Industry · Fast-moving · Intermediate

AI in Cybersecurity

Using AI to detect, investigate and respond to security threats — and defending against attackers who use it too.

What AI in Cybersecurity is

Defensive uses include anomaly detection, alert triage, log summarisation and automated investigation. Offensive uses include convincing phishing at scale, voice fraud and faster vulnerability discovery.

How it works

Security operations centres apply behavioural models to telemetry and language models to summarise incidents and draft response steps, always with analyst confirmation before disruptive action.

Why it matters

Alert volume exceeds analyst capacity, and AI-assisted attacks have already lowered the cost of convincing social engineering.

Common uses

→Alert triage and enrichment
→Phishing detection
→Insider threat analytics
→Incident report drafting

Strengths

✓Cuts analyst workload
✓Detects novel patterns

Watch for

✓False positives
✓Attackers adapt quickly
✓AI tools themselves expand the attack surface

Continue exploring

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