The hottest Data Protection Substack posts right now

And their main takeaways
Category
Top Technology Topics

The State of Non-Human Identity (NHI) Security

Resilient Cyber • 59 implied HN points • 12 Sep 24
🕹 Technology Cybersecurity Cloud Security Data Protection Identity Management
  1. Organizations feel anxious and lack confidence in securing Non-Human Identities, mainly because they know about the risks but don't have good strategies to manage them.
  2. Many companies struggle with basic security practices like managing service accounts and API keys, which puts them at risk since they often don't review permissions regularly.
  3. There is a strong interest in investing in better tools and solutions for NHI security, as businesses recognize their current weaknesses and want to improve their defenses.

⚡️ Top 10 news of the week

digitalhealthinsider • 39 implied HN points • 04 Oct 24
🏥 Health Politics Digital Health Healthcare Trends Privacy issues Data Protection Tech Innovations
  1. Many healthcare organizations are facing challenges with ransomware attacks, which is a serious concern for data safety.
  2. Having a strong focus on data protection and compliance can help healthcare companies manage these risks better.
  3. Staying updated on healthcare trends and conferences is important for those involved in the industry.

How ADR Addresses Gaps in the Detection & Response Landscape

Resilient Cyber • 99 implied HN points • 20 Aug 24
🕹 Technology Cybersecurity Software Application Security Data Protection Cloud Computing
  1. Application Detection & Response (ADR) is becoming important because attackers are increasingly targeting application vulnerabilities. This shift means we need better tools that focus specifically on applications.
  2. Modern software systems are complex, making it hard for traditional security tools to catch real threats. That's why understanding how these systems interact can help identify harmful behavior more effectively.
  3. There’s a big push to find and fix security issues early in the development process. However, this focus on early detection often misses what's actually happening in real-life applications, making runtime security like ADR crucial.

There's Another Kind of Virus Out There That Can Ruin Your Life.

OK Doomer • 111 implied HN points • 16 Dec 24
🕹 Technology Cybersecurity Data Protection Digital Privacy Online Security
  1. Data protection often feels like it's entirely your responsibility. You have to keep track of passwords and pay for security services to avoid getting hacked.
  2. Hackers can clone websites and impersonate real companies, making it hard to tell what's safe online. This has become a serious issue that many people don’t realize.
  3. There's a frustrating trend where the emphasis is on personal responsibility for cybersecurity, instead of holding companies and platforms accountable for our safety.

Cybersecurity News Roundup

Vigilainte Newsletter • 19 implied HN points • 09 Sep 24
🕹 Technology Cybersecurity Software Data Protection Ransomware Vulnerabilities
  1. Popular travel sites have serious security problems that could put users at risk. It's important for them to fix these issues soon.
  2. Planned Parenthood confirmed a cyberattack, and a ransomware group claimed they did it. This shows how vulnerable even established organizations can be.
  3. CISA has released a warning about RansomHub ransomware and is urging people to be aware of it. Staying informed about these threats is essential for everyone.
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Navigating AI Risks with ATLAS

Resilient Cyber • 19 implied HN points • 04 Sep 24
🕹 Technology AI safety Cybersecurity Risk management Data Protection Machine Learning
  1. MITRE's ATLAS helps organizations understand the risks associated with AI and machine learning systems. It provides a detailed look at what attackers might do and how to counteract those strategies.
  2. The ATLAS framework includes various tactics and techniques that cover the entire lifecycle of an attack, from reconnaissance to execution and beyond. This helps businesses prepare better defenses against potential threats.
  3. Using tools like ATLAS and its companion resources can help secure AI adoption and development by highlighting vulnerabilities and suggesting mitigations to reduce risks.

The Ethics of Cybersecurity

Rod’s Blog • 615 implied HN points • 17 Jan 24
🕹 Technology Cybersecurity Ethics Privacy Data Protection Encryption
  1. Cybersecurity is crucial for protecting personal information, financial assets, intellectual property, critical infrastructure, and national security.
  2. Ethical considerations in cybersecurity include principles like confidentiality, integrity, availability, and justice.
  3. Balancing security and privacy involves strategies like risk-based approaches, data minimization, using encryption, respecting privacy rights, and staying informed about cybersecurity trends.

