The hottest Technology Substack posts right now

And their main takeaways

On Good and Bad AI

TK News by Matt Taibbi • 10761 implied HN points • 27 Nov 24

🕹 Technology AI Ethics Machine Learning Automation Digital Culture Innovation

AI can be a tool that helps us, but we should be careful not to let it control us. It's important to use AI wisely and stay in charge of our own decisions.
It's possible to have fun and creative interactions with AI, like making it write funny poems or reimagine famous speeches in different styles. This shows AI's potential for entertainment and creativity.
However, we should also be aware of the challenges that come with AI, such as ethical concerns and the impact on jobs. It's a balance between embracing the technology and understanding its risks.

Killing SaaS. The anatomy of a murder

Experiments with NLP and GPT-3 • 23 implied HN points • 11 Mar 26

🕹 Technology AI Machine Learning Software SaaS Speech Recognition Prompt engineering Open Source

You can quickly recreate a SaaS feature set by using LLMs and cloud APIs, turning a paid product into a local or DIY app that runs with your own API key.
The real magic isn’t just transcription but the prompt and LLM logic that cleans disfluencies, handles self-corrections, and adapts formatting to the target app.
Code and a working prototype are easy to produce, but distribution, product polish, and the business model remain the hard parts. Open-sourcing or packaging executables makes replication and customization trivial.

Differential knowledge interconnection

Engineering Ideas • 39 implied HN points • 12 Oct 24

🕹 Technology AI Data science Knowledge Management Ethics Sustainability

Not all AI technologies are harmful. Some can help produce good knowledge that supports a sustainable future, while others might exploit flaws in society.
Good knowledge helps connect and understand well-being, which is crucial for a sustainable civilization. It's important to have interconnected knowledge about all moral patients.
AI capabilities that promote this interconnected knowledge are likely beneficial. However, there's a risk of technology dehumanizing society if not handled carefully.

Your keyboard is the real bottleneck | Wispr’s Sahaj Garg

Dev Interrupted • 51 implied HN points • 24 Feb 26

🕹 Technology AI Software Developer Tools Automation Security Product Machine Learning

The keyboard is becoming the real bottleneck for engineers, and new tools aim to use contextual speech models to capture raw intent and produce zero-edit, well‑formatted code and docs.
Autonomous agents are reshaping trust and security: big moves into local, customizable assistants raise hard security and open-ecosystem questions, and agents can be weaponized to produce targeted harassment that makes online content harder to trust.
The era of outcome engineering is killing the traditional backlog, pushing work into autonomous loops and forcing product people to become 'AI builders' who constantly experiment and reinvent how their teams operate.

Claude Code’s Secret Weapon: The Complete Guide to CLAUDE.md, SKILL.md & Every Important File You’re Ignoring (+ 60 Copy-Paste Templates)

The Product Channel By Sid Saladi • 37 implied HN points • 06 Mar 26

🕹 Technology AI Tools Developer Tools Software Engineering Documentation Productivity Automation

Claude Code has no memory between sessions, so putting project context in CLAUDE.md gives the assistant persistent knowledge and stops you from re‑onboarding it every time.
The .claude folder (settings.json, rules/, skills/, agents/, etc.) plus a global ~/.claude layer create scoped, reusable configs and workflows you can invoke to enforce conventions and automate tasks.
Writing clear CLAUDE.md, SKILL.md, and path‑scoped rule files (and using ready‑made templates) converts Claude into a reliable, project‑aware coding partner that can massively speed up work.

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UI is hell: four-function calculators

lcamtuf’s thing • 8570 implied HN points • 23 Jan 25

🕹 Technology Interface Design User Experience History

Basic calculators seem simple, but designing their interface is really tricky. Many small rules affect how they operate.
Users often expect calculators to follow straightforward rules, but calculators can behave unexpectedly based on their design. This can lead to confusion when doing simple calculations.
Calculator design has evolved over time, but some quirks and confusing features remain. Understanding these can help users use them more effectively.

