The hottest Data security Substack posts right now

And their main takeaways
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Top U.S. Politics Topics

Data security should be making a comeback

Frankly Speaking • 254 implied HN points • 10 Jun 25
🕹 Technology Data security Cybersecurity Software Development Cloud Computing Artificial Intelligence
  1. Data security needs a fresh look because the way we use and manage data has changed a lot. With new technologies, protecting data is more complicated now.
  2. Current tools often struggle with identifying what data is sensitive and how to handle it properly. We need better solutions that help organizations use their data wisely while keeping it safe.
  3. Companies must rethink how they approach data risk. Creating clear guidelines on how data can be used could help in managing security while still allowing businesses to benefit from their data.

AI Haves and Have-Nots

Dana Blankenhorn: Facing the Future • 59 implied HN points • 23 Oct 24
🕹 Technology AI Innovation Internet Market Trends Data security
  1. AI tools are becoming more focused on specific markets rather than serving everyone broadly. Companies are looking for niche areas to make money instead of trying to compete with big players.
  2. Using AI will likely come with costs in the future, leading to a divide between those who can afford it and those who cannot. This shift could create a two-tiered internet experience.
  3. As AI and tech services become paywall-heavy, they may lose a lot of casual users, much like publications did when they went behind paywalls. This might limit access to quality information for many people.

Issue #10 - The Data Lifecycle

The Data Ecosystem • 159 implied HN points • 16 Jun 24
🕹 Technology Data science Data Management Data security Data Analysis Data Engineering Data Visualization
  1. The data lifecycle includes all the steps from when data is created until it is no longer needed. This helps organizations understand how to manage and use their data effectively.
  2. Different people and companies might describe the data lifecycle in slightly different ways, which can be confusing. It's important to have a clear understanding of what each term means in context.
  3. Properly managing data involves stages like storage, analysis, and even disposal or archiving. This ensures data remains useful and complies with regulations.

SB 1047 with Socialist Characteristics: China’s Algorithm Registry in the LLM Era

ChinaTalk • 355 implied HN points • 14 Nov 24
🕹 Technology AI Regulations Policy Analysis Data security Global Governance
  1. China has introduced strict rules for generative AI, requiring all output to reflect socialist values. This highlights the government's focus on controlling AI content that interacts with the public.
  2. There are two separate registration processes for algorithms in China: a simpler one for regular algorithms and a more complex one for generative AI. The more complicated process involves direct testing by authorities, making it tougher for companies to launch AI products.
  3. The regulatory environment is still evolving and can be confusing for companies. Some might face delays in getting their models approved, which could lead to a preference for targeting businesses over regular consumers.
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China's CCP-controlled 'Little Red Book' app drives home two messages: America stinks and China rules

The Dossier • 168 implied HN points • 17 Jan 25
🇺🇸 U.S. Politics Social media Censorship Privacy Data security Political propaganda
  1. The 'Little Red Book' app is heavily controlled by the Chinese government, promoting ideas like 'America stinks' and 'China rules'.
  2. Users experience strict censorship on sensitive topics, which is very different from American social media where more free expression is allowed.
  3. Downloading this app carries risks due to Chinese data laws that allow the government access to personal user data, posing privacy concerns for American users.

A Comprehensive Approach to Using LLMs

Gradient Flow • 519 implied HN points • 05 Oct 23
🕹 Technology Machine Learning Open Source Deployment Data security
  1. Starting with proprietary models through public APIs, like GPT-4 or GPT-3.5, is a common and easy way to begin working with Large Language Models (LLMs). This stage allows exploration with tools like Haystack.
  2. Transitioning to open source LLMs provides benefits like cost control, speed, and stability, but requires expertise in managing models, data, and infrastructure. Using open source LLMs like Llama models from Anyscale can be efficient.
  3. Creating custom LLMs offers advantages of tailored accuracy and performance for specific tasks or domains, though it requires calibration and domain-specific data. Managing multiple custom LLMs enhances performance and user experience but demands robust serving infrastructure.

