The hottest Data Protection Substack posts right now

And their main takeaways
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Top Technology Topics

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.

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.

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.

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.
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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.

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.

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.

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.

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
  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.

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.

Don't Get Hacked! Top Security Essentials for Software Developers

Brain Bytes • 0 implied HN points • 04 Oct 23
🕹 Technology Security Encryption Data Protection Cybersecurity
  1. Security in software development is crucial to protect applications and users from sophisticated cyber-attacks.
  2. Implement HTTPS encryption to safeguard data transmitted between the user's browser and the server.
  3. Protect user data by employing hashing and encryption methods, such as bcrypt, to secure passwords, thus preventing unauthorized access.

Unlocking the Secrets of GDPR Compliance in IT Outsourcing

CodeLink’s Substack • 0 implied HN points • 01 Aug 23
🕹 Technology Data Protection Security Measures Data Breaches
  1. GDPR is a crucial regulation that transforms how organizations handle personal data globally.
  2. Understanding key GDPR terminology and principles is essential for ensuring compliance and data protection.
  3. GDPR compliance in IT outsourcing requires careful consideration of roles, responsibilities, and implementing key requirements.

PCSA Releases Framework for Data Protection and Flow Security Regulation

CyberSecurityMew • 0 implied HN points • 18 Jun 23
🕹 Technology Cybersecurity Data Protection
  1. The PCSA released a comprehensive framework for data protection and flow security regulation after years of collaboration and refinement with industry experts.
  2. This framework was developed under the guidance of the Information Security Professional Committee of the China Information Association and other stakeholders.
  3. The framework proposes regulations based on best practices in data security governance from various industries during the 13th Five-Year Plan and beyond.

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.

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.