How AI Will Be Used for Cyber Security in 2024

Rod’s Blog • 615 implied HN points • 29 Dec 23
🕹 Technology AI Cyber Security Machine Learning Data Protection
  1. Cyber security is crucial in today's digital era due to increasing complexity of attacks, making traditional defense methods inadequate.
  2. Artificial intelligence (AI) is becoming essential in fighting cyber threats by mimicking human intelligence in tasks like learning and decision-making.
  3. In 2024, AI will play a vital role in cyber security, aiding in threat detection, prevention, response, and recovery.

Security for AI: A lot is unknown

Frankly Speaking • 203 implied HN points • 26 Nov 24
🕹 Technology AI Security Data Protection Risk management Tooling Policies
  1. Understanding AI is crucial for its security. If you don't understand how something works, it's hard to protect it.
  2. The basic security issues with AI are similar to existing security practices. Protecting data and conducting regular audits can help.
  3. Setting policies for AI security is important. This includes knowing what data is used and how internal AI tools are developed.

You can't teach someone to swim when they're drowning

Resilient Cyber • 119 implied HN points • 16 Apr 24
🕹 Technology Cybersecurity Software Engineering Data Protection Software Development
  1. It's important to build software with security in mind from the start, rather than trying to add it in later. This 'Secure-by-Design' approach can prevent many issues down the line.
  2. Software suppliers should take responsibility for the security of their products, as their decisions affect a lot of users. Customers shouldn't always have to 'patch and fix' flawed products themselves.
  3. The rapid growth of known software vulnerabilities is overwhelming for organizations. Instead of just telling them to fix everything quickly, we should push for better, more secure products from the beginning.

Danny Hillis On ZPR

News Items • 314 implied HN points • 26 Sep 23
🕹 Technology Internet Security Cybersecurity Data Protection Innovation
  1. Danny Hillis designed the Connection Machine supercomputer based on the structure of the human brain, with a unique architecture that allowed for fast data processing.
  2. Hillis has shifted his focus to internet security, leading a team to develop ZPR (Zero-trust Packet Routing) to make data more secure by requiring packets to carry digital passports for verification.
  3. If widely adopted, ZPR could improve cybersecurity, protect sensitive data, and make the world's economy more secure by reducing the impact of cyberattacks.

Let's Talk About Malicious Browser Extensions: Part 2

!important • 43 implied HN points • 13 Feb 25
🕹 Technology Cybersecurity Web Security Browser Extensions Data Protection Risk management
  1. Malicious browser extensions can steal sensitive information like passwords and cookies. This puts users at risk of losing their accounts and personal data.
  2. In workplaces, these risks are even more serious because a breach can affect the whole organization and its customers. It's crucial for businesses to be aware of these dangers.
  3. Many security professionals need better training and tools to recognize the risks of browser extensions and to protect their systems effectively.

CISA and NCSC's Take on Secure AI Development

Resilient Cyber • 179 implied HN points • 01 Dec 23
🕹 Technology AI Security Software Development Cybersecurity Data Protection Risk management
  1. CISA and NCSC released guidelines for secure AI development that focus on unique security risks and the responsibilities of both AI providers and users. It's important for organizations to understand who is responsible for protecting AI systems.
  2. The guidelines emphasize practices like threat modeling and raising awareness of AI risks during the design phase. This helps organizations build secure systems by understanding potential threats upfront.
  3. Security doesn't stop at deployment; ongoing monitoring and incident response are crucial for maintaining safe AI operations. Companies need to keep an eye on how their AI systems behave and be ready to respond to any security incidents.

Top 10 Cybersecurity Misconfigurations

Resilient Cyber • 179 implied HN points • 15 Oct 23
🕹 Technology Cybersecurity Information Systems Cloud Security Network Security Data Protection
  1. Many data breaches happen because of misconfigurations. This means that fixing these issues is often more important than just finding software vulnerabilities.
  2. Organizations need to regularly update their software and manage user privileges better. This can help prevent attackers from taking advantage of weak points in the system.
  3. Monitoring network activity is crucial. Without it, businesses may not realize they are being attacked and might suffer more damage.

