Dmitrijs Trizna – Medium

Dmitrijs Trizna

Dmitrijs Trizna
in
Towards Data Science

Architecture of AI-Driven Security Operations with a Low False Positive Rate

This article discusses a mindset on building production-ready machine learning solutions when applied to cyber-security needs

Apr 21, 2023

Architecture of AI-Driven Security Operations with a Low False Positive Rate

Apr 21, 2023

Dmitrijs Trizna
in
Towards Data Science

Which GPT-like Engineering Strategies Work on System Logs?

Evaluation of Transformer Neural Network Modeling Methodologies applied to Behavior Malware Traces.

Apr 21, 2023

Which GPT-like Engineering Strategies Work on System Logs?

Apr 21, 2023

Dmitrijs Trizna
in
Towards Data Science

Shell Language Processing: Machine Learning for Security Intrusion Detection with Linux auditd

How-to guide with code samples for specialists willing to apply data science techniques for solving cyber-security problems.

Sep 22, 2022

Shell Language Processing: Machine Learning for Security Intrusion Detection with Linux auditd

Sep 22, 2022

Dmitrijs Trizna
in
Towards Data Science

Security Data Science: Threat Hunting based on Zipf’s Law

Anomaly detection engineering based on ubiquitous Zipfian distribution in enterprise security telemetry.

Aug 28, 2022

Security Data Science: Threat Hunting based on Zipf’s Law

Aug 28, 2022

Dmitrijs Trizna

Design and setup of C2 traffic redirectors

This article describes the Command & Control (C2) infrastructure design and provides a step-by-step setup of the C2 redirector.

Jan 2, 2021

Design and setup of C2 traffic redirectors

Jan 2, 2021

Dmitrijs Trizna

Security Detections on Windows Events with Recurrent Neural Networks

Preprocessing of Sysmon Events, in order to use them as input of Recurrent Neural Network (RNN) model.

Jun 30, 2020

Security Detections on Windows Events with Recurrent Neural Networks

Jun 30, 2020

Dmitrijs Trizna
in
Riga Data Science Club

Security Data Science: Analysis of Windows Event Logs using pandas DataFrame

Transform XML into DataFrame, and as example identify malware Command & Control channel using statistics and visualisation.

May 15, 2020

Security Data Science: Analysis of Windows Event Logs using pandas DataFrame

May 15, 2020

Dmitrijs Trizna

Red Team: Use Case of Open Source Weaponization

Toxic combination of WebDav, donut, Covenant and TikiSpawn

Jan 15, 2020

Red Team: Use Case of Open Source Weaponization

Jan 15, 2020

Dmitrijs Trizna

Dmitrijs Trizna

Sr. Security Researcher @ Microsoft. This blog is an independent R&D at the intersection of Machine Learning and Cyber-Security.

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