Data Wars and the DOJ

ChinaTalk • 207 implied HN points • 12 Nov 24
🇺🇸 U.S. Politics Data security National Security Public Policy
  1. The DOJ is creating new data security rules to help protect American personal data from foreign threats. This is important because foreign adversaries could use sensitive information against us.
  2. Companies need to be careful about how they handle sensitive data, especially when dealing with countries considered 'adversarial'. There will be strict rules about who they can sell data to and how to keep it secure.
  3. Public feedback is vital in shaping these new rules. The DOJ wants companies to share their thoughts so they can finalize a plan that protects national security without harming the economy.

Beyond the attention economy, true power lies in access to individuals

storyvoyager • 7 implied HN points • 21 Jan 25
🕹 Technology Social media Digital Privacy Data security
  1. Access to individuals is the key to power in today's digital world. Just like past authoritarian regimes used information to control people, social media platforms use our data for economic gain.
  2. TikTok's popularity raises concerns about privacy and power. Its ability to collect user data makes it a potential national security threat, highlighting how digital platforms can influence politics and society.
  3. The future of social media could either deepen inequalities or promote positive change. As technology evolves, we need to decide how we want to use these platforms to influence our lives and the world.

NIST's "Strategies for Integration of Software Supply Chain Security in DevSecOps CI/CD Pipelines"

Resilient Cyber • 159 implied HN points • 13 Feb 24
🕹 Technology Cybersecurity Software Development Cloud Computing DevOps Data security
  1. Software supply chain attacks are on the rise, so companies need to protect their processes from potential risks. Understanding these threats is key for organizations that rely on software.
  2. NIST provides guidelines to help organizations improve their software security in DevSecOps environments. By following their advice, companies can ensure that their software development processes are safe from compromise.
  3. Implementing zero-trust principles and automating security checks during software development can greatly reduce the risk of attacks. This means controlling access and regularly checking for vulnerabilities throughout the development cycle.

Import AI 319: Sovereign AI; Facebook's weights leak on torrent networks; Google might have made a better optimizer than Adam!

Import AI • 439 implied HN points • 06 Mar 23
🕹 Technology AI Research Cloud Computing Data security Partnerships Innovation
  1. Google researchers achieved promising results by scaling a Vision Transformer to 22B parameters, showcasing improved alignment to human visual perception.
  2. Google introduced a potentially better optimizer called Lion, showing outstanding performance across various models and tasks, including setting a new high score on ImageNet.
  3. A shift toward sovereign AI systems is emerging globally, driven by the need for countries to develop their own AI capabilities to enhance national security and economic competitiveness.

Net Positive?

Technically Optimistic • 39 implied HN points • 03 May 24
🕹 Technology Data security AI Regulatory Oversight
  1. Net neutrality ensures equal access to internet services without discrimination or throttling by ISPs.
  2. Government oversight aims to hold providers accountable for service quality, security, and consumer data protection.
  3. Allowing ISPs to control access and pricing without regulation could widen the privilege gap and hinder access to essential services.

Understand how generative AI tools retain your data without dissecting their terms of service

Deploy Securely • 78 implied HN points • 09 Feb 24
🕹 Technology AI Data security Legal Compliance
  1. New products and services in the AI world frequently emerge, making it challenging to keep track of them all.
  2. Excessive data retention poses security risks as well as legal implications.
  3. It is crucial to stay updated on the data retention policies of service providers to manage security and legal risks effectively.

How Privacy Policies Really Work

DeFi Education • 459 implied HN points • 25 Nov 22
🔮 Crypto Privacy Regulation Data security Blockchain Decentralization
  1. Companies must follow privacy laws like GDPR, which set strict rules on how to collect and use personal data. Breaking these rules can lead to big fines and even legal trouble for executives.
  2. Privacy policies are crucial because they inform users about what data is collected and how it is used. Companies are updating their privacy policies to reflect what they actually do with data.
  3. Using services like Metamask means sharing your data, like your IP address and Ethereum wallet address. It's essential to be cautious and consider using privacy tools to protect your information.

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.

