New security platforms are analysing network activity continuously to identify suspicious behaviour before it becomes a major breach.
Security teams are using artificial intelligence to analyse large volumes of network, application, and user activity in real time.
Detecting unusual behaviour earlier
AI-assisted monitoring can identify patterns that do not match normal behaviour, such as unusual login locations, unexpected data movement, or changes in system access. Analysts can then investigate the highest-risk signals instead of manually reviewing every alert.
“Automation should reduce noise for security teams, not remove human judgement from critical decisions.”
A balanced security model includes
- Human review of high-impact alerts
- Regular testing for false positives and blind spots
- Strong identity and access controls
- Clear incident-response procedures when threats are confirmed
Marcus Otieno
Cybersecurity Correspondent
