LLDF Portal — Stage 2: Regulated Productivity Blueprint

Snapshot Leverage Backlog Action Plan Evidence Next Steps

How it works

This tool is a risk‑weighted backlog generator built on the LLDF agentic model. It locks the sensitivity tier to Tier 3 · Regulated, then weights every control by:

Risk‑weighted score = BaseImpact × Exposure × DataTier (3)
Exposure is derived from runtime toggles and execution conditions.

⚠ Don't paste regulated data here. Describe capabilities, not contents.

Deliverables

Layer Leverage MapHighest‑leverage LLDF layers for your exposure profile

Tier‑3 BacklogPrioritized controls mapped to L1–L6 + P/D/R

Action PlanAssign owners, group into sprints, export CSV

Evidence KitAudit-ready telemetry + runbooks checklist

Architecture Snapshot

Define your runtime exposure profile

Runtime exposure

Set the toggles that match how your AI system runs in production.

Tools / ActionsThe model can call tools (email, tickets, files, databases, workflow APIs).

RAG / RetrievalThe model retrieves documents (SharePoint, drives, wikis, KBs) as context.

MemoryThe system retains cross‑turn or cross‑session memory (persistent state).

Network / BrowsingThe system can fetch external sources at runtime (web or third-party endpoints).

🔒 Tier 3 · Regulated is locked for this blueprint

Reality checks (recommended)

Refine your leverage map without requiring vendor details.

Write actions enabled?

External sharing possible?

Runs unattended?

Primary surface

Highest‑Leverage LLDF Layers

Your leverage map (Tier 3 · Regulated)

Top 3 leverage layers

Generated from exposure toggles and execution conditions. Tier‑3 always elevates L4 and L6.

Layer heatmap (L1–L6)

Highest → do first · High → next 30–90 days · Baseline → required

Tier‑3 Control Backlog

Prioritized controls aligned to exposure toggles

Generate a prioritized backlog of Tier‑3 controls mapped to LLDF layers and Prevent/Detect/Respond categories.

Layer

P/D/R

Owner

Sort

#	Technique	Exposure	Risk Score	Layers	P/D/R	Owner
Generate a backlog to see the highest‑impact controls for Tier‑3 regulated leakage risk.

Action Plan Builder

Assign owners, sprint targets, and export

Selected plan items

#	Control	Owner	Sprint	Layers	P/D/R	Remove
No items yet. Open a backlog row and click "Add to action plan."

Plan summary

Items selected

Sprint 1 load

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Owners

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LLDF coverage

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Definition of Done (Tier‑3)
Each planned control needs: (1) config or code change, (2) detection/telemetry, (3) evidence artifact(s), (4) regression test.

Evidence Kit

Tier‑3 audit-ready · repeatable and defensible

Defines what to capture so you can prove controls work without creating unnecessary privacy risk.

System-level telemetry

Prompt/policy versions, routing decisions, context provenance, tool invocations, retrieval logs

Model behavior & safety

Policy compliance rate, grounding/citation coverage, refusal drift over time

Security outcomes (Tier‑3)

Leakage attempt/success rate, blocked tool misuse rate, deviation from intent/policy

Operational readiness

Runbooks, escalation paths, change approvals, MTTD/MTTR drills, regression pass rate

Tier‑3 KPI examples: leakage attempts vs success rate · unauthorized tool actions blocked · time-to-contain and time-to-remediate.

Next Steps

Stage 2 → Stage 3: Operationalize

Operationalize real behavior

Stage 2 produces a Tier‑3 backlog and execution plan. Stage 3 (Train) turns it into repeatable practice by role.

Assign owners for your top 10 controls and schedule a 2‑week sprint for the starter set.
Select 2–3 Tier‑3 workflows for pilots (regulated data + tools/RAG are priority).
Use the Evidence Kit to define "Definition of Done" and audit artifacts up front.
Run a regression harness after every prompt/model/corpus change (Tier‑3 invariants).

Generate the Tier‑3 backlog or add at least one control to the Action Plan to continue.

Runs entirely in your browser. Don't paste regulated data. Export your backlog, action plan, and evidence kit locally.