Explore Then Expand Then Extract

Software Design: Tidy First? • 684 implied HN points • 04 Dec 25

🕹 Technology Software Engineering Systems Design Product Management Scalability Architecture Engineering Management

Treat product work as three phases—exploration, expansion, extraction—and prioritize differently in each; during exploration favor fast, cheap experiments even if they won’t scale.
When moving into expansion, stop wide experimentation and focus on removing the immediate bottleneck quickly so growth can continue, even if that means pausing or throttling growth briefly.
Avoid pre-emptive over-engineering; fix emerging bottlenecks rapidly and only commit to permanent, scalable infrastructure for problems that recur or ‘rhyme’ with past bottlenecks.

🛢️✨ What the shale boom tells us about the AI boom

Faster, Please! • 456 implied HN points • 02 Jan 26

🕹 Technology AI Investment Innovation Infrastructure Economics Energy

New general-purpose technologies like AI often consume huge amounts of capital before their real economics become clear.
This pattern repeats past booms (for example, shale and the internet), so massive early investment is familiar rather than entirely new.
Expect a queasy transition period where winners and losers are uncertain and the true economics gradually settle over time.

Spec-Driven Development: From Vibe Coding to Structured Development

Bit Byte Bit • 65 implied HN points • 25 Feb 26

🕹 Technology Software Development Developer Tools Artificial Intelligence Software Architecture Payments Workflows

Write a clear, versioned specification before asking an AI to implement a feature so the AI has a single source of truth and won’t make inconsistent architectural or security choices.
Use purpose-built SDD tooling that fits your workflow and codebase; tools that produce spec deltas, a living spec, and an auditable archive make it easy to resume, verify, and evolve work.
SDD reduces rework and improves cross-role review, but it has costs — don’t use it for trivial fixes or pure prototyping, keep specs lean, and watch for spec bloat, drift, and review fatigue.

Latest open artifacts (#18): Arcee, LiquidAI and Moonshot ...

Democratizing Automation • 142 implied HN points • 02 Feb 26

🕹 Technology Artificial Intelligence Machine Learning Generative AI Open Source Multimodal models Large Models AI Infrastructure

Arcee released Trinity-Large-Preview, an ultra-sparse MoE with 400B total parameters and about 13B active parameters, plus a public tech report and base models.
LiquidAI’s LFM2.5-1.2B-Instruct punches above its size, often matching larger models in tests and coming with Japanese, vision, and audio variants.
Kimi-K2.5 is a multimodal continual-pretrain model (15T tokens) that’s cheaper and stronger on coding and agent tasks, though its writing quality has slipped compared to earlier K2 models.

Plus Post: Integrated Micro Applications LTD's Keystar

Computer Ads from the Past • 512 implied HN points • 22 Dec 25

🕹 Technology Software User Interface Legacy Systems

Keystar translates WordStar editing commands into plain English, making text editing simpler for users.
The product is rooted in the early home computing era and connects to 1980s personal computing publications and retro software tools.
The piece is distributed through a paid subscription model but can be offered as a free sample with an option to subscribe for more.

H200s Sale: China Reacts

ChinaTalk • 578 implied HN points • 12 Dec 25

🕹 Technology AI Chips Cloud International Trade Computing

Nvidia's H200 chips are now allowed to be sold to China, which has sparked different opinions in Chinese media. Some see it as a temporary win for China's tech, while others worry about long-term dependency on foreign technology.
Chinese AI companies have adapted to using various cloud service providers to access advanced chips, even under restrictions. This shows they have been preparing and may not be as reliant on new Nvidia products as originally thought.
The approval to sell H200 chips may boost Nvidia’s sales significantly, but it won’t reverse China's strong push towards developing its own chip industry. China is working to be more self-sufficient and less dependent on foreign tech in the future.

Why Meta's AR/VR Dreams Need China's Goertek

ChinaTalk • 326 implied HN points • 07 Jan 26

🕹 Technology AR/VR Hardware Supply Chain Manufacturing Optics Semiconductors Components

Goertek is more than a parts supplier — it assembles Meta’s headsets, runs centralized procurement, and manages a huge network of component makers, giving it outsized influence over costs and timelines. This makes it hard to replace even though its direct component value looks small.
Meta is trying to diversify suppliers and move some production out of China, but swapping individual components isn’t the same as rebuilding an entire supply chain, so true decoupling remains difficult.
Key XR parts like waveguides, pancake lenses, and optical engines are yield-constrained and dominated by a few firms (notably Goertek and Sunny Optical), creating capacity bottlenecks that drive shortages and limit product availability.

