Using artificial intelligence to automatically detect vulnerabilities in small and medium-sized business it systems

1.

USING ARTIFICIAL INTELLIGENCE TO AUTOMATICALLY
DETECT VULNERABILITIES IN SMALL AND MEDIUM-SIZED
BUSINESS IT SYSTEMS
Done by:
Research advisor:
Alin G.T.
Aitkazina P.
Kamikhanova Zh.
Alimkulov N.
Reviewer:
Kapalova N.A.
Almaty 2024

2.

TEAM MEMBERS:
Perizat
Aitkazina
Zhanel
Kamitkhanova
Nurbek
Alimkulov

3.

THE MAIN GOAL AND TASKS
The main goal of this diploma thesis is to design, implement, and evaluate an AI-based system
for the automatic detection of vulnerabilities in SMB IT systems, with a focus on configuration
file analysis.
Tasks:
• Dataset Collection and Preparation
• Algorithm Selection and Implementation
• Model Training and Optimization
• System Architecture Development
• Identify potential challenges related to the diverse nature of SMB IT environments.
• Evaluation and Validation

4.

NOVELTY &
RELEVANCE
Share of companies affected by ransomware in the world
(%)

5.

ANALOGUES

6.

FLOWCHART & ER DIAGRAM

7.

USE-CASE DIAGRAM
UML DIAGRAM

8.

ARCHITECTURE

9.

THANK YOU FOR
ATTENTION!