Fearing the sheriff more than the bandits

Deploy Securely • 157 implied HN points • 21 Jul 23
🕹 Technology Cybersecurity Compliance Risk management Government Regulation Data Protection
  1. The fear of repercussions from authorities like prosecutors and regulatory agencies is often greater than that from hackers.
  2. Cybersecurity professionals and their teams face severe consequences for non-compliance, even if the breach was not entirely their fault.
  3. A flawed liability regime and focus on performative compliance rather than actual security measures contribute to the prioritization of checking boxes over protecting data.

Must Learn AI Security Part 17: Social Engineering Attacks Against AI

Rod’s Blog • 99 implied HN points • 28 Sep 23
🕹 Technology AI Security Social Engineering Cybersecurity Artificial Intelligence Data Protection
  1. Social engineering attacks against AI involve manipulating AI systems using deception and psychological tactics to gain unauthorized access to data.
  2. Strategies to mitigate social engineering attacks include developing AI systems with security in mind, monitoring system performance, and educating users about potential risks.
  3. Monitoring aspects like AI system performance, input data, user behavior, and communication channels can help detect and respond to social engineering attacks against AI.

Must Learn AI Security Part 1: Prompt Injection Attacks Against AI

Rod’s Blog • 79 implied HN points • 01 Aug 23
🕹 Technology AI Security Data Protection Monitoring Mitigation
  1. Prompts are crucial for AI as they shape the output of language models by providing initial context and instructions.
  2. Prompt injection attacks occur when malicious prompts are used to manipulate AI systems, leading to biased outputs, data poisoning, evasion, model exploitation, or adversarial attacks.
  3. To defend against prompt injection attacks, implement measures like input validation, monitoring, regular updates, user education, secure training, and content filtering.

The Impact of Social Media on Cybersecurity

Rod’s Blog • 39 implied HN points • 27 Jan 24
🕹 Technology Social media Cybersecurity Privacy Online safety Data Protection
  1. Social media is a significant source of cyber threats, as cybercriminals use it to steal personal information, spread malware, and launch phishing attacks.
  2. Social media platforms are vulnerable to cybercrime due to the vast user base they have, making them attractive targets for cybercriminals.
  3. To stay safe on social media, it's important to be cautious about what you share, use strong passwords, be wary of suspicious links, keep software updated, and utilize two-factor authentication.

The EU Cyber Resilience Act: Manufacturer Perspective

burkhardstubert • 59 implied HN points • 06 Nov 23
🕹 Technology Cybersecurity Regulations Manufacturing Data Protection Software Development
  1. The EU Cyber Resilience Act aims to improve the security of products with digital elements against cyber attacks. This is because many such products are currently vulnerable and offer little protection.
  2. Manufacturers are responsible for ensuring their products remain secure throughout their lifecycle. They must fix vulnerabilities quickly and provide clear information about any risks.
  3. There are strict penalties for manufacturers who do not comply with the Act, with fines that can be very high. Companies need to start improving their security practices to avoid these penalties.

How SMS Fraud Works and How to Guard Against It

Mindful Musings • 206 HN points • 28 Feb 23
🕹 Technology Security Fraud Engineering Data Protection API
  1. Understanding how SMS fraud works involves premium phone numbers, gaming for profit, and exploiting vulnerabilities in services.
  2. Protecting against SMS fraud can involve measures like obfuscating endpoints, blocking sketchy IPs, and implementing rate-limiting on SMS sending.
  3. Twilio has the potential to offer SMS fraud protection using data on fraudulent numbers and carriers.

Lừa đảo trên mạng

Thái | Hacker | Kỹ sư tin tặc • 219 implied HN points • 26 Dec 21
🕹 Technology Cybersecurity Scams Internet regulation Data Protection
  1. Criminals invest in technology and human resources to personalize online scams, causing significant financial losses.
  2. Online scams affect individuals of all levels of knowledge and expertise, emphasizing the need for better cybersecurity measures to protect users.
  3. Balancing security and user experience is crucial in developing effective solutions to combat various types of online fraud.

