DW-GPT

Initialising secure session

Certification for AI-assisted security work

Powerful AI. Accountable humans.

DETECT. ANALYZE. PREVENT.

DW-GPT certifies the officers, analysts and responders who deploy, supervise and audit AI agents — so every alert, lead and decision stays explainable, lawful and owned by a human.

  • 4 specialist tracks
  • 3 credential levels
  • Responsible AI in every path

Agent Operations

Live · Simulated

Alerts triaged
12,408
Anomalies flagged
1,294
Cases correlated
386
Awaiting human review
7
  • T+02:03:20EWS-SIGNAL 0.39→ MONITOR
  • T+02:02:43PHISH-CLSTR 0.74→ HUMAN REVIEW
  • T+02:02:06KYC-DRIFT 0.66→ ANALYST QUEUE
  • T+02:01:29TXN-BURST 0.82→ HUMAN REVIEW

Consequential actions require a named human reviewer. *Low-risk duplicates only; every merge is logged.

Built with practitioners across policing, finance and public safetyPartner logos: placeholder

  • [Partner Police Service]
  • [National CERT]
  • [Partner Bank]
  • [Financial Intelligence Unit]
  • [Emergency Management Agency]
  • [Fintech Partner]
  • [Public Safety Institute]
  • [Regional CSIRT]

01The problem → the shift

Threats move at machine speed. Most teams still triage by hand.

Volume, velocity and noise are outpacing every investigative team we speak to. Hiring alone will not close the gap — but handing decisions to unsupervised software is not an option either.

01 · Volume

3.4×

growth in fraud alerts per analyst over [PERIOD] [STAT]

Transaction monitoring, public reports and inter-agency referrals grow faster than headcount. Queues become backlogs; backlogs become losses.

02 · Velocity

48 min

median time from initial access to lateral movement [STAT]

Attackers automate reconnaissance and exploitation. Triage measured in hours cannot contain an intrusion measured in minutes.

03 · Overload

70%

of alerts closed as false positives [STAT]

Skilled investigators spend their day clearing noise — while the signal that matters waits in the same queue.

PlaceholderFigures above are illustrative layout values, not research findings. Replace each with a sourced statistic and citation before publication.

→ The shift

Supervised agents change the equation — humans keep the verdict.

  1. 1

    Agents do the sifting

    Collection, deduplication and first-pass correlation run continuously, at machine speed, with every source cited.

  2. 2

    Humans do the deciding

    Every consequential action stops at a named reviewer with the authority to approve, amend or refuse it.

  3. 3

    Everything leaves a trail

    Prompts, data sources, model versions and decisions are logged so any outcome can be reconstructed and challenged.

Where an analyst’s time goes

Illustrative workflow — not measured data.

Without agents

Collect · 34%
Triage · 30%
Correlate · 26%
Decide · 10%

With supervised agents

Review evidence · 30%
Challenge & verify · 30%
Decide · 40%
Human decision time Human review of agent work Manual processing

02Certification tracks

Four specialisms. One standard of accountability.

Each track pairs hands-on agent tooling with the judgement to supervise it. Every track includes the mandatory Responsible AI core.

Select a track to see modules, skills, prerequisites and exam format.

  • TRK-01

    AI-Agent Policing & Investigations

    Put investigative agents to work on case triage, evidence correlation and OSINT — without breaking chain of custody or disclosure duties.

    • Agent-assisted case triage
    • Evidence correlation
    • OSINT workflows
    • + 2 more modules
    6 weeks · ~48 h
  • TRK-02

    Financial Fraud Intelligence

    Deploy transaction-monitoring and AML/KYC agents that surface real risk, map mule networks and keep investigators firmly in the loop.

    • Transaction-monitoring agents
    • AML/KYC automation
    • Anomaly detection in practice
    • + 2 more modules
    6 weeks · ~52 h
  • TRK-03

    Cybercrime Response

    Orchestrate agent-driven triage, incident response and forensic support — with approval gates on every containment action.

    • Agent-driven threat triage
    • Incident response orchestration
    • Digital forensics support
    • + 2 more modules
    8 weeks · ~64 h
  • TRK-04

    Early Warning Systems

    Fuse multi-source signals into calibrated early warnings, prioritise alerts sensibly and escalate crises through human-owned playbooks.

    • Predictive risk signals
    • Multi-source data fusion
    • Alert prioritisation
    • + 2 more modules
    6 weeks · ~46 h

→ What you earn

Every track ends in a signed, verifiable credential.

Sample certificates with fictional identities. Open one to view it full screen, switch tracks, or print it.

03Certification levels

From operator to auditor. Earned, not attended.

Three levels, each assessed in the sandbox and in front of people. Credentials expire so that skills keep pace with law, policy and tooling.

  1. L1 · Level 1

    Associate

    Operate supervised agents safely within established procedures.

    Hours
    40
    Labs
    8
    Valid
    2 years

    Requirements

    • Responsible AI core module
    • Foundation units of one track
    • Pass the Associate exam (scenario lab + written)

    Renewal: continuing professional development + update assessment.

  2. L2 · Level 2

    Professional

    Design and lead agent-assisted workflows for a team.

    Hours
    90
    Labs
    18
    Valid
    3 years

    Requirements

    • Associate credential
    • Complete one full certification track
    • Scenario lab, written exam and oral defence

    Renewal: continuing professional development + update assessment.

  3. L3 · Level 3Highest

    Expert

    Govern, audit and assure AI-agent programmes across an organisation.

