Tools Data Privacy Software Engineering
  1. The post discusses a framework for securely using LLMs like ChatGPT and GitHub Copilot in companies.
  2. It highlights key risks and security controls for ChatGPT, focusing on data leakage and over-reliance on AI-generated output.
  3. For GitHub Copilot, it addresses risks like sensitive data leakage and license violations, along with suggested security controls.

Must Learn AI Security Compendium 16: Shadow AI

Rod’s Blog • 39 implied HN points • 29 Nov 23
🕹 Technology AI Security Generative AI Data Privacy Ethical AI Governance
  1. Shadow AI can expose organizations to risks like data leakage, model poisoning, unethical outcomes, and lack of accountability.
  2. To address shadow AI risks, organizations should establish a clear vision, encourage collaboration, implement robust governance, follow responsible AI principles, and regularly monitor AI systems.
  3. Adopting a responsible and strategic approach to generative AI can help organizations leverage its benefits while minimizing the risks associated with shadow AI.

Must Learn AI Security Part 10: Backdoor Attacks Against AI

Rod’s Blog • 79 implied HN points • 08 Sep 23
🕹 Technology AI Security Cybersecurity Machine Learning Data Privacy Threat Detection
  1. A backdoor attack against AI involves maliciously manipulating an artificial intelligence system to compromise its decision-making process by embedding hidden triggers.
  2. Different types of backdoor attacks include Trojan attacks, clean-label attacks, poisoning attacks, model inversion attacks, and membership inference attacks, each posing unique challenges for AI security.
  3. Backdoor attacks against AI can lead to compromised security, misleading outputs, loss of trust, privacy breaches, legal consequences, financial losses, highlighting the importance of securing AI systems with strategies like vetting training data, robust architecture, and continuous monitoring.

Must Learn AI Security Compendium 10: Challenges of Enhancing AI Language Models with External Knowledge

Rod’s Blog • 59 implied HN points • 12 Oct 23
🕹 Technology AI Security Machine Learning Software Data Privacy
  1. Retrieval-Augmented Generation (RAG) enhances AI language models by combining them with external knowledge sources, improving the quality and accuracy of generated responses.
  2. RAG offers benefits such as access to current information, increased contextual understanding, and reduced risk of incorrect data, but it also comes with challenges like data integration and semantic relevance.
  3. The future of RAG includes developments like fine-grained relevance ranking, domain-specific knowledge bases, real-time updates, and ethical considerations to ensure responsible use.

Go gentle into that good night

WORLD GONE WRONG • 117 implied HN points • 24 Jun 23
🕹 Technology Social media Cryptocurrency Data Privacy Internet culture
  1. Web 2.0 is coming to an end, leading to uncertainty about the future of online platforms.
  2. Social networks may not be well-equipped to handle the scale of connecting billions of people.
  3. The concept of global interconnectedness through technology raises questions about human scale compatibility and the need for building healthier systems.

We don't talk (about Facebook) any more

Social Warming by Charles Arthur • 117 implied HN points • 21 Apr 23
🕹 Technology Social media AI Data Privacy Journalism Content creation
  1. Scandals involving Facebook have reduced significantly since the revelations by whistleblower Frances Haugen
  2. Despite financial stability, Facebook has lost relevance in the news and social media landscape
  3. Artificial intelligence, like ChatGPT, is changing the freelance writing industry by providing faster and cheaper content creation

Health New Zealand is at it again! They are trying to get my site taken down. Not going to happen.

Steve Kirsch's newsletter • 12 implied HN points • 26 Jan 24
🏥 Health & Wellness Public Health Censorship Vaccines Data Privacy Medical Ethics
  1. Trying to hide public health information is never a good idea, especially when pushing a vaccine.
  2. Health New Zealand is attempting to censor information, but refuses to explain data discrepancies.
  3. Public discussion and transparency are crucial when it comes to public health issues like this.

Would you like some surveillance capitalism with your sandwich?

The Joyous Struggle • 197 implied HN points • 14 Oct 22
🕹 Technology Data Privacy Consumer Rights Digital Currency Data security
  1. Technology and capitalism are intertwined, impacting our daily experiences and evolving our lived realities.
  2. Surveillance capitalism, based on data extraction and manipulation, can lead to a loss of personal control and invasion of privacy.
  3. The normalization of compulsory data sharing in society poses a threat to individual autonomy and shifts the balance from citizens to consumers.

Must Learn AI Security Part 22: Machine Learning Attacks Against AI

Rod’s Blog • 39 implied HN points • 18 Oct 23
🕹 Technology AI Security Machine Learning Cybersecurity Data Privacy Model Training
  1. Machine Learning attacks against AI exploit vulnerabilities in AI systems to manipulate outcomes or gain unauthorized access.
  2. Common types of Machine Learning attacks include adversarial attacks, data poisoning, model inversion, evasion attacks, model stealing, membership inference attacks, and backdoor attacks.
  3. Mitigating ML attacks involves robust model training, data validation, model monitoring, secure ML pipelines, defense-in-depth, model interpretability, collaboration, regular audits, and monitoring performance, data, behavior, outputs, logs, network activity, infrastructure, and setting up alerts.

