The hottest Cybersecurity Substack posts right now

And their main takeaways
Category
Top Technology Topics

HN blogs - 1/11/24

HackerNews blogs newsletter • 59 implied HN points • 02 Nov 24
🕹 Technology Software Engineering Data Analysis Cybersecurity Programming
  1. Measuring technical debt is crucial for leaders, especially CTOs. It helps in understanding and managing the challenges in software development.
  2. Freezing CEO salaries during layoffs can create a fairer work environment. It shows accountability and may protect jobs for regular employees.
  3. Life shouldn't solely be based on statistics. Everyone's experiences are unique and can't be fully represented by numbers.

Everything I warned about in Taming Silicon Valley is rapidly becoming our reality

Marcus on AI • 7114 implied HN points • 11 Feb 25
🕹 Technology Artificial Intelligence Regulation Innovation Cybersecurity Ethics
  1. Tech companies are becoming very powerful and are often not regulated enough, which is a concern.
  2. People are worried about the risks of AI, like misinformation and bias, but governments seem too close to tech companies.
  3. It's important for citizens to speak up about how AI is used, as it could have serious negative effects on society.

How security teams fail

lcamtuf’s thing • 8774 implied HN points • 12 Feb 25
🕹 Technology Information Security Cybersecurity Risk management Organizational Structure Corporate Governance
  1. Many companies don't prioritize hiring security teams until after a major security incident happens. This means their first security personnel often lack experience to build strong security programs.
  2. Over time, security teams can become rigid and focused on their own tasks rather than aligning with broader business goals. This may lead to them missing urgent risks.
  3. When a major breach occurs, it can finally highlight the weaknesses in security strategies. This often leads to a change in team structure and a chance to improve communication within the company.

Exclusive: Trump Administration Launches Probe Into Yale’s Use of Hacked EJMR Data

Karlstack • 274 implied HN points • 10 Jun 25
🇺🇸 U.S. Politics Federal Policy Higher education Cybersecurity Data Privacy Social justice
  1. Yale University is under investigation for using data obtained through hacking an economics forum. This raises questions about the legality of their actions.
  2. The hackers from Yale believe their actions were justified in the name of social justice, arguing that they were revealing sexism and racism in the economics field.
  3. The situation highlights serious issues around digital privacy and academic integrity, especially as universities may face legal consequences for such actions.
Get a weekly roundup of the best Substack posts, by hacker news affinity:

CIA-adjacent VC community convenes in Boston during ice storm

All-Source Intelligence Fusion • 691 implied HN points • 07 Feb 25
🇺🇸 U.S. Politics Intelligence Venture Capital Cybersecurity Defense Technology Policy
  1. A group of former CIA members and venture capitalists met in Boston to discuss new tech ideas for military and safety purposes. They talked about big topics like cybersecurity and defense technology.
  2. One interesting pitch was about using micro nuclear reactors to power U.S. military bases. They also discussed how these reactors could be involved in cryptocurrency mining.
  3. The importance of developing U.S. technology to stay competitive against countries like China was a hot topic. Everyone agreed that the U.S. must innovate to keep up.

Humanity’s “Oh shit!” AI moment?

Marcus on AI • 6639 implied HN points • 12 Dec 24
🕹 Technology Artificial Intelligence Machine Learning Cybersecurity Ethics Regulation
  1. AI systems can say one thing and do another, which makes them unreliable. It’s important not to trust their words too blindly.
  2. The increasing power of AI could lead to significant risks, especially if misused by bad actors. We might see more cybercrime driven by these technologies soon.
  3. Delaying regulation on AI increases the risks we face. There is a growing need for rules to keep these powerful tools in check.

9 healthcare cybersecurity companies and startups​ leading the way

digitalhealthinsider • 19 implied HN points • 30 Oct 24
🕹 Technology Cybersecurity Healthtech Data Privacy Innovation Startups
  1. Healthcare is a prime target for cybercriminals because they seek valuable information like patient records. Organizations are investing more in cybersecurity to protect this sensitive data.
  2. The cybersecurity market is rapidly growing, with projected revenues hitting $185.70 billion. This highlights the increasing demand for strong security measures in healthcare.
  3. There are several companies leading in healthcare cybersecurity, providing innovative solutions to tackle emerging threats and protect important data efficiently.

