Overview
Artificial Intelligence (AI) is transforming cybersecurity by enabling faster detection of threats, anomaly detection, and automated response. However, it also introduces risks such as AI-powered attacks.
Applications of AI
- Threat detection using machine learning.
- Behavioral analysis of users and devices.
- Automated incident response with AI-driven SOAR tools.
- Fraud detection in banking and finance.
Risks
- Adversarial AI that manipulates detection models.
- AI-powered malware and phishing campaigns.
- Data poisoning attacks against ML models.
Best Practices
- Combine AI with human oversight (Human-in-the-Loop).
- Regularly retrain models with verified data.
- Use explainable AI (XAI) for transparency in decision-making.