Attack and Detection

Set the objective

We define attacker goals together with you. For example, gaining access to production systems, reaching sensitive data, deploying malicious code through the CI/CD pipeline, establishing persistence in your cloud accounts, or impacting the availability of a critical service

Understand your environment

We map the parts of your cloud and CI/CD setup that matter for the attack objective. This gives us the possible entry points, movement paths, and high-value targets. This is about understanding how an attacker would operate, not reviewing configurations.

Choose the attack path

We choose the attack path an actual attacker would most likely follow: the starting point they would use, the privilege level they would target, and the services or systems they would try to move through.

This path reflects how an attacker would think and act in your environment and becomes the blueprint for our attack simulation.

Execute the attack

We execute the attack end-to-end along the chosen path to see what an attacker could realistically achieve in your environment. At each step, we test whether the attacker can advance, what systems they can reach, what data they can access, and where your monitoring or controls stop them.

This shows you exactly how far an attacker could get, what would be detected, what would be missed, and where your real security gaps are.

Provide actionable improvements

We give you prioritized recommendations tied directly to the attack path we proved. You see exactly which weaknesses made progress possible and what you need to fix to stop it, with improvements focused on visibility, detection, and response. Where a fix sits in cloud infrastructure, we can deliver it as Terraform your team reviews and ships.

Define what you need to detect

We start from the threats and attack paths relevant to your environment, the same ones our red team would use, and define the detection use cases that matter. Not a generic rule pack.

Design the data and architecture

We decide which log sources you actually need, size ingestion for cost, and design the Sentinel workspace and connectors. Cost is controlled before it runs away, not after.

Build detections as code

We write and version the analytics rules and hunting queries in KQL, deployed as Terraform, with response playbooks as Logic Apps, all version-controlled in a repository, mapped to MITRE ATT&CK.

Tune out the noise

We reduce false positives, tune thresholds, and validate detections against real attack techniques, so your team sees signal instead of alert fatigue.

Hand over and iterate

Your team owns the detection content and can maintain it without us. As new threats and log sources appear, we extend the coverage.