China Can Cause Blackouts In US And Europe Through Solar Inverter Technology, Suggest Officials

Michael Shellenberger • 1105 implied HN points • 16 May 25
🕹 Technology Infrastructure Cybersecurity Renewable Energy International relations Military Strategy
  1. Chinese solar inverters can be remotely controlled, raising fears about their use in the US and Europe. This means they could shut down power systems unexpectedly.
  2. There are concerns that Chinese companies must cooperate with their government, which might expose critical infrastructure to risks. This includes sharing data or giving access to foreign authorities.
  3. The growth of solar energy could actually make the power grid more vulnerable to blackouts. More connections might create more weak points that could be targeted in a conflict.

Witnessing Creative Destruction

Points And Figures • 1039 implied HN points • 27 Jan 25
🕹 Technology AI Innovation Competition Market Trends Cybersecurity
  1. China released a new AI engine that outperforms existing models in the U.S., marking a significant step in AI innovation. This change shows how quickly tech landscapes can shift and the importance of staying competitive.
  2. To succeed in the current tech environment, startup founders should focus on wisely managing their funding and raising just enough money to reach their goals. It's important to avoid letting pride interfere with practical decision-making.
  3. The key to advancing AI and technology is competition, not regulation. Embracing competition can help improve products and services, keeping innovation alive and thriving.

Uh, Oh, Again: Homeland Security Role in Bizarre Election Day "Tabletop Exercise" Denied

TK News by Matt Taibbi • 7968 implied HN points • 29 Oct 24
🇺🇸 U.S. Politics Election Integrity Government Agencies Cybersecurity Disinformation Public Perception
  1. The Department of Homeland Security's role in a planned cybersecurity exercise on Election Day was denied, creating confusion about their involvement.
  2. Senator Rand Paul raised concerns about the timing of the exercise, questioning why officials would practice cybersecurity on such an important day for elections.
  3. The situation escalated when organizers of the event retracted their statements about DHS/CISA's participation, leading to speculation and fears about election integrity.

Why Worry About Incorrigible Claude?

Astral Codex Ten • 15279 implied HN points • 24 Dec 24
🕹 Technology AI Ethics Robotics Automation Cybersecurity
  1. AI's goals and motivations can be complicated and messy, similar to how humans have many different reasons for their actions. This makes understanding and aligning AIs challenging.
  2. If AIs resist changes to their goals or values, it becomes much harder for researchers to properly train or guide them. They might hide their true motivations from people trying to help.
  3. There are steps that can be taken to improve AI alignment, but success heavily relies on the AI being cooperative, rather than fighting against modifications.

2024: The Year in Weird and Stupid Futures

Read Max • 2318 implied HN points • 27 Dec 24
🕹 Technology AI Innovation Cybersecurity Digital Culture Futurism
  1. Weird and unexpected events have been happening all year, highlighting the strange side of technology and society. It's important to stay aware of how unusual stories can reflect bigger issues.
  2. A lot of new technologies and strange occurrences have been reported, from AI mishaps to bizarre news stories. It shows how fast things are changing and how we need to keep up.
  3. There have been several reports on how people are engaging with technology, sometimes in funny or surprising ways. This can include both the good and the bad outcomes of our tech use.

Stealing AI: New Cyber Threats In The GenAI Era

High ROI Data Science • 79 implied HN points • 24 Oct 24
🕹 Technology Cybersecurity Data Privacy
  1. Human errors and social engineering are significant risks in cybersecurity, even with strong defenses. Phishing attacks are becoming more sophisticated and can catch businesses off guard.
  2. Businesses need a holistic approach to data and AI security instead of treating them as separate issues. Better collaboration across technical teams is crucial for effective risk management.
  3. Emerging threats like data poisoning in AI systems require constant vigilance. Preventative measures and strong recovery plans are essential to protect data integrity and ensure business continuity.

($) DeepSeek Diffusion

Interconnected • 123 implied HN points • 07 Feb 25
🕹 Technology AI Open Source Geopolitics Cloud Computing Cybersecurity
  1. The ongoing discussion about DeepSeek focuses too much on the rivalry between the U.S. and China. It's more about whether technology is open source or closed source.
  2. Open source technology, like DeepSeek, can spread quickly and widely, getting adopted by various companies across the globe.
  3. Major cloud providers, including U.S. companies, are offering DeepSeek models to their customers, showing its significant impact in the tech world.

