This article shows how IntellIBroń ChatBot AI technology works in the backend. We utilise our own developed RAG. Retrieval-Augmented Generation (RAG) is a technique that combines retrieval-based and generative methods to produce more accurate and relevant responses.
"Sudah dilatih selama setahun, talenta junior tersebut ternyata lebih memilih untuk pindah ke perusahaan lain karena ditawari gaji yang lebih besar". Sounds familiar? Tulisan ini akan membahas salah satu fitur penting dan juga filosofi latar belakang IntelliBron sebagai cybersecurity companion.
How can we coach the machines to learn cybersecurity knowledge from humans?
In this article, I try to discuss in more detail the types of attacks against digital signatures on PDF documents as discussed by researchers at the Ruhr University in Germany, where the vulnerability classes were discovered and first published by them.
We examine the different sources of threat information and the type of information which can be obtained from each. We also discuss how leveraging multiple sources for threat intelligence can improve cyber resilience, and help protect against potential threats
Machine learning algorithms can be trained to recognize patterns in the data and make accurate predictions about the appropriate mapping of Suricata rules to MITRE ATT&CK tactics and techniques
We’ll look at what the decompiled code looks like, and then, we’ll try to submit the decompiled code into Synopsis Code Dx®
This article will discuss about integration of Jenkins + Gitlab + SonarQube executing DevSecOps for a Vulnerable Java Repository
While you can train for cybersecurity in simulated environments, labs or schools, experiencing and analysing real incidents with genuine criminals and combating real hacktivism only happens in real industry settings.
The development phase of IntelliBron began in the late of 2022. Our development team employs Agile+DevSecOps methodology to construct the product. Throughout this article series, we will elucidate how DevSecOps is used in our development endeavour.
This article discusses the different detection and protection methods in Malware-sphere: Signature-based, SandBox, Artificial Intelligence and Content Disarm & Reconstruction (CDR).
We are discussing in this blog post a very simple example of digital signature validation within a PDF file. We hope that this simple example will be enough to provide a starting point for understanding how validation works, and also how digital signatures in PDF work.
In this article, I try to discuss in more detail the types of attacks against digital signatures on PDF documents as discussed by researchers at the Ruhr University in Germany, where the vulnerability classes were discovered and first published by them.
Developed by Secureworks, Dalton provides an intuitive web-based interface to configure and run IDS engines with user-provided packet captures, rulesets (pre-defined or custom), and configuration files
