WethosAI for Cybersecurity

Attackers study your people. Do you?

WethosAI models the people, authority and operating context involved in a security control or crisis, then runs the scenario repeatedly to expose recurring failures and test the fix.

How validation works
  1. Model the people

  2. Apply pressure

  3. Reveal the failure pattern

  4. Test the fix

Example: an executive impersonation

Does your help desk still verify identity when someone claims to be an executive?

  1. 1 · The request

    Someone claims to be an executive and urgently asks the help desk to reset their MFA.

  2. 2 · 50 runs

    WethosAI runs the scenario 50 times. In this illustrative example, the help desk skips identity verification 18 times.

  3. 3 · The change, tested

    The team adds out-of-band verification: confirming the request through a separate, known contact. In another 50 runs, verification is skipped 3 times.

Illustrative simulation. Names, figures and results are fictional and are not customer data or predictions of actual behavior.

Mapped to MITRE ATT&CK®

  1. ATT&CK techniqueImpersonation
  2. Targeted personHelp desk agent
  3. DecisionApprove or reject the MFA reset
  4. ControlIdentity verification

Illustrative simulation. These results are fictional — not customer outcomes or predictions.

Current procedure

18

of 50 runs skipped identity verification

With out-of-band verification

3

of 50 runs skipped identity verification

83%

fewer skipped verifications

What this gives your team: find where a response process breaks under pressure, change the procedure, and test it again before a real incident.

T1684.001 Social Engineering: Impersonation · Help desk MFA reset. Mapped to MITRE ATT&CK v19.2, released 6 August 2026. WethosAI is not affiliated with or endorsed by The MITRE Corporation.

MITRE ATT&CK® and ATT&CK® are registered trademarks of The MITRE Corporation. Use of MITRE ATT&CK does not imply endorsement or support of WethosAI by MITRE.

Cybersecurity Applications

One platform. Two ways to apply it in cybersecurity.

Start with one critical approval, or rehearse an incident across the organization.

01

Validate a human control

Test one consequential decision repeatedly under changing pressure to find where verification, approval or escalation breaks down.

Best for

  • Identity and MFA resets
  • Treasury wires and vendor bank changes
  • Privileged-access and AI-agent approvals

02

Rehearse a cyber crisis

Simulate an incident end to end across the people, roles, authority and escalation paths involved.

Best for

  • Ransomware and data breaches
  • C-suite and board exercises
  • Insider, third-party and AI-agent incidents

Who built it

Built by a cybersecurity pioneer.

Stuart McClure founded Foundstone, served as global CTO of McAfee and co-founded Cylance, acquired by BlackBerry for $1.4 billion. His experience shapes how WethosAI tests the human decisions that critical controls and crisis plans depend on.

Stuart McClure, founder and CEO of WethosAI

Why now

AI is increasing the pressure on human controls.

  • Attackers use AI to create faster, more personalized impersonation attempts.
  • AI agents can request access, recommend payments and initiate operational actions.
  • Existing controls rarely test how people and AI agents behave together under pressure.

How It Works

Model. Simulate. Find the pattern. Test the fix.

  1. 01

    Model the people

    Represent the employees, leaders and attackers who can change the outcome.

  2. 02

    Add operating context

    Include controls, policies, authority, escalation paths and business constraints.

  3. 03

    Run repeated simulations

    Vary urgency, evidence, authority and attacker tactics to expose recurring failures.

  4. 04

    Change and rerun

    Test a revised control and measure whether the outcome improves.

What the simulation surfaces

  • Recurring failure patterns
  • Authority and escalation breakdowns
  • Control-change recommendations
  • Before-and-after rerun results

Who Participates

Model the people and expertise that shape the outcome.

Simulations combine specific Modeled Stakeholders, permission-based Twins and purpose-built Expert Agents, including attackers, regulators and incident-response experts.

Models surface probabilistic patterns and pressure points. They do not diagnose people, predict behavior with certainty or act with anyone’s authority.

Trust

Built for enterprise security requirements.

SOC 2 Type II

Independent attestation

SSO

Access follows your directory, including removal

Role-based access controls

Who runs, views, exports

No customer data used to train shared models

Test the human decisions your security depends on.

Bring us one critical control or crisis scenario. We’ll show you how WethosAI models it, runs it repeatedly and tests the fix.

By submitting this form, you agree to our Privacy Policy. We’ll never share your information with third parties.

Talk to our team