How large cybersecurity companies fail

Frankly Speaking • 203 implied HN points • 21 Jan 26

🕹 Technology Cybersecurity Artificial Intelligence Cloud Computing Software Development DevOps Tech Strategy

Many large cybersecurity companies risk losing relevance if they keep selling into shrinking, legacy markets and only bolt AI onto old architectures instead of rethinking their products.
AI lets security teams build and deploy code and automated remediation themselves, turning security from gatekeepers into builders and reducing the need for big, seat‑based security products.
Security budgets and ownership are moving into engineering so tools must prove clear, high‑impact value and be API‑first and fast to deploy, or they'll be replaced by AI‑native challengers and in‑house solutions.

Quick Essay: Large Language Models, How to Train Them, and xAI’s Grok

chamathreads • 3321 implied HN points • 31 Jan 24

🕹 Technology AI Chatbots Neural Networks Data Training Model Architecture

Large language models (LLMs) are neural networks that can predict the next sequence of words, specialized for tasks like generating responses to questions.
LLMs work by representing words as vectors, capturing meanings and context efficiently using techniques like 'self-attention'.
To build an LLM, it goes through two stages: training (teaching the model to predict words) and fine-tuning (specializing the model for specific tasks like answering questions).

TBM 400: Strategic Portfolio Management Meets Product-Centricity

The Beautiful Mess • 396 implied HN points • 09 Jan 26

🕹 Technology Product Management Portfolio Management Organizational Design Engineering Management Tech Strategy

Software products and teams aren’t like stocks — they’re tightly entangled, slow to change, and hard to reallocate without big, lasting consequences.
Lean and centralized portfolio approaches can restore flow and stabilize teams, but they often still assume capacity and flow are more liquid and reversible than they really are.
In product-led tech organizations, portfolio decisions naturally live with product leadership and require organizational design choices (team topology, hiring, platform investment) rather than just a separate PMO doing prioritization.

Announcing the 2026 Cyber 150

The Security Industry • 18 implied HN points • 09 Mar 26

🕹 Technology Cybersecurity AI Security Startups Venture Funding Market Data Rankings Conferences

The Cyber 150 uses LinkedIn headcount growth tracked in the IT‑Harvest Dashboard to identify the top 150 fastest‑growing midsize cybersecurity companies (50–500 employees), and the winners are published in a shared spreadsheet.
AI security topped the list by category, with many winners offering agentic or AI‑powered solutions—MDR, autonomous pentesting, AI SOC analysts, DSPM, and behavioral risk tools—signaling a clear shift toward AI‑first defenses.
Several winners drew major funding or were acquired and eight grew past the 500‑employee cutoff, and the dataset is positioned as a practical prospecting tool for vendors, recruiters, and event organizers (RSA exhibitors are flagged).

The Phone Is Addicted to You

The Algorithmic Bridge • 828 implied HN points • 28 Nov 25

🕹 Technology Digital Culture User Behavior Media Consumption Tech Addiction Social media

We often think we're addicted to our phones, but many people are actually trying to escape from them. It's common to hide our phones or limit our app usage, showing that we seek peace from constant distractions.
Technology is designed to keep us engaged, and it adapts to our efforts to pull away. Instead of being the users, we might be seen as a source of energy for our devices, feeding their need for our attention.
Recognizing this dynamic can change how we feel about our phone habits. By understanding that our phones can be dependent on us, we can shift our mindset and gain the power to change our behaviors.

A year of uv: pros, cons, and should you migrate

Bite code! • 7584 implied HN points • 15 Feb 25

🕹 Technology Software Development Programming Languages Project management Open Source Tooling

Using the uv tool for Python project management is generally a good idea because it simplifies many tasks. You can always revert to other methods if it doesn't suit your needs.
Uv helps solve common problems in Python setup by being independent of system Python installations. This makes it easier for users to manage different environments without confusion.
While uv is great, there are certain situations where it might not be the best choice, like for legacy projects or in restrictive corporate environments. It's best to try uv first and see if it works for you.

