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
In this hands-on learning series, you will gain a thorough understanding of threat hunting through malware analysis. The series start with an introduction to various tools used by security professionals, and then going through exploration of how to dissect and understand malicious software attacks
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
Research is fundamental in the IT Security Industry, where attackers are constantly finding new vulnerabilities and exploiting them. The availability of research laboratory infrastructure is critical for the growth of IT Security teams
The security team could create synthetic log events that mimic the behavior of the attacker. By specifying the parameters and conditions of the log generation, the security team could create log events in a consistent and reproducible way
A few weeks ago, I had lunch with software development team. At that moment, our new joiner — a UI/UX Designer, asked me an interesting question. You are building Cybersecurity product, why do you need dedicated UI/UX Designer?