Announcing the 2025 Cyber 150

The Security Industry • 21 implied HN points • 13 Jan 25
🕹 Technology Cybersecurity Data security Investment Software Development Threat intelligence
  1. The 2025 Cyber 150 list highlights the fastest growing midsize cybersecurity companies, showcasing how many of them have expanded significantly over the last year.
  2. Dopple was the standout performer, increasing its headcount by 217%, which shows that some companies can grow rapidly even in a competitive market.
  3. Overall, these companies have raised a total of $8.6 billion in funding, and their success attracts even more investment, allowing them to grow and hire more employees.

Y Combinator S23 Demo Day: AI & Dev Tools Dominate

Golden Pineapple • 158 implied HN points • 30 Aug 23
🕹 Technology AI Developer Tools Automation Fintech Data security
  1. 70% of the top YC S23 companies are focusing on AI and Developer Tools.
  2. Key trends from the YC S23 batch include AI and automation, developer-centric solutions, and financial compliance platforms.
  3. Top companies are showcasing a mix of AI-driven solutions, developer tools, fintech platforms, and a focus on user experience.

Introducing Masked-AI, An Open Source library that enables the usage of LLM APIs more securely

Adam’s Notes • 58 implied HN points • 30 Mar 23
🕹 Technology Open Source APIs Data security Python Machine Learning
  1. Use Masked-AI to securely access LLM APIs by replacing sensitive data with placeholders.
  2. Be cautious of sharing sensitive data with third-party APIs like OpenAI and consider privacy risks.
  3. Consider alternative models like Meta's Llama while waiting for self-hosted options to run large language models.

☎️ E20: The State of Privacy Enhancing Technology and The Era of “Shift-Up” (Feat. Karim Eldefrawy of Confidencial.io)

Let Us Face the Future • 119 implied HN points • 19 Oct 23
🕹 Technology Data security Cryptography Compliance Application Security
  1. Application-level security is crucial and there is a trend towards 'shift-up' in data security.
  2. Compliance with NIST standards is a significant factor for adoption in regulated industries.
  3. The NIST PQC standardization process will drive wider adoption of cryptographic tools.

Securing Data in an AI-First World with Microsoft Purview

Rod’s Blog • 19 implied HN points • 06 Feb 24
🕹 Technology Data security AI Microsoft Data Management Compliance
  1. Microsoft Purview is a top industry solution for managing data estates, offering governance, protection, and management.
  2. The latest enhancements to Microsoft Purview and Microsoft Defender focus on securing data in the context of generative AI, providing visibility, protection, and compliance controls.
  3. Organizations can leverage Microsoft Purview and Microsoft Defender to securely adopt AI, ensuring data protection while harnessing AI's full potential.

Do text embeddings perfectly encode text?

The Gradient • 42 implied HN points • 06 Mar 24
🕹 Technology Data security Text Analysis Information Storage
  1. Text embeddings may not perfectly encode text, raising concerns about security protocols for embedded data.
  2. The 'Vec2text' solution aims to accurately revert embeddings back into text, highlighting the need for data security measures.
  3. The challenge of recovering text from embeddings is being addressed in research, questioning the security of using embedding vectors for information storage and communication.

Colorado Farmers Win Their Right To Repair: Week in Repair

Fight to Repair • 19 implied HN points • 28 Apr 23
🇺🇸 U.S. Politics Legislation Antitrust Data security Climate Impact
  1. Colorado became the first state to pass a right to repair law for agricultural equipment. This empowers farmers to access information, parts, and software for repairs, reducing delays and costs.
  2. National and federal momentum is growing for right to repair laws. Federal legislation has gained more bipartisan support, with 8 new sponsors joining the REPAIR Act in the U.S. House of Representatives.
  3. Discarded routers still contain sensitive data, highlighting the need for more efficient data wiping methods. Research shows that a significant portion of discarded electronics can still be functional or in need of minor repairs, urging for mandatory reuse efforts.

20250112

Curious futures (KGhosh) • 4 implied HN points • 12 Jan 25
🕹 Technology AI Data security Innovation Digital Culture Workplace Trends
  1. Big food companies are using marketing tactics similar to those of Big Tobacco, especially targeting children and minorities, making processed foods addictive.
  2. Many employees feel overwhelmed by AI in the workplace, despite executives believing it will improve productivity. This added pressure is causing burnout for workers.
  3. There's an exciting future ahead with new technologies, like nuclear batteries, but we need to be careful about their use and how we protect data as we embrace innovation.

