DEFENSIVE SECURITY

Detection Engineering.

Build detections around attacker behavior, not just indicators.

Our detection engineering services help organizations transform security telemetry into reliable, actionable detections. We design, validate and tune detection logic around realistic attacker techniques, available data sources and the threats that matter to your environment, with a strong focus on reducing noise while increasing meaningful visibility.

WHAT WE COVER

Detection logic built for real attacker behavior.

Threat-Informed Detection

We translate relevant attacker behaviors and techniques into detection opportunities aligned with the organization’s environment. Detection logic is designed around observable activity and attack patterns rather than relying exclusively on static indicators of compromise.

Detection Use Cases

We develop and refine use cases across endpoint, identity, network, cloud and other available telemetry. Each use case is documented with its objective, required data sources, detection logic, expected signals and investigation context so that it can be operationalized effectively.

MITRE ATT&CK Mapping & Coverage

Existing and newly developed detections can be mapped to MITRE ATT&CK to identify coverage strengths and meaningful gaps. Rather than treating ATT&CK as a checkbox exercise, we use the mapping to understand which attacker behaviors are observable and where additional telemetry or detection logic is required.

Validation & Tuning

Detection logic is tested against representative activity and tuned to improve signal quality. We analyse false positives, environmental context and expected behavior to reduce unnecessary alert volume while preserving the ability to identify genuinely suspicious activity.

OUR APPROACH

How we approach detection engineering.

We begin with the threats, systems and telemetry that actually exist in the environment. From there, we identify useful detection opportunities, develop the logic, validate it against realistic behavior and refine the resulting alerts so that analysts receive meaningful context rather than additional noise.

The objective is to create defensible and maintainable detection coverage: detections that have a clear purpose, rely on understood data sources and can be tested, tuned and improved as the environment and attacker behavior evolve.