Must Learn AI Security Compendium 13: Zero Trust for AI

Rod’s Blog • 39 implied HN points • 24 Oct 23
🕹 Technology AI Security Cybersecurity Data Protection Identity Management
  1. Zero Trust for AI involves continuously questioning and evaluating AI systems to ensure trustworthiness and security.
  2. Key principles of Zero Trust for AI include data protection, identity management, secure development, adversarial defense, explainability/transparency, and accountability/auditability.
  3. Zero Trust for AI is a holistic framework that requires a layered security approach and collaboration among various stakeholders to enhance the trustworthiness of AI systems.

Must Learn AI Security Compendium 9: The Argument for Safe AI

Rod’s Blog • 39 implied HN points • 11 Oct 23
🕹 Technology AI Security Ethical AI Data Protection Transparency
  1. AI Security and Responsible AI are related and play a critical role in ensuring the ethical and safe use of artificial intelligence.
  2. By intertwining AI Security and Responsible AI, organizations can build AI systems that are trustworthy, reliable, and beneficial for society.
  3. Challenges and opportunities in AI security and responsible AI include protecting data, addressing bias and fairness, ensuring transparency, and upholding accountability.

Must Learn AI Security Part 14: Inference Attacks Against AI

Rod’s Blog • 39 implied HN points • 18 Sep 23
🕹 Technology AI Security Privacy Data Protection Security Measures
  1. An inference attack against AI involves gaining private information from a system by analyzing its outputs and other available data.
  2. There are two main types of inference attacks: model inversion attacks aim to reconstruct input data, while membership inference attacks try to determine if specific data points were part of the training dataset.
  3. To mitigate inference attacks, techniques like differential privacy, federated learning, secure multi-party computation, data obfuscation, access control, and regular model updates can be used.

Must Learn AI Security Part 7: Membership Inference Attacks Against AI

Rod’s Blog • 39 implied HN points • 24 Aug 23
🕹 Technology AI Security Privacy Data Protection Machine Learning
  1. Membership Inference Attacks against AI involve attackers trying to determine if a specific data point was part of a machine learning model's training dataset by analyzing the model's outputs.
  2. These attacks occur in steps like data collection, model access, creating shadow models, analyzing model outputs, and making inferences based on the analysis.
  3. The consequences of successful Membership Inference Attacks include privacy violations, data leakage, regulatory risks, trust erosion, and hindrance to data sharing in AI projects.

Brief: How Microsoft Secures Its Copilots

Rod’s Blog • 19 implied HN points • 01 Feb 24
🕹 Technology AI Privacy Security Data Protection Machine Learning
  1. Microsoft's Copilot for Microsoft 365 adheres to strict data privacy and security regulations like GDPR, ensuring organizational data confidentiality.
  2. The Copilot system integrates large language models with Microsoft Graph and 365 apps, maintaining enterprise-level data protection during processing.
  3. By utilizing the Azure OpenAI Service controlled by Microsoft, Copilot ensures that business data is not used to train models, offering organizations control over their data processing.

Sneaky strategies

The Uncertainty Mindset (soon to become tbd) • 59 implied HN points • 23 Mar 23
💼 Business Public Sector Innovation Data Protection Big Tech Strategy
  1. It's important for innovation to understand and accept uncertainty, especially in public sector work. When organizations ignore not-knowing, they hinder their ability to create new solutions.
  2. Many critical problems in the public sector are complex and difficult to tackle, so innovation is crucial. However, there are obstacles that make it hard for these organizations to embrace uncertainty.
  3. Using creative, low-key tactics can help public sector organizations overcome barriers to innovation. These 'sneaky strategies' can effectively introduce new ways of thinking about challenges.

11 steps to keep Meta from stealing your data to train AI

Ladyparts • 2 HN points • 18 Jun 24
🕹 Technology Privacy Social media AI Data Protection
  1. You only have until June 26, 2024 to opt out of Meta using your data for AI training - act before the deadline.
  2. The process to opt out of Meta's data use can be confusing and intentionally complicated - it's important to follow the steps carefully.
  3. The steps provided include logging into Facebook on a laptop, navigating through privacy settings, and being persistent in filling out the opt-out form.