Security Is Not An Encryption Problem

Security Is • 1 HN point • 17 Jul 24
🕹 Technology Cybersecurity Encryption Cloud Computing Data security Compliance
  1. Encryption is important, but it's often treated as a checkbox in cloud environments. Many people believe that encryption at rest and in transit fully secures their data, but this isn't always the case.
  2. In cloud settings, especially with services like AWS, anyone with the right permissions can access data regardless of whether it's encrypted at rest. This means encrypting data on the storage level may not offer as much protection as people think.
  3. Instead of focusing heavily on encryption, businesses should prioritize their access controls and permissions. Properly managing who can access what data is often a much more critical aspect of security.

USAF Aircraft Maintenance Standard, xAI $6B, Postman Leak

The API Changelog • 3 implied HN points • 31 Dec 24
🕹 Technology AI Digital Tools Data security APIs Fintech
  1. ChatGPT and Sora experienced service outages, affecting many users. This situation shows how important it is for digital services to have strong systems, especially during busy times.
  2. The U.S. Air Force is creating a new standard for aircraft maintenance that will help both military and commercial aviation. This is a big step towards improving safety and efficiency in aircraft upkeep.
  3. A major leak revealed that thousands of Postman Workspaces exposed sensitive data like API keys. This highlights how crucial it is to secure digital information to prevent cyber risks.

Cảnh báo: lỗ hổng lộ thông tin gần 25 triệu người đã tiêm vaccine ở Việt Nam

Thái | Hacker | Kỹ sư tin tặc • 59 implied HN points • 04 Oct 21
🕹 Technology Data security Health tech Ethical Hacking Open Source
  1. Nearly 25 million people who have received vaccines in Vietnam may have had their personal information exposed due to security vulnerabilities in the national electronic health record system.
  2. The leaked information includes sensitive data like names, addresses, ID numbers, phone numbers, workplaces, and health insurance details, putting individuals at risk of privacy breaches and potential misuse.
  3. Discovering and addressing software vulnerabilities is crucial, but fixing underlying systemic issues, fostering transparency, and inviting expert collaboration upfront can prevent larger security breaches in the future.

Câu hỏi thường gặp về vụ lộ dữ liệu Sổ sức khỏe điện tử

Thái | Hacker | Kỹ sư tin tặc • 19 implied HN points • 06 Oct 21
🏥 Health & Wellness Data Breach Open Source Data security Privacy
  1. Data from COVID vaccination in Vietnam may end up in an electronic health book, including personal information like name, birthday, address, phone number, ID numbers - which can be exploited by malicious individuals.
  2. If personal data is compromised, it can lead to identity theft and phishing scams, where attackers use the information to impersonate for financial gain.
  3. Advocating for open-source systems in COVID apps can increase security by allowing experts to assess and enhance the products, potentially preventing data breaches and vulnerabilities.

Scale Was All We Needed, At First

AI Acumen • 1 HN point • 10 Feb 24
🕹 Technology Artificial Intelligence Data security Ethics Computer Science Innovation
  1. Speculative fiction vignette explores a possible path to AGI by January 2025, highlighting the role of scale in AI advancements.
  2. The story reveals how advancements in transformers and fine-tuning algorithms led to the rapid progress in AI, ultimately culminating in the creation of a powerful AGI model.
  3. Security concerns, alignment challenges, and the potential societal impacts of powerful AI systems are portrayed, emphasizing the need for caution and preparedness in the face of advanced technology.

Secure Enclaves

Why Now • 5 implied HN points • 03 Apr 23
🕹 Technology Cybersecurity Encryption Cloud Computing Data security Hardware
  1. Security is a key area for innovation with a focus on problem-solving and wedging opportunities against incumbents
  2. Encrypting data in-use is a challenge in cybersecurity, with solutions like homomorphic encryption and secure enclaves emerging
  3. Secure Enclaves are highly-controlled environments that validate code execution cryptographically, offering a way to protect data in-use