Knowledge-Based System (KBS) definition
Regarding cybersecurity, a Knowledge-Based System (KBS) is a specific type of AI system that uses vast amounts of knowledge and a solid base of facts, rules, and heuristics to make requested decisions, solve specific problems, and provide expert advice. With the help of cybersecurity professionals, the system can be encoded into a format that can be applied for assessing and responding to various security threats, vulnerabilities, and potential incidents.
See also: key encryption key
Common applications of Knowledge-based systems (KBS) in cybersecurity:
- Intrusion detection and prevention systems (IDPS): KBS favors the development of rules and patterns that can help to detect and prevent malware, unauthorized access, or suspicious activities in real time. In other words, KBS compares system behavior against a knowledge base of known attack signatures, patterns, or tactics so the IDPS can identify potential security breaches.
- Vulnerability assessment and patch management: Knowledge-based systems assist in vulnerability scanning, applying predefined knowledge about known vulnerabilities and their associated risks. This benefits organizations for security patch applications and updates to mitigate security weaknesses in the future.
- Threat intelligence analysis: KBS can incorporate threat intelligence feeds in line with databases to identify emerging threats. This comes in handy in an organization’s environment. Due to that, cybersecurity professionals can set up new security measures and threat mitigation strategies.