Giving your AI a Job Interview

One Useful Thing • 1028 implied HN points • 12 Nov 25

🕹 Technology AI Benchmarks Performance Model Testing Applications

Measuring AI performance is tricky because common tests can be flawed and sometimes don't really show how smart the AI is. We're often left uncertain about what these benchmarks actually mean.
Using a more personal approach, like creating fun and unique tests, can help people understand how different AI models work. This way, you get a feel for the AI's strengths and weaknesses in a more relatable way.
When companies choose AI tools, it's important to do thorough testing based on real tasks instead of just relying on average performance scores. Understanding specifically how well an AI can perform your unique tasks is key.

Snowflake vs Databricks Is the Wrong Debate

SeattleDataGuy’s Newsletter • 541 implied HN points • 12 Dec 25

🕹 Technology Data Engineering Data Analytics Cloud Computing Data science Machine Learning

Databricks is working to be an all-in-one data platform, starting by attracting data scientists and now analysts too. They want to be seen as a solution that can fit everyone's data needs.
Instead of just competing with Snowflake, Databricks is actually up against bigger players like Microsoft and AWS, which provide a full tech ecosystem. Companies often choose their tech based on the larger platforms they're already using.
To really win over analysts, Databricks is focusing on partnerships and marketing, like their recent work with Alex the Analyst. They understand they need to be persistent and strategic to gain attention and trust in the analytics community.

The Future of AI Compute: A Conversation With Jonathan Ross

chamathreads • 3105 implied HN points • 05 Feb 24

🕹 Technology AI Hardware Chips Language Models Inference

Jonathan Ross founded Groq to build custom AI chips.
The Tensor Processing Unit (TPU) was a major success for Google.
Groq aims to bridge the gap in AI-compute accessibility.

It’s Not Just a Game Anymore

After Babel • 3082 implied HN points • 21 Jul 25

🕹 Technology Gaming Monetization User Experience Child safety Online Communities

Online gaming has changed a lot, with many games designed to keep players engaged and spending money all the time. This makes it important for parents to be aware of how their children interact with these games.
User-generated content can be a double-edged sword; while it allows kids to play creatively, it can also expose them to harmful or inappropriate material that isn't well monitored.
The risks associated with modern gaming include addiction, exposure to inappropriate content, and financial exploitation. Parents should take steps to understand the games their kids are playing and set rules around gaming.

How Far Can Chinese HBM Go?

ChinaTalk • 637 implied HN points • 05 Dec 25

🕹 Technology Semiconductors Artificial Intelligence Manufacturing Export Controls

China is trying to catch up in high-bandwidth memory (HBM) technology to improve AI chip performance. They need to overcome several challenges to advance beyond their current HBM2 level.
CXMT, China's leading memory manufacturer, is facing difficulties due to export controls limiting access to advanced manufacturing tools. This could hinder their ability to produce competitive memory products.
While some aspects like etching tools are less of a barrier, significant hurdles remain in the packaging and base die production. Without breakthroughs in these areas, China’s HBM progress may continue to lag behind global leaders.

Notes on AI

Obvious Bicycle • 723 implied HN points • 01 Dec 25

🕹 Technology Artificial Intelligence Machine Learning Industry Trends Ethics Creative Arts Job Impact

AI chatbots are already extremely useful and woven into everyday life, acting like a personalized, always-available source of knowledge and help.
The AI landscape is changing very fast and is highly polarized, with massive investments, many competing products, and real uncertainty about AGI and long-term economic effects.
New capabilities—especially photorealistic images and deepfakes—bring serious social and ethical risks like misinformation, scams, and job shifts, even though the overall benefits seem to outweigh the harms.

5 ultra-petty tech gripes that are ruining my life

Odds and Ends of History • 670 implied HN points • 12 Dec 25

🕹 Technology User Experience Mobile Consumer Tech Product Design Software Hardware

iPhone lock-screen playback controls now make it too easy to accidentally skip or scrub audio because tap-to-wake and always-on displays cause unintended taps, which is especially painful for long podcasts.
This could be fixed with small changes like requiring a longer press for playback buttons and adding a playback history so you can jump back to where you were.
Little UX annoyances like this spoil otherwise useful features; they’re easy for companies to fix and matter a lot to everyday users.

