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.

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.

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.
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Authcon Recap

ciamweekly • 62 implied HN points • 23 Jun 25
🕹 Technology Identity Management Software Development Cybersecurity Data Privacy
  1. Passwords are becoming less common as new methods like passkeys and magic links are easier and safer. However, passwords will still be around because they give users full control.
  2. The customer identity and access management (CIAM) industry is still growing. As the internet expands, we'll need accounts for all kinds of everyday tasks.
  3. Learning from other people's experiences is valuable. The conference showcased practical lessons on handling user authentication and security from real-world situations.

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.

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.

My thoughts on the Zscaler acquisition of Red Canary

Frankly Speaking • 305 implied HN points • 05 Jun 25
💼 Business Technology Acquisitions Cybersecurity Market Trends Managed Services
  1. Zscaler bought Red Canary to create a more integrated and powerful security platform. This move helps them adapt to the changing needs of businesses that want fewer, but more effective tools.
  2. The combination of Zscaler’s services with Red Canary’s managed detection capabilities allows companies to reduce their security staff while improving response times. This can make security easier and potentially save money.
  3. The security market is shifting away from using many separate tools and towards unified platforms. As Zscaler and others adapt, there's potential for growth, but they must also navigate challenges in merging cultures and technologies.

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.

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.

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.

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.

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.

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.

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.

✨ 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.

Will AI lead to more "managed" security services?

Frankly Speaking • 101 implied HN points • 29 May 25
🕹 Technology AI Cybersecurity Managed Services Automation Software Development
  1. AI is set to change the way security services operate by taking over repetitive tasks. This means teams can focus on more important work instead of getting bogged down by routine maintenance.
  2. With AI managing security tasks, new types of services will emerge that work better and require fewer people. This helps businesses save costs and improves consistency in security measures.
  3. Instead of fearing job loss, security professionals should see AI as a tool that helps them do their jobs better. AI can handle tedious tasks, allowing security teams to focus on critical areas like designing better security systems.

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.

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.

Điều tra sự cố là làm gì?

Thái | Hacker | Kỹ sư tin tặc • 2396 implied HN points • 22 Mar 24
🕹 Technology Cybersecurity Investigation Logic Bias Truth-seeking
  1. Investigating incidents involves more than just technical tools and techniques; 80% success comes from logical reasoning and keeping calm.
  2. Investigating an incident requires thinking about the 'why' before deciding on the 'how'; it's about determining the investigative direction.
  3. Confirmation bias, the tendency to seek information that supports preconceptions, can hinder incident investigations; focus on evidence-based conclusions instead.

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.

The Case for Undoing Biden’s AI Diffusion Rule

From the New World • 53 implied HN points • 29 Jan 25
🇺🇸 U.S. Politics AI Policy Export Controls International relations Economic strategy Cybersecurity
  1. The Biden administration's AI export controls limit American companies from easily sharing AI technology with many allied nations. This could hurt relationships with friendly countries while benefiting rivals like China.
  2. Restricting exports makes it hard for American companies to localize their AI solutions in developing regions, which affects their competitiveness. If American firms can't adapt to local needs, countries may turn to Chinese alternatives.
  3. Investing in AI infrastructure in the Global South helps build strong relationships and shared technology standards. The current export rules prevent American companies from deepening those ties, allowing China to gain influence instead.