You're Vulnerable - And Malicious Actors Know It

Resilient Cyber • 19 implied HN points • 10 Apr 23
🕹 Technology Cybersecurity Vulnerabilities Software Data Protection
  1. Many organizations have old vulnerabilities in their systems that are not being fixed. These vulnerabilities can be easily exploited by hackers.
  2. There are millions of public instances still vulnerable to known security issues, and a significant number of these vulnerabilities have existed for over five years.
  3. The way we manage and address these vulnerabilities isn't working well. Companies need to improve their systems to keep up with the increasing number of vulnerabilities and threats.

An Introduction to Privacy by Design

Privacy by Design: The Practitioner's Handbook • 2 HN points • 27 Mar 23
🕹 Technology Privacy Policy Data Protection
  1. Privacy by design is crucial in the digital world to protect personal information.
  2. Privacy by design principles involve proactive measures like embedding privacy into design and respecting user privacy.
  3. Implementing privacy by design includes developing a transparent privacy policy, integrating privacy into design, addressing privacy risks, and continuous monitoring.

GDPR Notice Requirements

Privacy by Design: The Practitioner's Handbook • 1 HN point • 26 Apr 23
🕹 Technology Privacy Policy Data Protection
  1. The GDPR applies to organizations operating in the EU or processing data of individuals there, requiring compliance with specific regulations.
  2. Organizations must provide detailed information in their privacy policies under GDPR regulations, including identity, contact details, data processing purposes, recipients, and data subject rights.
  3. Complying with GDPR notice requirements helps build trust and transparency with customers while ensuring data protection compliance.

Chữ A đầu tiên: authentication

Thái | Hacker | Kỹ sư tin tặc • 19 implied HN points • 17 Jul 07
🕹 Technology Cybersecurity Authentication Data Protection Information Security
  1. Authentication is the first step in the security realm, involving proving if you are who you claim to be through factors like something you have, something you are, something you know, or something you trust.
  2. Using multi-factor authentication, especially two or three factors, enhances security by requiring multiple types of proof for identity verification.
  3. Security measures in authentication should balance safety and convenience, as perfect security doesn't exist. Implementing n-factor authentication beyond three can become too inconvenient.

Your licence to operate personal data

Privacy by Design: The Practitioner's Handbook • 0 implied HN points • 23 Mar 23
🕹 Technology Privacy Data Protection Ethics Trust Compliance
  1. Privacy is essential for protecting personal information, ensuring autonomy, and upholding fundamental rights and freedoms.
  2. Safeguarding privacy is the responsibility of every organization, involving legal obligations, ethical considerations, and the need to maintain trust with customers and partners.
  3. Implementing privacy by design principles, starting with a clear and comprehensive privacy policy, is crucial for organizations to maintain trust, accountability, and long-term success.

Boosting SASE with Automated Moving Target Defense (AMTD)

Phoenix Substack • 0 implied HN points • 18 Oct 23
🕹 Technology Cybersecurity Network Security Data Protection IT Infrastructure
  1. Automated Moving Target Defense (AMTD) makes it hard for cyber attackers by constantly changing the rules.
  2. AMTD hides vulnerabilities from attackers and reduces the time they spend inside your network.
  3. Integrating AMTD with SASE solutions can reduce attack surface, limit attack time, and strengthen your cybersecurity.

How to enjoy your SecondSelf Skinset Pro

Numb at the Lodge • 0 implied HN points • 11 Jun 23
🕹 Technology Artificial Intelligence Wearable Technology Data Protection Augmented reality Virtual reality
  1. Skinset Pro offers a new way to experience reality with real sensory impressions and without digital distractions.
  2. Data collected from Skinset Pro is used to create a SecondSelf AI that anticipates your needs and enhances your experience.
  3. Skinset Pro ensures privacy and offers assistance in case of issues, creating a unique and integrated personal experience.