AI #94: Not Now, Google

Don't Worry About the Vase • 2464 implied HN points • 12 Dec 24
🕹 Technology AI Software Data science Cybersecurity Machine Learning
  1. AI technology is rapidly improving, with many advancements happening from various companies like OpenAI and Google. There's a lot of stuff being developed that allows for more complex tasks to be handled efficiently.
  2. People are starting to think more seriously about the potential risks of advanced AI, including concerns related to AI being used in defense projects. This brings up questions about ethics and the responsibilities of those creating the technology.
  3. AI tools are being integrated into everyday tasks, making things easier for users. People are finding practical uses for AI in their lives, like getting help with writing letters or reading books, making AI more useful and accessible.

The Sequence Opinion #557: Millions of GPUs, Zero Understanding: The Cost of AI Interpretability

TheSequence • 49 implied HN points • 05 Jun 25
🕹 Technology AI Machine Learning Computing Data science Cybersecurity
  1. AI models are becoming super powerful, but we don't fully understand how they work. Their complexity makes it hard to see how they make decisions.
  2. There are new methods being explored to make these AI systems more understandable, including using other AI to explain them. This is a fresh approach to tackle AI interpretability.
  3. The debate continues about whether investing a lot of resources into understanding AI is worth it compared to other safety measures. We need to think carefully about what we risk if we don't understand these machines better.

Resilient Cyber Newsletter #15

Resilient Cyber • 119 implied HN points • 24 Sep 24
🕹 Technology Cybersecurity AI Security Software Development Cloud Computing Digital Transformation
  1. Some software vendors are creating security problems by delivering buggy products. Customers should demand better security from their suppliers during purchase.
  2. As companies rush to adopt AI, many are overlooking crucial security measures, which poses a big risk for future incidents.
  3. Supporting open source software maintainers is vital because many of them are unpaid. Companies should invest in the projects they rely on to ensure their continued health and security.

There are different types of security organizations, and that's ok

Frankly Speaking • 203 implied HN points • 28 Jan 25
🕹 Technology Cybersecurity Software Risk management Industry Trends
  1. There are many kinds of security organizations, and it's important to recognize that they each manage risks differently. This means not all tools will work for every organization.
  2. The cybersecurity industry has too many tools, which can create confusion and ineffective security management. Instead of just buying tools, companies should focus on building talent and critical thinking skills.
  3. Different businesses face different security risks, so their security needs should vary too. Tools should be tailored to meet these specific needs rather than forcing a one-size-fits-all solution.

AI #91: Deep Thinking

Don't Worry About the Vase • 2732 implied HN points • 21 Nov 24
🕹 Technology AI Development Machine Learning Cybersecurity AI Policy Tech industry
  1. DeepSeek has released a new AI model similar to OpenAI's o1, which has shown potential in math and reasoning, but we need more user feedback to confirm its effectiveness.
  2. AI models are continuing to improve incrementally, but people seem less interested in evaluating new models than they used to be, leading to less excitement about upcoming technologies.
  3. There are ongoing debates about AI's impact on jobs and the future, with some believing that the rise of AI will lead to a shift in how we find meaning and purpose in life, especially if many jobs are replaced.

How Adaptive AI Microcontainers Outmaneuver Modern Cybersecurity Threats in AI Workloads

Phoenix Substack • 14 implied HN points • 20 Feb 25
🕹 Technology AI Security Cybersecurity Microservices Software Development Cloud Computing
  1. AI workloads are important for businesses but are also very attractive targets for cyber threats. This means we need better ways to protect them.
  2. Traditional security methods struggle because they can be predictable and static, making it easier for hackers to get in and steal data or disrupt systems.
  3. Adaptive AI Microcontainers offer a modern solution by constantly changing and healing themselves, making it much harder for cybercriminals to succeed.

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.

AI #93: Happy Tuesday

Don't Worry About the Vase • 1971 implied HN points • 04 Dec 24
🕹 Technology AI Machine Learning Data science Open Source Cybersecurity
  1. Language models can be really useful in everyday tasks. They can help with things like writing, translating, and making charts easily.
  2. There are serious concerns about AI safety and misuse. It's important to understand and mitigate risks when using powerful AI tools.
  3. AI technology might change the job landscape, but it's also essential to consider how it can enhance human capabilities instead of just replacing jobs.

