AI in Cybersecurity: Defender and Weapon

AI is changing both sides of security. Attackers use it to scale; defenders use it to keep up.

• Threat detection: spotting unusual behaviour in logs and networks.
• Phishing filters: catching messages that look subtly wrong.
• Alert triage: grouping and prioritising the flood of security alerts.
• Incident summaries: explaining what happened in plain English.
• Code review: finding likely vulnerabilities earlier.
• Vulnerability management: prioritising which fixes matter most.

• More convincing, better-written phishing in any language.
• Voice cloning and deepfakes for fraud ("CEO" calls and video).
• Faster reconnaissance and malware tweaking.
• Prompt injection against AI tools and agents.

1. Verify unusual requests (especially money or credentials) by a second channel, whatever the voice or video.
2. Use multi-factor authentication and password managers.
3. Keep software patched.
4. Limit what AI tools and agents can access.
5. Train staff on modern phishing, including perfect-grammar messages.
6. Have an incident plan and practise it.

Good basics still stop most attacks. Add verification habits for voice and video, and treat AI tools themselves as systems to secure.