Named, versioned procedures for high-risk actions when identity cannot be trusted from the inbound request alone.
MODLAN HUMAN RESILIENCE · SECURE BEHAVIOR ARCHITECTURE
Attackers test your process under pressure. MODLAN helps you test it first.
A threat-informed approach to social-engineering defense built around verification protocols, forensic reasoning, business-control resilience and defensible measurement—not a generic click-rate leaderboard.
Explore the architecture →Insurance + Claims Range →Cyber Training Range →Open Email Forensics Lab →
VERIFYEXAMINECONTROLMEASURECONVERGE
DECISIONVERIFYUNDER PRESSURE
THREATCHANNELPRESSURE
CONTROLEVIDENCERECOVERY
UNIT OF ANALYSISPROCESS + CONTROLNot a hidden employee “risk score.”
Teach what the artifact supports, what remains asserted, and when insufficient evidence is the correct conclusion.
Measure whether the organization stops, verifies, escalates and preserves evidence under realistic pressure.
Keep stimulus difficulty and evidentiary limits attached to the result instead of manufacturing a single readiness number.
MODLAN HUMAN RESILIENCE · V133 ARCHITECTURE PREVIEW
Train the verification control—not the employee's ability to guess which message looks strange.
This public-safe command center demonstrates the product architecture with synthetic scenarios only. It does not send simulations, create learner accounts, score real employees, or retain any interaction.
ACTIVE ENGINEVERIFYVersioned verification protocols
When authenticity is uncertain, procedure substitutes for impossible certainty.
Teach and rehearse named verification protocols for high-risk transaction classes instead of relying on pattern recognition alone.
V136 · CAPABILITY PATH
One connected journey. No duplicate destinations.
Move from artifact evidence to human decision, workflow control, cyber rehearsal and engagement through the canonical MODLAN surfaces already in the platform.
Inspect the artifact
Start with local-only metadata, cryptographic identity and evidence-set correlation.
Open canonical surface →→Examine the message
Perform browser-local email forensic examination across trace, authentication, identity, MIME and DKIM coverage.
Open canonical surface →→Test the decision
Move from suspicious artifact to verification protocol, process control and defensible measurement.
Open canonical surface →→Apply it to claims
Explore claimant, provider, vendor, settlement, payment, salvage and SIU control pressure.
Open canonical surface →→Rehearse incident reasoning
Work synthetic SOC, IAM, BEC, cloud, DFIR and incident-command missions without production targeting.
Open canonical surface →→Design the control program
Discuss verification design, forensic examination, control assessment or investigative support.
Open canonical surface →SEVEN-ENGINE MODEL
One operating system for the full secure-behavior lifecycle.
Each engine solves a different problem. None is a marketing alias for another feature.
Difficulty-controlled measurement
Do not call a lower failure rate improvement when the stimulus changed.
A declared difficulty index is not empirical calibration until a sufficient population basis exists.Versioned verification protocols
When authenticity is uncertain, procedure substitutes for impossible certainty.
MODLAN does not represent a protocol as legally required unless the authority basis has been established for the client context.Forensic reasoning practice
Score the reasoning, not just the answer.
Practice output is not a certification, examiner credential, expert conclusion, or custody record.Process-resilience exercises
Red-team the process, not the person.
Live exercises require documented client authorization, scope, stop conditions, and named client authority.Evidence-backed outcomes
Completion is attendance. A lower click rate is not automatically behavior change.
No composite human-risk score, readiness percentage, or unsupported breach-reduction claim.Workflow-specific curriculum
Train the job, not the generic inbox.
Scenarios are pattern-derived and synthetic; client-identifying matter facts are prohibited.Training-to-investigation handoff
When a rehearsal becomes a real incident, evidence discipline already exists.
Training data and investigative data remain separate authorization domains unless a recorded, scoped client consent permits a specific transfer.FORENSIC REPLAY
Move from “I think this looks suspicious” to evidence-aware reasoning.
The same shared forensic core that powers MODLAN's public email forensics experience can support future scored EXAMINE workflows without creating a second parser or uploading message bytes. The training layer can store a score envelope while the actual artifact remains local to the browser.
TRUST-DOMAIN DISCIPLINE
The public website explains the product. It does not become the customer training platform.
V133 deliberately keeps public positioning and synthetic previews on modlaninc.com while preserving the future platform as a separate application, database and authentication domain.
Public previews use synthetic scenarios only.
No client evidence, credentials, employee identities or real transaction data belong in the public experience.
The website does not run campaigns, send simulations, create customer accounts or store learner records.
The future customer platform is a separate application, database and authentication trust domain.
Simulation sending infrastructure must remain separate from MODLAN corporate correspondence domains.
CST-derived defensive scenarios use approved abstractions; proprietary CST implementation logic is not exposed.
BUILD SEQUENCE
Architecture first. Insurance and claims specialization next.
V133 establishes the product language, trust boundaries, interaction model and seven-engine operating system. V134 added insurance/claims specialization; V135 now adds a safe synthetic cyber-training range without creating a production targeting surface.