AI in Cybersecurity — How Machine Learning Detects Threats

AI in Cybersecurity — Offense & Defense

AI is transforming cybersecurity. Both defenders and attackers are using machine learning to gain an edge.

AI for Defense

1. Anomaly Detection

ML models learn "normal" network behavior and flag anything unusual:

• Employee accessing files at 3 AM
• Unusual data transfer volumes
• Login from a new country
• Process spawning from unexpected parent

2. Malware Detection

AI analyzes file behavior instead of signatures:

# Features ML models check:
- API call sequences
- Network connections made
- Registry modifications
- File encryption patterns
- Memory allocation behavior

3. Email Threat Detection

NLP models analyze email content, sender reputation, link destinations, and attachment behavior.

AI for Attack (The Dark Side)

• 🔴 AI Phishing: ChatGPT can write convincing, personalized phishing emails
• 🔴 Deepfakes: Voice & video cloning for social engineering
• 🔴 AI Malware: Self-adapting malware that changes behavior to evade detection
• 🔴 Automated Vulnerability Discovery: AI finds zero-days faster than humans
• 🔴 Password Cracking: AI predicts password patterns better than brute force

AI Cybersecurity Jobs

• ML Security Engineer: ₹20-50 LPA
• AI Threat Analyst: ₹15-30 LPA
• Security Data Scientist: ₹25-60 LPA

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