Adversary Emulation.
Real adversaries, replicated. We run the tradecraft of named threat actors against your environment — their tools, their patience, their mistakes — and measure exactly what your detection stack sees.
# APT29 — Cozy Bear · MITRE G0016 actor = load_ttp("APT29", provenance="confirmed") # initial access → persistence → collection actor.techniques([ "T1566.002", # spearphishing link "T1078.004", # valid cloud accounts "T1098.001", # additional credentials "T1114.002", # remote email collection ]) campaign = Campaign(actor, mode="purple") campaign.deploy(measure="detection_coverage")
Real adversaries.
Replicated.
Test against who's actually coming
Generic attack simulation tells you whether you'd catch a generic attacker. That isn't the threat. Adversary emulation replicates a specific, named group — the tools they really use, the sequence they really follow, the infrastructure habits they really have — so the result maps to a threat you can name in a board paper.
Every profile is built from confirmed-incident provenance and scored for TTP fidelity, so you know how close the replication is.
The output is a measurement
For every technique we execute, we record whether you detected it, how long it took, and what fired. That produces a detection coverage score against the actor's full kill chain — a number that moves when your defences improve.
Then we re-run the same campaign after your team deploys new content, and show you the delta. Provable improvement, not an opinion.
Full MITRE ATT&CK coverage
Every emulated actor maps to specific ATT&CK techniques. Fourteen tactics, 600+ techniques, fully traceable in your detection content.
Actor library · 28 profiles
Nation-state, e-crime, hacktivist and insider threat profiles — each maintained with confirmed-incident provenance and TTP fidelity scoring.
Purple team mode
Run blind or collaborative — defenders watch our attacks in real time, refine detections, and we re-run for measurable improvement.
Detection engineering output
Every campaign produces Sigma rules, Splunk SPL, Sentinel KQL and Elastic queries — tested against your environment before delivery.
Four phases.
One actor.
Actor selection & profiling
You choose which threat actor to emulate, or we recommend based on your industry threat profile. We brief the operator team on TTPs, infrastructure habits and confirmed-incident behaviour.
Campaign execution
Operators run the actor's full kill chain end to end. Initial access, foothold, escalation, lateral movement, objective — each step performed using the actor's actual tradecraft.
Detection gap analysis
For every technique we used, we measure whether you saw it, when you saw it, and what alerted — or didn't. Detection coverage scored against the actor's full kill chain.
Re-run & validate
After your team deploys new detection content, we re-run the same campaign and measure improvement. Same actor, same TTPs, different defensive posture. Provable return.
Twenty-eight profiles.
Pick your adversary.
A representative selection. The full library is shared under NDA, and we build new profiles on request where confirmed-incident reporting supports it.
Cozy Bear. Patient cloud-identity tradecraft, minimal on-disk footprint, long dwell.
Nation-statePersistence and supply-chain compromise, financial and defence targeting.
Nation-stateDisciplined e-crime operation. Point-of-sale, hospitality and retail intrusion.
E-crimeDual espionage and financially motivated operations across a wide victim set.
Nation-stateSocial engineering against help desks, MFA fatigue, rapid identity takeover.
E-crimeDestructive operations against industrial control and critical infrastructure.
Nation-stateThree artefacts.
Measurable defence.
The Threat Brief
Plain-language summary of the campaign, your detection posture against the chosen actor, and how it compares to industry peers.
The Operator Log
Every TTP executed, every detection or non-detection, every artefact. Engineering-ready, MITRE-mapped and fully reproducible.
The Detection Pack
For every gap, ready-to-deploy detection content tested against your environment. Vendor-specific and false-positive validated.
Three ways to test.
Scope, timeline and cost are all set in a threat-modelling session under NDA.
- One actor most relevant to your industry
- Full kill chain emulated end to end
- Detection scorecard delivered
- Detection pack for every gap found
- Free re-run after remediation
- Industry threat landscape profiled first
- Three to four most-likely actors selected
- Each emulated in sequence
- Full purple-team collaboration optional
- Comparative coverage across all actors
- Quarterly campaigns against rotating actors
- Detection content updated continuously
- Coverage trend tracked over time
- Quarterly board briefings on readiness
Before you engage.
How is this different from a red team engagement?
A red team operation asks whether we can reach an objective by any means. Adversary emulation asks a narrower, more measurable question: against this specific actor's known tradecraft, what does your detection stack catch? Red teaming tests resilience; emulation tests detection coverage. Many clients buy both, in that order.
Should we run it blind or as a purple team?
Blind gives you an honest baseline of what your SOC catches unprompted. Purple mode — defenders watching in real time — produces far more improvement per pound, because gaps get closed the same day they're found. Most clients run the first campaign blind for the baseline, then purple for every campaign after.
Which actor should we choose?
If you don't have a view, we'll build one: sector, geography, data types held and public incident history usually narrow it to three or four credible candidates within a session. Choosing an actor that has never targeted anyone like you produces a comfortable score and no useful information.
Do you use the actor's real malware?
We replicate behaviour, not binaries. Campaigns use our own tooling configured to produce the same observable techniques, artefacts and sequencing as the actor — which is what your detection content matches on. Running genuine malware samples in a client environment is not something we'll do.
How quickly can you start?
Threat-modelling sessions begin under NDA, with a written briefing delivered within 72 hours. Typical lead time from signature to campaign start is three weeks.
The adversary coming for you
has a name.
Threat-modelling sessions run under NDA, with a written briefing inside 72 hours. Let's work out who's actually looking at you.