Detection engineering
Understanding honeynets in modern cybersecurity
A well-placed decoy generates something most detection stacks are starved of: an alert with a false positive rate of approximately zero.
Most detection engineering is an argument about thresholds. Alert too eagerly and analysts stop reading; alert too conservatively and you miss the intrusion. Every rule sits somewhere on that trade-off, and tuning is the endless work of moving it.
Decoys sidestep the argument. A file share that no business process touches, a service account with no legitimate consumer, a set of credentials that appear only in a place an attacker would look — none of these should ever be accessed. When one is, there is nothing to triage. Something is wrong.
Deception at the right layer
A full honeynet — a deliberately vulnerable network segment, instrumented to study attacker behaviour — is a research tool, and most organisations do not need one. What they need is deception assets placed inside the real environment, where an intruder doing normal reconnaissance will trip over them.
Decoy credentials seeded in memory and in password managers, canary tokens in document repositories, dummy records in a database, a fake administrative interface on an unused port. Each is cheap to deploy and each catches the lateral movement stage, which is exactly where perimeter controls have already been bypassed.
Two conditions for it to work
The decoys must be indistinguishable from real assets — a share called HONEYPOT_DO_NOT_TOUCH catches nobody — and they must be documented internally so an engineer troubleshooting at 2am does not become an incident.
Get both right and you have added a detection that fires late in the kill chain, before impact, with a signal-to-noise ratio nothing else in the stack can match.
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