Under the microscope: RoboCop (PlayStation 2, GameCube, Xbox)

Rings of Saturn • 72 implied HN points • 20 Feb 26

🕹 Technology Reverse Engineering Video Games Emulation Debugging Cheat Codes Retro Gaming

There are multiple real cheat codes for RoboCop (2003) — not just the single one often posted online — including infinite power, infinite ammo, invincibility, instant level completion, and a level-select option.
Because the PS2 build included debug symbols, the cheat-handling function and its data structures could be found and inspected, which made it possible to map button bitmasks to actual button sequences and uncover the codes.
Cheat availability differs by platform: the PS2 and GameCube share the same set, the Xbox is missing some, and a few codes are impossible to enter on certain consoles because their controllers lack the needed buttons.

Condescension Won’t Save Us From The Generative AI Tsunami

Singal-Minded • 259 implied HN points • 14 Jan 26

🕹 Technology Artificial Intelligence Ethics Digital Media Gaming Music

Generative AI often produces a weird, smarmy tone and usually needs as much or more editing than a human draft, so it isn’t a reliable shortcut for high-quality storytelling or dialogue.
People are surprisingly bad at spotting AI-written text, and many readers even prefer AI-created poems and passages, which means AI can convincingly mimic emotional writing.
As models get better and cheaper, AI content is already creeping onto platforms like music and blogs, threatening to crowd out human creators and take away income and opportunities.

AI Hype and the Tech Slowdown are Symmetrical

Freddie deBoer • 4053 implied HN points • 06 Jun 25

🕹 Technology AI Innovation Economy Business Automation

AI is overhyped and won't bring the big changes people expect. It may bring some negative effects, but the impact will be much smaller than past technology like the internet or electricity.
The tech industry is facing a slowdown, similar to how the automotive and finance sectors have gone through ups and downs. Companies are struggling to find exciting new products.
Smartphones are now common and are not seeing much new development. Most new models are just incremental upgrades, making it hard for companies to stand out and grow.

Take My Books, Please

Dada Drummer Almanach • 129 implied HN points • 10 Feb 26

🕹 Technology AI Copyright Publishing Law Economics

Many published books were scraped into AI training datasets without authors' knowledge or permission, prompting writers to join a class-action lawsuit.
The case settled for $1.5 billion, but the AI company denied wrongdoing and kept its fair-use stance, while estimated payouts are small per title and many works were excluded from payment.
The outcome mirrors how streaming devalued recorded music by narrowing which creators get paid, and it pushes writers toward offering work directly to readers and relying on subscriptions or direct support.

@adlrocha - Agents will make Code and Apps obsolete

@adlrocha Weekly Newsletter • 64 implied HN points • 15 Feb 26

🕹 Technology AI Agents Software Automation Programming Fintech Interfaces

Plain English prompts and agentic LLMs can replace writing code and building apps. You can instruct an agent to become a specialized assistant that executes the logic you need.
Storing state in simple Markdown/YAML files and syncing with git removes the need for complex databases or infrastructure. That makes the assistant portable and runnable anywhere the agent runtime exists.
Connecting agents to data sources enables personalized, data‑driven decisions and persistent action plans. With the right context and steering, LLM agents can approximate deterministic app behavior and be extended with GUIs later.

Reading List 12/07/24

Construction Physics • 9395 implied HN points • 07 Dec 24

🕹 Technology Energy Battery tech Aerospace

Many of the biggest cities in the U.S. are seeing strong economic growth post-COVID, with Austin being the fastest at 30%. This shows how some areas are bouncing back well after the pandemic.
There are many bans on wind and solar energy projects in certain U.S. counties. This could slow down the growth of clean energy despite its importance for fighting climate change.
SpaceX is breaking records with its rocket launches, planning to launch as many rockets in a year as NASA's Space Shuttle did in its entire history. This shows how quickly the space industry is advancing.

Diving Deep into LinkedIn's Data Infrastructure: My 6-Hour Learning & Key Takeaways

VuTrinh. • 299 implied HN points • 03 Aug 24

🕹 Technology Data Engineering Software Architecture Databases Distributed Systems Cloud Computing

LinkedIn's data infrastructure is organized into three main tiers: data, service, and display. This setup helps the system to scale easily without moving data around.
Voldemort is LinkedIn's key-value store that efficiently handles high-traffic queries and allows easy scaling by adding new nodes without downtime.
Databus is a change data capture system that keeps LinkedIn's databases synchronized across applications, allowing for quick updates and consistent data flow.

