AI Cybersecurity – Top Use Cases for AI in Cybersecurity
AI cybersecurity is the use of artificial intelligence to detect, analyze, and respond to cyber threats. This includes leveraging machine learning to detect anomalies and suspicious activity and protecting data at rest or in transit with encryption and tokenization. AI for cybersecurity can help organizations improve password protection, enhance device and user behavior analytics, and detect and stop malware attacks in real time.
AI can improve existing endpoint detection and response (EDR) solutions by analyzing global threat intelligence synthesized from the security operations of multiple organizations to identify patterns in behavior and determine potential risk. It can also improve data protection by classifying sensitive information and monitoring for unauthorized access or exfiltration. AI-enhanced EDR can protect against zero-day attacks by identifying new malware signatures, and it can optimize cryptographic algorithms to prevent data breaches.
Enhanced threat detection and analysis are the top use cases for AI in cybersecurity. For example, AI can sift through massive volumes of log data to quickly identify anomalies that may indicate cyberattacks. It can also perform penetration testing by systematically probing software systems and devices to discover vulnerabilities.
AI can also automate vulnerability scanning and patch management, using its advanced data analysis capabilities and access to vast data stores. This helps reduce the number of alerts that human defenders must review and prioritize, freeing them to focus on more complex and dangerous threats. Additionally, AI can detect critical software components likely to be targeted by attackers and automatically apply patches or mitigations while considering business process dependencies to ensure that the company’s technology stack isn’t disrupted.