AI Agents Coming Soon— AXGNT and AXUMIS are almost here. Autonomous AI pentesting that thinks, reasons, and adapts like human experts. Operating 24/7 at machine speed.AI Agents Coming Soon— AXGNT and AXUMIS are almost here. Autonomous AI pentesting that thinks, reasons, and adapts like human experts. Operating 24/7 at machine speed.
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Program design

Choose the right shape

Nine ways to structure a security program

A program model is the contract between your organisation and the people testing it: who may test, what they may test, how findings are rewarded, and how public the process is.

Models can run in parallel against the same scope — most mature programs use more than one.

Platform viewLive
  • Submittednew
  • Triagedvalid
  • Duplicate checkclear
  • Rewardapproved

The models

What each model is for

Pick by how much control you need, whether you are paying for findings, and how sensitive the targets are.

Vulnerability Disclosure Program

A standing safe channel for unsolicited reports. Recognition rather than reward, no audience to manage.

Responsible Disclosure Program

Disclosure with a formal coordination process and defined timelines — for organisations that need the paper trail.

Private Bug Bounty

Invited researchers only, rewarded per validated finding. The usual starting point before a program goes public.

Hybrid Bug Bounty

A trusted core plus a wider audience, opened in phases once triage volume is understood.

Ad hoc and time-limited bounty

A defined audience and window for a specific release, migration, launch or compliance deadline.

Challenges and contests

Competitive formats aimed at a specific problem, a target class or community recruitment.

Crowdsourced security testing

A vetted community on a structured engagement — more control than an open bounty, more breadth than a boutique test.

PTaaS engagement

Certified experts, named testers, scheduled depth and evidence built for review.

Combined programs

Disclosure as the always-on channel, a bounty for continuous coverage, expert engagements for scheduled depth.

At a glance

Choosing between the models

The three questions that usually settle it: depth or breadth, paying or not, and how sensitive the target is.

CapabilityDisclosureCrowd-sourced bountyExpert engagement
Who testsAnyone following policyInvited or public researchersCertified, named experts
Continuous coverage
Scheduled depth
Rewarded findingsContractual
Evidence for auditors
Rules of engagement
Source code review
Certification artefacts
Access to internal systems

Source code review, retesting, VPN access and compliance exports are Professional-tier. Dedicated tester pools and SLA guarantees are Enterprise-tier.

Common machinery

What every model shares

Because the machinery is shared, changing or adding a model does not mean rebuilding your process.

  1. 01

    Scope

    In-scope and out-of-scope assets, grouped by type, tier and priority.

  2. 02

    Rules and governance

    Engagement policy, participation requirements and approval queues.

  3. 03

    Onboarding

    Invitations, policy or NDA acceptance, and participation status.

  4. 04

    Communications

    Program announcements, realtime chat and retained history.

  5. 05

    Report handling

    Classification, duplicate checks, reviewer guidance and lifecycle state.

  6. 06

    Remediation and money

    Ownership and deadlines, proof of closure, rewards and metering.

Documentation

Model selection, in detail

Program models

All nine models, what each is for and how to combine them.

Read the doc

Scope and rules of engagement

What to write into the policy for each model.

Read the doc

PTaaS engagement lifecycle

The expert-led model from planning to certification.

Read the doc

Common questions

Program design questions we hear most

Where should we start?
Most organisations start with disclosure — it establishes scope, response habits and a safe inbound channel with no reward budget. A private bounty on a defined asset set usually comes next.
Can we change models later?
Yes. Scope, severity bands, rules of engagement and the triage pipeline are shared, so moving from private to hybrid or adding expert engagements reuses the work already done.
Do we need a bounty if we buy expert testing?
Not necessarily, but they answer different questions. Expert engagements give scheduled depth and evidence; a bounty keeps testing running between engagements. Most programs eventually run both.
How do we avoid testing the same things twice?
Because both models read the same scope definition, a target is defined once. Coverage is a planning question, not a duplication problem.

Not sure which model fits?

Tell us the assets, the constraints and what your stakeholders need to see. We will recommend a model and a rollout order rather than a menu.