The "Three-Hills" Model for evaluating GPT startups

Assisted Everything • 110 HN points • 27 Mar 23
🕹 Technology Startups Artificial Intelligence Business Models Data Privacy
  1. GPT-powered startups need to overcome 3 obstacles for long-term success: Productivity Enhancements, Non zero-sum-game Value, and Moat = Value from Context.
  2. Applications of GPT fall into 3 levels of success: Productivity Hill, Tug-of-War Valley, and Value Peak.
  3. To succeed, GPT companies must reach Level III by building a moat that generic GPT-applications can't compete on.

How much would you pay not to use Twitter? Or vice-versa?

Social Warming by Charles Arthur • 78 implied HN points • 19 May 23
🕹 Technology Social media AI Apps Subscription Models Data Privacy
  1. Consider how much you would pay or what special features you would require to access social networks like Facebook, Twitter, TikTok, Instagram, or Snapchat.
  2. Offering the right features for paid subscriptions is crucial for social networks to succeed, as seen in the example of Twitter Blue.
  3. Understanding what users are willing to pay for on social networks is important, especially as the industry shifts towards freemium models.

Tracking/Measurement/Collection/Creation - what was the question again?

timo's substack • 78 implied HN points • 26 Mar 23
🕹 Technology Data Engineering Analytics Data Privacy Data Collection
  1. Finding a niche involves identifying what you enjoy and what is consistently needed in your projects.
  2. Tracking data is easily understood, but may have a negative reputation due to its association with web tracking practices.
  3. Measurement is a broader term than tracking, and data collection is often overlooked in the data engineering process.

Deconstructing the National Cybersecurity Strategy

Deploy Securely • 78 implied HN points • 03 Mar 23
🕹 Technology Cybersecurity Regulation Government Policy Data Privacy Business strategy
  1. The National Cybersecurity Strategy emphasizes the need for businesses to adapt their cybersecurity strategies accordingly.
  2. The strategy addresses the importance of defending critical infrastructure and the need to streamline cybersecurity regulations.
  3. Business leaders should be aware of potential regulatory changes impacting software security and consider the implications of a national cyber insurance backstop.

Governing by apocalypse

Antimaterie • 39 implied HN points • 31 May 23
🕹 Technology AI Information Control Manipulation Social Impact Data Privacy
  1. The fear of AI wiping out humanity is being used as a scare tactic by elites to gain control of the field.
  2. Governments are worried about losing control as individuals gain access to vast knowledge through AI applications.
  3. The power of AI to extract knowledge from information poses a threat to established narratives and information control by governments and elites.

Why I don't like (some) smart devices

Fulton’s ramblings • 19 implied HN points • 03 Aug 23
🕹 Technology Smart Devices Consumer Tech Internet of Things Tech Trends Data Privacy
  1. Smart devices with practical uses enhance lives, like doorbells or thermostats.
  2. Be cautious of useless smart features that can lead to unnecessary data collection.
  3. Companies are adding non-essential smart features to products to charge extra and surveil users; consumers can push back by being selective in purchases and expressing opinions.

TikTok, capitalism, and whose side are you on?

Alex's Personal Blog • 1 HN point • 13 Mar 24
🇺🇸 U.S. Politics Foreign Relations Technology Economy Government Data Privacy
  1. There's a big debate about TikTok and its data privacy, with concerns around Chinese ownership and government access.
  2. Key figures like Brendan Carr and Elon Musk have contrasting views on TikTok's presence in the US.
  3. The suggestion is to divest TikTok from its Chinese owner rather than outright ban it, to address concerns while maintaining its popularity.

Banning Open-Weight Models Would be a Disaster

Coding on Autopilot • 1 HN point • 08 Mar 24
🕹 Technology AI Ethics Regulation Open Source Data Privacy Risk management
  1. Banning open-weight models could be harmful as it gives individuals, academics, and researchers the ability to innovate and contribute positively.
  2. Open models level the playing field, democratize access to AI technology, and foster competition, innovation, and economic growth.
  3. Regulations should focus on large organizations rather than restricting access to individuals; the focus should be on punishing those who misuse AI technology.

Big Tech Platforms’ Entry into Healthcare and Education

Platform Papers • 59 implied HN points • 13 Jul 22
🕹 Technology Big Tech Data Analytics Regulations Data Privacy Healthcare
  1. Big Tech platforms like Google and Apple enter regulated industries like healthcare and education by capturing sensitive data, leading to concerns about privacy and competition.
  2. In highly regulated industries, Big Tech firms focus on data capture and analysis, offering insights that can significantly impact incumbent service providers and drive innovation.
  3. For platform strategy, success in regulated industries hinges on superior data analytics capabilities, strategies to access and use sensitive data, and balancing stakeholder interests like privacy and security.

Missing: billions of views (+ weekly update)

12challenges • 1 HN point • 23 Feb 24
🕹 Technology Social media Data Privacy Tech Platforms
  1. We do not know the most viewed content on social media, despite billions of collective views on public videos.
  2. A paper found that a large percentage of views on YouTube came from a small percentage of videos, indicating a power law distribution.
  3. Strategically asking platforms to reveal their most viewed public content under specific laws is a way to unlock future data access requests and understand the influence algorithms have on information consumption.