    Hours
    160
    Labs
    30+
    Valid
    3 years

    Requirements

    • Professional credential in two tracks
    • Capstone: audit a live-like agent deployment
    • Peer board review and ethics interview

    Renewal: continuing professional development + update assessment.

04Interactive lab preview

Watch an agent reason. Then you decide.

This is how every DW-GPT lab ends: the agent gathers, correlates and scores, then stops. Nothing consequential happens until an accountable human reviews the evidence. Your call is graded against an assessor's, and not every agent is right.

1 · Choose a scenario

One scenario contains a flawed recommendation. Verify before you trust.

2 · Run the agent

Simulation · All accounts, people, places and events are fictional and generated for training. No real data is used or transmitted.

agent-console://sim/SIM-FIN-0192

Simulation

$ agent --case SIM-FIN-0192 --mode supervised
Ready. Press “Run simulation” to begin.

Confidence

—

Evidence surfaced · 0/4

05Mandatory core module

Responsible AI in Law Enforcement

Capability without accountability is a liability. This module is required in every track and assessed at every level — because the people affected by these systems deserve decisions that are lawful, fair and explainable.

“The agent can find the pattern. Only a person can be answerable for what happens next.”
DW-GPT design principle
  1. 01

    Human oversight

    Agents recommend; named, accountable people decide. Every consequential action passes a human checkpoint with the authority to stop it.

  2. 02

    Bias & fairness

    Test data and outputs for disparate impact before deployment and continuously after. Know which communities your error rates fall on.

  3. 03

    Privacy & data protection

    Collect the minimum, retain only as long as lawful, and apply purpose limitation to every dataset an agent can reach.

  4. 04

    Legal admissibility

    Understand disclosure duties, expert-evidence rules and how AI-assisted findings are tested and challenged in court.

  5. 05

    Explainability

    If you cannot explain why an agent flagged something, you cannot act on it. Require reasons, sources and confidence with every output.

  6. 06

    Audit trails

    Log prompts, sources, model versions, reviewers and decisions so any outcome can be reconstructed, scrutinised and corrected.

06Learning experience

Practice where mistakes are free. Prove it where it counts.

Built for working professionals: flexible self-paced labs, live cohort sessions, and credentials that stand up to scrutiny.

  • Sandbox labs

    Isolated environments with synthetic case data, realistic tooling and resettable state. Break things safely; nothing touches production or real people.

  • Scenario simulations

    Branching exercises where the agent is sometimes wrong — on purpose. You learn when to trust, when to verify and when to refuse.

  • Instructor-led cohorts

    Small cohorts led by practitioners from policing, financial crime and incident response, with live debriefs.

  • Digital badges

    Shareable badges for each level and track, with the skills evidenced listed in the badge metadata.

  • Verifiable credentials

    Cryptographically signed certificates that employers, courts and auditors can verify in seconds.

  • Progress analytics

    Individual and team dashboards: lab performance, oversight decisions and readiness by competency — ready for training directors and procurement reviews.

07Credential verification

Verifiable in seconds. By anyone who needs to know.

Every DW-GPT credential is signed and publicly verifiable, so employers, courts and auditors can confirm competence without a phone call.

Demo registry. Try a sample ID:

Awaiting certificate ID

08Voices from the field

Trusted by people who have to defend their decisions.

  • Placeholder testimonial
    The oral defence was the hardest part — and the most useful. My team now asks “why did the agent flag this?” before anything else.
    [Name Placeholder]Detective Inspector, [Partner Police Service]

09Pricing & enrollment

Seats for individuals, teams and whole agencies.

Transparent per-seat pricing for teams; procurement-friendly terms for government and enterprise.

IndicativePrices in USD, excl. tax. Final terms confirmed at enrollment.

  • Individual

    For professionals certifying on their own.

    $39/ month

    Billed annually

    • One certification track of your choice
    • Responsible AI core module
    • Sandbox labs and scenario simulations
    • One exam attempt per level
    • Verifiable credential and digital badge
  • Recommended for teams

    Agency / Team

    Train units and departments together.

    $31/ seat / month

    $775 per month for 25 seats

    25
    550 · −10%100 · −15%250
    • Everything in Individual
    • Access to all four tracks
    • Scheduled cohorts for your team
    • Team progress and readiness analytics
    • Seat management and admin roles
    • Invoicing and purchase-order billing
  • Enterprise / Government

    Agency-wide programmes with sovereign controls.

    Custom

    Framework and tender-ready quotes

    • Everything in Agency / Team
    • Sovereign or on-premises sandbox options
    • Curriculum aligned to your SOPs and legal framework
    • Closed, instructor-led cohorts
    • SSO, audit exports and data-residency controls
    • Procurement support: [FRAMEWORK AGREEMENT PLACEHOLDER]

10FAQ

Questions procurement will ask.

Can’t find what you need? Book an agency demo and we’ll walk your team through the programme.

  • No. The program is built for practitioners, not engineers. You will configure, supervise and audit agents through purpose-built interfaces. The Cybercrime Response track assumes working knowledge of logs and networking; the others assume only your professional experience.

READY WHEN YOUR TEAM IS.

Put AI to work. Keep humans in command.

Enroll individually, or talk to us about certifying a unit, a department or an entire agency.

The monthly briefing

Cohort dates, curriculum updates and policy changes affecting AI in enforcement. No spam; unsubscribe anytime.