More control over permissions in Bitbucket Pipelines: new features and upcoming changes

N-able takes cloud platform offline after 30+ "zero-days" published

N-able has taken its hosted N-central environments offline and urged on-premises customers to shut down their servers after a security researcher publicly disclosed more than 30 alleged zero-day vulnerabilities, including exploits that could let attackers take over vulnerable systems.

Learn Real-World Penetration Testing: Hands-On Ethical Hacking Crash Course

Understanding how malicious actors infiltrate networks is the first step to building resilient infrastructure. To help developers and aspiring security analysts learn the fundamentals of offensive sec

Pwn.college

pwn.college is a free, hands-on education platform for learning core cybersecurity and hacking skills, maintained by a team at Arizona State University. Learners progress through belt ranks, starting with a 'white belt' and earning belts through practice. Hackers continue beyond the platform to 'brown belt' and eventually 'black belt' status, which must happen outside the dojo. The site powers much of ASU's cybersecurity curriculum and asks users not to post writeups or walkthrough videos of challenge solutions. It points learners toward CTFtime.org for Capture The Flag events and a GitHub list of wargames for further practice. The underlying infrastructure is open source and accepts pull requests, though some modules remain closed-source.

Who Gives A Crap? Hackers, apparently, after toilet paper maker's customer data exposed

UK shoppers caught up in third-party security mess, and nobody knows whether the data was flushed away

Don't Write Markdown Files for Your Coding Agent. Write Scripts.

If you want agents to do what you want, you need to learn how to box them into deterministic actions.... Tagged with ai, programming, devops, productivity.

I built a Software Factory

I built a Software Factory Last year I caught myself doing something absurd. I was paying for the best coding models money could buy, and I was still the bottleneck. Not because the models were slow …

EP230: RAG vs Agentic RAG

RAG (Retrieval-Augmented Generation) và Agentic RAG là hai phương pháp xử lý thông tin khác nhau trong lĩnh vực AI. RAG hoạt động bằng cách truy vấn vector database để tìm thông tin liên quan trước khi tạo câu trả lời, ví dụ như với vector database có thể chứa hàng triệu document embeddings. Agentic RAG thêm vào một agent có khả năng tự suy luận, cho phép hệ thống tự động xác định cần tìm thêm thông tin hay không, như trường hợp của OpenAI's GPT-4 với function calling. Sự khác biệt chính là Agentic RAG có khả năng tự chủ trong việc quyết định cần làm gì tiếp theo thay vì chỉ phụ thuộc vào kết quả truy vấn ban đầu. Đây là kiến thức quan trọng để hiểu sự tiến hóa từ RAG cơ bản đến các hệ thống thông minh hơn có khả năng tự điều chỉnh.

Bài viết này giúp bạn hiểu rõ sự khác biệt cơ bản giữa RAG và Agentic RAG để áp dụng hiệu quả vào các dự án AI.

A Little Snitch for Windows

PacketHound is a free outbound firewall for Windows. The first time an app tries to connect to the internet, it asks you: Allow or Block.