ConsultingWorkbench-backed AI security engagements — map, attack, defend, and prove your AI systems.
Scope a Review
Publication DSL deliverables

See the artifacts serious AI Product Security work actually produces.

These samples show the maps, matrices, evidence packs, risk registers, and executive summaries that turn advisory work into buyer-ready proof and engineering action.

Guided sample pack

Northstar Support Cloud

One fictional engagement ties the deliverables together: discovery, inventory, architecture, retrieval authorization, tool permissions, evidence, release gates, and remediation.

How to read it

Start with the intake pack, then follow the artifact chain to launch readiness and remediation.

Buyer-safe posture

This is a sample engagement, not an internal source dump.

Open the guided tour →

Buyer journey

What you actually receive

01

Discovery and intake

02

Inventory and architecture

03

RAG and tool proof

04

Evidence and questionnaire support

05

Release gate and remediation

06

Red-team summary and roadmap

Catalog structure

The catalog is grouped by buyer stage.

Public flagship artifacts lead the page, followed by technical deep dives and appendix assets. That keeps the gallery useful for buyers instead of just complete for authors.

Public flagship

Buyer-ready proof artifacts that should lead the catalog and service pages.

sample
Secondary / technical deep dive

Supporting technical artifacts that deepen the proof chain.

technical deep dive
Appendix / internal / supporting

Long-pack support material that should stay behind the main catalog surface.

appendix
Why this matters

Buyers do not buy process. They buy proof.

The deliverables make the service concrete before the first call. They show the shape of the work: boundaries, permissions, controls, risks, evidence, decisions, and remediation.