Artificial Intelligence (AI) is increasingly being integrated into cybersecurity solutions to enhance protection against cyber threats. Subsequent to our previous post where we explored how AI has transformed cybersecurity, let’s explore some real-time examples where AI is used in information security products for better protection.
1. Threat Detection & Response: AI systems like Darkrace Enterprise immune system use machine learning to detect and respond to cyber threats by mimicking human immune responses.
2. Anomaly detection: IBM’s QRadar employs AI and machine learning to identify patterns and anomalies in user activities, data flow, and threat information, helping to pinpoint potential security incidents.
3. Security Analytics: Cisco’s Stealthwatch utilizes advanced security analytics and machine learning to provide high-quality threat intelligence and detect sophisticated cyber threats.
4. Vulnerability Management: AI can improve vulnerability management capabilities by analyzing user behavior on servers and endpoints to detect anomalies that might indicate an attack, even before vulnerabilities are officially reported and patched.
5. Threat Hunting: AI-powered tools can help in threat hunting by using machine learning algorithms to identify threats based on signatures or attack indicators.
6. Fraud Detection: AI is used to detect fraudulent activities by analyzing patterns in data that may indicate frauds.
These are just a few examples that illustrate how AI is transforming the field of cybersecurity, providing more efficient and effective ways to protect against cyber threats. AI’s ability to learn and adapt makes it a powerful tool in the ongoing battle against cybercrime.