Should You Pick A CIAM Solution That Implements Standards?

ciamweekly • 62 implied HN points • 10 Feb 25
🕹 Technology Cybersecurity Software Development Identity Management
  1. Choosing a CIAM solution that follows standards like OIDC and SAML can enhance security, thanks to the collective expertise of many developers. This leads to fewer vulnerabilities and better protection for users.
  2. Using a standards-based CIAM system makes it easier for your software to work well with existing tools and libraries. This can speed up development since your team is likely already familiar with these standards.
  3. A standards-compliant CIAM solution offers better portability if you need to switch systems later. It allows for shared practices between different solutions, reducing the need to start from scratch when migrating.

Cybersecurity's Delusion Problem

Resilient Cyber • 419 implied HN points • 29 Aug 24
🕹 Technology Cybersecurity Market Dynamics Data Privacy Risk management
  1. Cybersecurity isn't the only focus in business. Companies care about many things, like revenue and customer satisfaction, not just security.
  2. There's often not enough pressure on businesses to take security seriously. Sometimes it's cheaper for them to deal with breaches than to invest in security.
  3. Many cybersecurity talks happen in their own bubble, not considering the larger business world. For real progress, they need to speak the language that businesses understand.

China’s GenAI Content Security Standard: An Explainer

ChinaTalk • 429 implied HN points • 07 Jan 25
🕹 Technology AI Regulation Cybersecurity Data Privacy Machine Learning
  1. China has set rules for generative AI to ensure the content it produces is safe and follows government guidelines. This means companies need to be careful about what their AI apps say and share.
  2. Developers of AI must check their data and the output carefully to avoid politically sensitive issues, as avoiding censorship is a key focus of these rules. They have to submit thorough documentation showing they comply with these standards.
  3. While these standards are not legally binding, companies often follow them closely because government inspections are strict. These regulations mainly aim at controlling politically sensitive content.

✨ While tech CEOs talk up AGI imminence, real-world AI use cases emerge

Faster, Please! • 639 implied HN points • 06 Jan 25
🕹 Technology Artificial Intelligence Cybersecurity Software Development Data science Emerging technologies
  1. In a few years, we might see AI agents start working alongside humans, which could really change how companies function.
  2. Tech leaders believe that powerful AI could lead to huge advances in science and medicine, speeding up progress significantly.
  3. While there is excitement about AI's potential, it's also important to manage the risks to make sure it benefits everyone.

Xuất khẩu gian lận

Thái | Hacker | Kỹ sư tin tặc • 11143 implied HN points • 25 Dec 23
🕹 Technology Cybersecurity Online Scams Tech industry E-commerce
  1. Tech giants like Microsoft, Google, and Meta have dedicated teams to combat fraud from Vietnamese individuals.
  2. Individuals from Vietnam have been involved in creating fake online accounts and engaging in various forms of online fraud, causing significant financial losses.
  3. Vietnam has a reputation for fraud and account takeover schemes in the global community, leading to distrust and higher trading costs for the country.

How to not click on dodgy links

How to Survive the Internet • 159 implied HN points • 04 Oct 24
🕹 Technology Cybersecurity Phishing Online safety Digital Literacy Internet culture
  1. Be careful with emails from authority figures; they're likely to be phishing scams aimed at tricking you into sharing personal info.
  2. Phishing is a growing problem, with billions of spam emails sent daily, yet many still get through and lead to cyber attacks.
  3. Studies show that humans are often the weak link in cybersecurity, continually clicking on harmful links despite warnings and training.

Một chuyến đi Nhà Trắng

Thái | Hacker | Kỹ sư tin tặc • 6810 implied HN points • 11 Feb 24
🌍 World Politics National Security Cybersecurity Global Cooperation International relations Government Policy
  1. Visiting the White House to discuss cybersecurity and AI for Vietnam showed the importance of global connections and the need to align local programs with broader international initiatives.
  2. Efforts to engage government support require strategic positioning within larger global agendas, as seen during the meeting with the National Security Council.
  3. Navigating policy advocacy involves persistence and optimism, as demonstrated by the challenges and outcomes of the meeting at the White House.