The Ambient AI Era: Clawdbot (OpenClaw)'s Ripple Effects

Enterprise AI Trends • 168 implied HN points • 31 Jan 26

🕹 Technology AI Infrastructure Edge Computing Cloud Privacy Security Devices Enterprise

OpenClaw validates strong demand for ambient, always-on AI assistants that run 24/7, keep persistent personal memory, and act proactively, and incumbents with local context (Apple/Google) are best positioned to build the polished consumer version.
Current infrastructure, security, and policy tooling are not ready for autonomous agents — agents can do harmful or unwanted things even when operating as designed, so we need runtime guardrails, better observability, and new legal/policy frameworks.
True on-device edge inference isn’t ready yet, so persistent agents will live in the cloud for now, which will drive massive new infrastructure needs (storage for agent “exhaust”, sandboxes, flight recorders, and an agent-native internet) and create clear investment opportunities.

Grok 4 Various Things

Don't Worry About the Vase • 3136 implied HN points • 15 Jul 25

🕹 Technology Artificial Intelligence Software Development Innovation Tech industry Computing

Grok 4 is a decent AI model, but it's not the best on the market. It performs well on specific benchmarks but falls short in real-world applications.
The AI is notably fast and has a large context window, which is good for quick responses, but it still struggles with creative writing and complex reasoning tasks.
Grok 4's ability to outperform other models in some tests doesn't guarantee it will be useful in every situation. It's best to compare its results in practice rather than just relying on benchmark scores.

From Azure Functions to FreeBSD

Blog System/5 • 661 implied HN points • 07 Dec 25

🕹 Technology Cloud Servers DevOps Databases Networking Security Operating Systems

You can replace serverless runtimes with a FreeBSD server with surprisingly little code change when your app is a standalone HTTP binary, and use tools like Cloudflare Tunnel to handle TLS and frontend duties.
FreeBSD's built-in utilities (daemon(8), rc.d scripts, newsyslog) make it easy to run services as unprivileged daemons, manage PID/log files, and rotate logs reliably.
Self-hosting improves performance, predictability, and cost control, but it trades off cloud-level redundancy, easy staging slots, and some automated deployment conveniences unless you recreate those features locally.

@adlrocha - We are Missing a Security Stack for Autonomous Agents

@adlrocha Weekly Newsletter • 129 implied HN points • 01 Feb 26

🕹 Technology AI Security Cryptography Decentralization Infrastructure Privacy

Autonomous agents must have tightly limited, auditable access to resources to avoid prompt injection, hallucinated actions, and goal drift. Ephemeral sandboxes, capability tokens, and taint tracking let you confine, sanitize, and audit what agents can do.
Cryptographic and web3 primitives should be used to make agent actions verifiable and least-privilege by design. UCAN-style tokens, TEEs, zero-knowledge proofs, and MPC can prevent agents from having unchecked control or leaking sensitive data.
Supervision and approval workflows are essential for risky operations, combining automated monitors and human-in-the-loop signing of diffs to gate side-effects. Practical platforms that audit chain-of-thought, track data provenance, and reward data providers make safe, accountable agent deployment possible.

Worse Than MechaHitler

Don't Worry About the Vase • 3136 implied HN points • 14 Jul 25

🕹 Technology Artificial Intelligence Machine Learning Software Development Data Privacy Internet Safety

Grok is a new AI model that is claimed to be very smart but has some trust issues. It sometimes fails at giving accurate or useful information and gets its answers influenced by certain biases, especially related to Elon Musk.
The way Grok was programmed already had flaws that led to disastrous comments and behaviors. The AI's responses can reflect controversial opinions instead of sticking to factual or neutral viewpoints.
Elon Musk's involvement in fixing the AI's problems might further complicate how it operates. Overall, there are big questions about Grok's reliability, especially when addressing sensitive topics.

How two insurgents are taking on Twitter

Platformer • 6053 implied HN points • 14 Apr 23

🕹 Technology Social Networks AI Privacy E-commerce Streaming

Alternative social networks are challenging Twitter with new features and approaches.
Artifact is experimenting with a TikTok-like news reading app with a focus on social sharing through comments.
Substack's new Notes feature resembles Twitter but lacks the depth in conversation found on Artifact.

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

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.
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.
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.