Artificial Intelligence in Cyber Security
Although artificial intelligence affects the entire industry, the fields of work that are directly and indirectly affected are many, cyber security is one of the prominent issues in these areas.
Artificial intelligence has many different functions in the field of cyber security:
Cyber Security Maintenance Studies
- Attack Detection and Prevention
- Malware Detection
- Phishing Detection
- Data Theft Detection
- Slave Computer Network Detection
- Spam Filtering
- Cyber Incident Forecast
- Fraud Detection
Studies to Increase Security
- Security Authentication
- Biometrics
- Activity Based
- Cyber Intelligence
Studies to Overcome Security Mechanisms
- User Profiling
- Captcha Deception
- Target System or Service Detection and Abuse
The main objectives of our R&D activities that we carry out in these scopes are to use artificial intelligence more effectively in the field of cyber security and to strengthen the existing studies in terms of quality, automation resource use, evaluation and interpretation.
CyberAID, which we have developed within the scope of our R&D activities, can make NVT production and CVSS score estimation for new vulnerabilities with artificial intelligence. In addition to these, CyberAID modules to complement missing deficiency information and associate similar vulnerabilities contribute to vulnerability search and evaluation studies, and by using artificial intelligence, it provides a more effective use of CyDecSys and similar vulnerability scanning tools developed by us. One of the remarkable modules within the scope of the projects is the artificial intelligence-based pro- and post-condition analysis, and the potential of vulnerabilities and the actions that can be taken after exploitation can be estimated. With another module called Cyber Entity Recognition, it is ensured that keywords are selected from the data sources, classified and presented for action.
It is known that information-based activities in cyberspace are becoming information-intelligence-based day by day. Although the predominant majority of current studies are detection-oriented, intervention-purposed scenarios are often on the agenda.
As a result, with the spread of Industry 4.0 applications, it is predicted that the role of artificial intelligence in cyber security will be more sensitive and artificial intelligence techniques and its capabilities will also be used by attack actors. We continue to offer innovative and multidisciplinary solutions through our work in this context.
