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AI Asset Protection Evidence & Implementation Kit

$249.00
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AI Asset Protection for Security Operations Teams · weights, training data and the orchestration layer, defended · Evidence & Implementation Kit
Defend model weights, training data and the orchestration layer as the crown-jewel assets they are, without waiting for the exfiltration or the ransomware event to find out where the gaps were.
Every control handed to you adopt-ready, from AI asset inventory and orchestration access through immutable, integrity-verified model storage, network segmentation and egress control, exfiltration detection, and an AI-specific incident and recovery plan a security review examines.
Ready in a weekend, not a quarter.

Here is the honest situation. Here is the honest situation. Model weights are the distilled output of your data, compute and research spend, training data is often your most sensitive and least reproducible asset, and the orchestration layer that moves them, the registries, pipelines, vector stores, MLOps and serving stacks, was built for velocity and is the least-reviewed high-value surface most security teams own. Weights get copied out through an over-permissioned pipeline token, training data leaks through a mislabeled bucket, a poisoned dataset changes a model nobody can prove was clean, and ransomware that reaches the artifact store takes the one thing you cannot rebuild from a backup you never took. Doing this well does not mean scanning harder. It means treating AI assets as crown jewels: inventorying and classifying every weight, dataset and pipeline, locking down who and what can reach the orchestration layer, storing models immutably with signed provenance so tampering is visible, segmenting and controlling egress so a compromise cannot phone the weights home, watching for the exfiltration signatures directly, and rehearsing the AI-specific incident so recovery is tested rather than hoped for. Where teams fall short is predictable: no inventory of AI assets, orchestration tools authenticated weakly or not at all, weights stored mutably with no signing or provenance, unbounded egress from training and serving, and no backup or tested restore of the models and datasets that matter most.

This Kit removes the guesswork. It is AI asset protection written as adopt-ready controls you personalize in a weekend, with the evidence a security, assurance or risk reviewer examines.

What you get, the moment you buy

18
Controls, adopt-ready. Every control, written so you personalize and apply it.
18
Evidence-they-examine checklists. For each control, exactly what a reviewer examines, plus where teams fall short, so you close the gap first.
1
Control Matrix, pre-built. Every control in a working spreadsheet, ready to record status, owner and evidence location.
1
Gap & Readiness Assessment. Score each control and the workbook returns your readiness as a single percentage, and exactly what to fix next.

Grounded in security operations, cloud and platform security, and machine-learning infrastructure practice applied to model weights, training data and orchestration. Editable Word and Excel files. This is a practitioner method, not a substitute for a security assessment of a specific system.

Weights and data are crown jewels
The orchestration layer moves your most valuable assets and is the least reviewed, and the fix is treating AI assets as crown jewels, not bolting security on after. This Kit builds the inventory, orchestration-access, immutable-storage, segmentation, detection and recovery controls that make your AI assets defensible, with the evidence a reviewer asks for.

What one control looks like

This is the opening control, where the assessment begins. All 18 are built to this depth.

AAP-1 Maintain a living inventory of every AI asset and the components that reach it ASSET INVENTORY AND CLASSIFICATION
Put this control in place

Require [your organization name] to maintain a living inventory of every store that holds a model weight file, a training or fine-tuning dataset, an embedding index or a prompt and retrieval corpus, recording for each where it physically resides, which identities can read or write it, and which orchestration components touch it during a normal training or serving run, so the AI asset estate is visible before it is defended.

Control note.

The inventory is the input to every other control; an asset not on it is a control gap by definition.

Evidence a reviewer examines
  • An AI asset inventory listing each weight store, dataset store, embedding index and prompt corpus with its physical location
  • A record per asset of which identities can read or write it and which orchestration components touch it
  • Evidence the inventory is bound to the pipeline or reviewed on a schedule so new artifacts are captured
Common finding they raise: Teams list the primary registry but miss dataset stores, vector indexes, prompt corpora and the copies that experimentation scatters across notebooks and training nodes.

Why this is not another template pack

  • The evidence is the point. An AI asset you cannot evidence as inventoried, access-controlled and recoverable is an incident waiting to happen. This tells you what a security review examines and where teams fall short, for every control.
  • The AI specifics built in. The asset inventory and classification, orchestration access and identity, immutable and signed model storage, segmentation and egress control, exfiltration detection and AI-specific incident response are written into the controls, not left generic.
  • Built on real practice, not one person's opinion, grounded in how AI assets are actually attacked and how model, data and orchestration infrastructure is actually defended and recovered.
  • It compounds. This work shares its shape with security operations, zero trust and incident response, so it feeds your wider security practice.

Who buys this

Security engineers, SOC analysts, ML platform operators and the assurance owners who have to sign off that AI assets are protected. Whether this is your first structured pass at AI asset security or a maturity uplift, you save weeks and walk in with your inventory, orchestration-access, immutable-storage, segmentation, detection and recovery controls structured.

By the end of the weekend you will have
✓  An adopt-ready control for all 18 areas
✓  A completed control matrix
✓  The evidence a reviewer examines
✓  Weights, data and orchestration all covered
✓  A readiness percentage and a fix list
✓  The highest-risk gaps closed

Common questions

Is it really editable? Yes. Word and Excel files you own and adapt. No portal, no subscription.

Does it cover the whole AI estate? Yes. Asset inventory and classification, orchestration access and identity, model and weight storage integrity, network segmentation and egress control, exfiltration monitoring and detection, and incident response and recovery each have their own controls with their own evidence.

Is this tied to one platform or model? No. The controls are principle-level, the asset inventory, orchestration access, immutable signed storage, segmentation and egress, exfiltration detection and AI-specific recovery, so they apply whatever registries, pipelines and serving stacks you run, alongside your security team rather than replacing it.

What if it is not for me? A 30-day money-back guarantee.

Do not let your model weights leave through a gap you never inventoried.
Every control is fast to adopt with the Kit. It is instant, and it is guaranteed.
Add it to your cart and be ready this weekend.

Instant digital download · 30-day money-back guarantee · The Art of Service Pty Ltd, GPO Box 2673, Brisbane QLD 4001 · support@theartofservice.com

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