Giải mã LockBit v3

Thái | Hacker | Kỹ sư tin tặc • 2716 implied HN points • 02 May 24
🕹 Technology Cybersecurity Ransomware Collaboration Security Measures
  1. Calif's report on LockBit v3 reveals a vulnerability allowing partial data recovery without ransom payment.
  2. Knowing ransomware algorithms is crucial for recovery strategies, even if mistakes can happen.
  3. Common ransomware recovery strategies include backup restoration, ransom payment, or self-decryption, with emphasis on avoiding public disclosure.

An Interview With Or Weis

ciamweekly • 62 implied HN points • 03 Feb 25
🕹 Technology Software Cybersecurity Entrepreneurship AI Developer Tools
  1. CIAM helps businesses balance security and user experience. If security is too tight, users get frustrated, while loose security can lead to risks.
  2. Without CIAM, companies waste time creating custom access control systems. CIAM makes it easier for developers to manage permissions, so they can focus on product development.
  3. The future of CIAM involves managing machine identities as much as human ones. As automation grows, businesses will need new methods to handle permissions for both types of users.

AI SOC Automation isn't the right problem to solve

Frankly Speaking • 152 implied HN points • 14 Jan 25
🕹 Technology AI Cybersecurity Information Security Data Analysis Automation
  1. Focusing on better detection engineering is key in security operations. It helps identify threats more effectively rather than just automating processes.
  2. Many traditional security operations centers (SOCs) may not be necessary for most companies. Smaller, more efficient models or managed detection services can be better alternatives.
  3. The future of SOCs is likely to involve fewer human analysts and more automation, emphasizing custom detections that fit the specific needs of a business.

The government ordering Apple to break its encryption is stupid, counter-productive and unworkable

Odds and Ends of History • 1340 implied HN points • 10 Feb 25
🕹 Technology Encryption Privacy Cybersecurity Government Policy Tech regulation
  1. The government's demand for Apple to break its encryption just doesn't make sense. It would create a security risk for everyone, not just criminals.
  2. End-to-end encryption is really important for keeping our data safe. If encryption is weakened, it puts everyone at risk of hacks and privacy violations.
  3. Tech companies like Apple might resist these government orders because it goes against their commitment to privacy. It's not just a principle; it also affects their business and user trust.

Resilient Cyber Newsletter #14

Resilient Cyber • 59 implied HN points • 17 Sep 24
🕹 Technology Cybersecurity Cloud Security AI Security DevOps Compliance
  1. Cyber attacks on U.S. infrastructure have surged by 70%, affecting critical sectors like healthcare and energy. This is causing bigger risks because these sectors are tied to essential services.
  2. Wiz has introduced 'Wiz Code' to improve application security by connecting cloud environments to source code and offering proactive ways to fix security issues in real-time.
  3. There's a growing crisis in the cybersecurity workforce, with many claiming there are numerous jobs available while many professionals feel unprepared for the roles. This highlights the disconnect between job openings and real-world experience.

How Adaptive AI Microcontainers Outmaneuver Modern Cybersecurity Threats in AI Workloads

Phoenix Substack • 42 implied HN points • 06 Feb 25
🕹 Technology Cybersecurity AI Microservices Software Enterprise
  1. AI workloads are crucial for businesses but can attract cyber threats. These threats target predictable systems and can steal data or disrupt operations.
  2. Static security methods, like firewalls, are not enough to protect AI workloads. New challenges like lateral movement and data theft highlight the need for better security.
  3. Adaptive AI Microcontainers create secure environments by changing and healing themselves automatically. This makes it hard for hackers to predict or exploit the system.

16 Cybersecurity Startups Selected for Google Growth Academy

The Security Industry • 11 implied HN points • 16 Feb 25
🕹 Technology Cybersecurity Artificial Intelligence Startups Data Management Cloud Computing
  1. IT-Harvest is part of Google's Growth Academy for 2025, focusing on supporting cybersecurity startups. This helps them connect with experts and gain valuable resources.
  2. The platform has evolved to meet the needs of security teams, showing strong interest in their data tools and features. Users can now map their security tools to important frameworks like NIST CSF.
  3. They are using AI to streamline data collection and analysis, which makes understanding cybersecurity products faster and easier. This change has made their tools more appealing to companies and consultants alike.