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Building detections that catch real threats
Collecting logs is not the same as detecting attacks. Detection engineering turns raw data into alerts that reliably indicate suspicious behavior, such as logins from impossible locations, mass file downloads, new administrator accounts or disabled security tools. Good detections are specific enough to act on and tested against realistic attack scenarios.
Frameworks such as MITRE ATT&CK help map detections to known attacker techniques, revealing gaps in coverage. Teams can prioritize techniques most relevant to their environment, for example credential theft and ransomware preparation for many organizations. Every detection should come with context and a response guide: why it matters, what to check first and when to escalate. Without this, analysts spend time interpreting alerts rather than responding to them.
Detections need maintenance. Environments change, new applications generate unfamiliar patterns and attackers adapt. Regular tuning reduces false positives, and periodic testing, such as simulated attacks, confirms that detections still fire when they should. Track detection coverage and false positive rates as program metrics.

