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The use of AI to enhance cybersecurity is growing in scope and breadth. It’s filling–or assisting with–a wide range of roles and processes from analyzing logs to predicting threats, from reading source code to detecting vulnerabilities. These new technologies can help you keep pace with the rapidly changing threat landscape.

Detecting Unknown Threats

AI techniques, such as deep learning and ML, help identify unknown or emerging threats by establishing a baseline of normal activity and identifying activities that deviate from this pattern. This allows organizations to detect previously undetected attacks that could damage their systems.

Rapidly Detecting Cyber Attacks

AI significantly boosts malware and phishing detection capabilities by learning from data patterns to recognize malicious signatures. This helps security teams respond quickly to prevent a breach or other damages to sensitive information and organizational assets.

Automating Incident Response

Many cybersecurity tasks are time-consuming and tedious, such as examining logs and performing vulnerability scans. AI can perform these tasks faster and more accurately, freeing up analysts’ time to focus on strategic improvements and more complex, risk-based decisions. For example, Microsoft Security Copilot automates routine tasks like log reviews, threat hunting and prioritization, while ensuring critical alerts don’t slip through the cracks. Meanwhile, Vectra’s AI-powered endpoint detection and response (EDR) solution prioritizes threats and provides analysts with a single consolidated view of all incidents across their enterprise.