Matrix/Prepare
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Phase 2 of 7

Prepare

Environment Preparation

Build the shadow infrastructure that will house your deception environment. This includes provisioning networks, fabricating hosts, creating synthetic data, and establishing the monitoring pipelines that make the entire operation observable.

Preparation is where the deception operation moves from strategy to engineering. The goal here is to construct an environment that is convincing enough to fool a real adversary, not a casual scanner, but a determined attacker who will poke at inconsistencies, check timestamps, and look for signs that something feels wrong.

Building a convincing deception environment is harder than most practitioners initially expect. A bare-bones honeypot with default configurations and no realistic data will be identified and avoided by any adversary worth worrying about. The preparation phase invests the time needed to create decoy infrastructure that holds up under scrutiny.

This means provisioning network segments that mirror your real architecture, fabricating hosts with realistic operating system fingerprints and patch levels, generating synthetic data that looks plausible without exposing actual sensitive information, and creating user accounts with believable histories. Every detail matters because a single inconsistency, a user account with no email history, a server with no log files, a database with perfectly formatted dummy records, can tip off an experienced attacker.

Equally important is the monitoring infrastructure. A deception environment that nobody watches is a waste of resources. During preparation, you establish the logging pipelines, alerting thresholds, and analysis workflows that will turn raw attacker interactions into actionable intelligence. This includes deciding where logs will be shipped, how alerts will be triaged, and who will be responsible for monitoring the environment.

The preparation phase also addresses the maintenance question that many organizations overlook: deception environments decay over time. Software gets outdated, certificates expire, and the gap between your real infrastructure and your decoys grows wider. Planning for ongoing maintenance and refresh cycles during preparation prevents your deception environment from becoming transparently stale.

Objectives

  • Provision isolated network segments that mirror production architecture without creating risk
  • Build decoy hosts with realistic configurations, patch levels, and operational artifacts
  • Generate synthetic data that withstands adversary scrutiny without exposing real sensitive information
  • Create believable user identities and access patterns within the deception environment
  • Establish robust logging and monitoring pipelines for all deception assets
  • Define maintenance schedules and refresh cycles to prevent environment staleness

Key Questions

  • Q1How closely does our deception network need to mirror production to be convincing against our target adversary profile?
  • Q2What synthetic data do we need, and how do we generate it without accidentally including real PII or credentials?
  • Q3How will we ensure that deception assets stay current as our real infrastructure evolves?
  • Q4What monitoring coverage do we need, and where will deception logs be aggregated?
  • Q5How do we prevent legitimate users or automated systems from accidentally interacting with deception assets?

Inputs

  • Deception architecture blueprint from the planning phase
  • Production network topology and asset configurations for reference
  • Synthetic data generation requirements
  • Monitoring and logging infrastructure specifications

Outputs

  • Provisioned deception network segments
  • Configured decoy hosts with realistic artifacts
  • Synthetic data sets deployed across deception assets
  • Operational monitoring pipelines with defined alert thresholds
  • Maintenance and refresh schedule documentation

Techniques in this Phase(6)

SDF-PR01

Shadow Network Provisioning

advanced

Provision isolated network segments that mirror the organization's production topology. These shadow networks host deception assets while maintaining sufficient isolation to prevent adversary pivot back to production and sufficient connectivity to appear legitimate.

Detection: highCost: moderate
ON-PREMAWSAZUREGCP+1

SDF-PR02

Decoy Host Fabrication

advanced

Create decoy hosts with realistic operating system configurations, installed software, user artifacts, and operational history. These hosts must withstand scrutiny from adversaries who will inspect system details to determine if they have landed on a real target.

Detection: highCost: moderate
ON-PREMAWSAZUREGCP+2

SDF-PR03

Service Emulation Engineering

intermediate

Develop or deploy service emulations that mimic real production services at a level of fidelity appropriate for the target adversary profile. This ranges from simple port listeners to fully interactive service emulations.

Detection: highCost: low
ON-PREMAWSAZUREGCP+2

SDF-PR04

Synthetic Data Generation

intermediate

Generate realistic but entirely synthetic data sets to populate deception assets. This includes database records, file contents, email archives, and configuration files that look authentic without containing any real sensitive information.

Detection: highCost: low
ON-PREMAWSAZUREGCP+1

SDF-PR05

Identity Ecosystem Creation

intermediate

Build a believable ecosystem of user accounts, service accounts, and group memberships within the deception environment. This includes creating directory entries, email accounts, and authentication histories that make deception identities appear as real organizational members.

Detection: highCost: low
ON-PREMAWSAZUREGCP+1

SDF-PR06

Monitoring Pipeline Setup

advanced

Establish the logging, alerting, and data collection infrastructure that will capture adversary interactions with deception assets. This pipeline must provide comprehensive visibility without being detectable by adversaries inspecting the deception environment.

Detection: criticalCost: moderate
ON-PREMAWSAZUREGCP+2