Powerful AI technologies against cyber threats
Intelligent multifactor authentication (MFA): AI-enhanced MFA goes beyond traditional password protection methods. It increases security by analysing user behaviour, such as typing speed and access times, and by providing adaptive authentication based on risk and data value. Suspicious activity can automatically trigger blocking measures.
AI early warning system for ransomware: AI continuously analyses network traffic and file access to detect signs of ransomware attacks at an early stage. By identifying malware and documenting indicators of compromise, a quick alert and response can be provided.
AI-powered behavioural analysis and monitoring: By monitoring access and user behaviour, AI detects suspicious activities, such as failed login attempts and unusually high file access, that could indicate a ransomware attack. This analysis is based on the continuous evaluation of activity logs.
Real-time system monitoring: AI enables near real-time monitoring of administrative users and individuals with special rights to detect and respond to anomalous activity.
AI-automated recovery processes: By using AI, platforms can be monitored, issues anticipated and remediation suggested to streamline system recovery.
Dynamic backup planning: AI adjusts backup plans based on data needs, seasonal fluctuations and other variables. This ensures that recovery point objectives (RPOs) are always met.
Efficient data archiving: AI helps companies identify and discard irrelevant data during the backup process. This saves time, increases efficiency and reduces the cost of data storage.
Sources:
https://www.all-about-security.de/cyber-angriffe-abwehren-diese-7-ki-technologien-sollten-unternehmen-kennen/
https://www.ibm.com/thought-leadership/institute-business-value/en-us/report/ceo-generative-ai/cybersecurity