Adversary simulation exercises real attacker techniques against your environment on a continuous basis, and measures precisely what your detection and response produced in reply.
Controls Deployed Is Not Controls Working
Most organizations can list their security tooling. Very few can say, with evidence, which specific attacker techniques that tooling would actually catch. The gap between those two things is where incidents happen, and it is almost never uniform: a program will have excellent coverage of initial access and none of lateral movement, or alerting that fires reliably in the test tenant and not in production after a configuration change nobody documented.
Simulation closes that gap by treating detection as something to be measured rather than assumed. Each technique is executed under agreed authorization, timestamped, and reconciled against your alerts, tickets and analyst actions. The output is a technique-by-technique picture: what fired, how quickly, what your team did, and what produced no signal whatsoever. That last category is usually the most valuable, because it converts directly into a detection engineering backlog with clear priorities.
The value compounds with repetition. You build a detection, verify it fires, and then confirm it still fires three months later after a tooling upgrade or a policy change. Configuration drift is real, and a control that worked at deployment is not necessarily a control that works today. A single simulation is a snapshot; a program is an assurance capability.
- Technique-level exercises mapped to MITRE ATT&CK
- Announced or unannounced, depending on what you need to measure
- Time to detect and time to respond, measured per technique
- Synthetic data only for exfiltration testing, never your real records
Simulation is driven by threat intelligence, so the techniques exercised reflect the actors that target your sector, and it complements periodic red teaming with continuous assurance in between. Get in touch to discuss a program.
