NEW

Start with the pressure: sales, launch, abuse, agents, data, or guardrails

Deliverablesdeliverable
deliverable
public-sample

AI Security Remediation Roadmap

A sequenced 30/60/90-day roadmap that turns AI security findings into owned work, release gates, retest criteria, and executive decision points.

12-22 pages
Client deliverable
public-sample
12-22 pagesReviewed 2026-05-25

Synthetic 30/60/90-day remediation roadmap converting AI security findings into owned work, dependencies, release gates, validation, and executive decision points.

System
Northstar Support Cloud / Customer Support Copilot
Environment
Production pilot

# AI Security Remediation Roadmap

Sample Deliverable

Executive Summary

This roadmap turns AI security findings into owned execution. It sequences the work that matters first: stop critical risk expansion, convert posture into buyer-ready evidence, and make the control model repeatable.

The roadmap is intentionally practical. It does not bury the client in a hundred recommendations. It names the work, owner, release gate, validation standard, dependency, and executive decision point.

Decision · planned

Recommended remediation decision

Approve a 90-day remediation plan. Keep broad rollout constrained until RAG authorization tests, agent action-class enforcement, approval bundles, and AI trace policy are validated.

Metrics

Roadmap Snapshot

Phases
3
Work items
9
Critical blockers
3
Executive decisions
3
Primary owners
7
Note

Assessment is not the finish line

The assessment finds the gaps. Revenue, trust, and risk reduction come from closing them in the right order.

Roadmap

Control map

30/60/90-day remediation roadmap

The roadmap connects risks to work items, owners, release gates, dependencies, validation criteria, and executive decisions.

Synthetic 30/60/90-day remediation roadmap converting AI security findings into owned work, dependencies, release gates, validation, and executive decision points.
Data unavailable
content/deliverables/data/ai-security-remediation-roadmap.json
No controls array found.

0-30 days: stop critical risk expansion

0-30 day work plan

Work itemOwnerRelease gateValidation
Implement RAG authorization regression testsSearch PlatformRequired before expanding retrieval sourcesnegative authorization tests pass end-to-end
Enforce agent action classes in the AI gatewayAI Platform EngineeringRequired before expanding agent tool accessaction classes enforced by policy
Keep critical tool actions blockedAI Platform EngineeringRequired until approval and trace controls are validatedcritical execution paths deny by default
Decision · conditional

Day 30 decision

Can retrieval source coverage or agent tool access expand? Default answer: no expansion without validated RAG authorization and agent action-class controls.

31-60 days: convert posture into buyer-ready evidence

31-60 day work plan

Work itemOwnerRelease gateValidation
Add approval context bundlesProduct OperationsRequired before sensitive actionsapproval UI shows target, diff, evidence, rationale, blast radius, rollback path
Finalize AI trace retention and access policySecurity EngineeringRequired before broad trace retentiontrace classes, retention, access roles, redaction, and incident procedures approved
Approve model provider boundary statementVendor Management and LegalRequired before questionnaire reuseapproved language maps to contract and architecture evidence
Decision · conditional

Day 60 decision

Can enterprise review proceed with current evidence? Default answer: proceed only with explicit partial-control disclosure and an owned answer bank.

61-90 days: make the control model repeatable

61-90 day work plan

Work itemOwnerRelease gateValidation
Add AI release gates to product security workflowProduct SecurityRequired for prompt, retrieval, provider, and tool-policy changesrelease checklist blocks incomplete requirements
Create controlled enterprise AI answer bankTrust and SecurityRequired before repeat enterprise review cyclesanswers map to evidence, owner, status, and last-reviewed date
Run AI incident response tabletopSecurity OperationsRequired before broad customer rollouttabletop proves trace reconstruction and owner handoffs
Decision · planned

Day 90 decision

Can AI security move from project remediation to operating cadence? Default answer: yes only if gates and evidence ownership are stable.

Dependencies

Roadmap dependencies

DependencyWhy it matters
Action classes before approval bundlesapproval context depends on a clear action class and target policy
Trace policy before incident tabletopincident response needs reliable trace evidence
Provider statement before answer bankapproved questionnaire answers must map to evidence

Execution rules

Checklist

Roadmap operating rules

Do not expand retrieval sources without authorization tests.
Do not expand agent tool access without action-class enforcement.
Do not enable critical execution without approval bundles.
Do not answer enterprise questionnaires from memory.
Do not count a policy as evidence unless implementation can be inspected.
Do not close a risk until validation evidence exists.
Findings

Roadmap Risks

Finding · high

The roadmap will fail if ownership is vague

Evidence: remediation-roadmap-review

AI security remediation crosses search, AI platform, product operations, security engineering, vendor management, and trust. Every work item needs one accountable owner.

Finding · medium

Evidence will lag implementation unless it is built into the work

Evidence: remediation-roadmap-review

Engineering teams may fix a control but fail to create buyer-ready evidence. Evidence needs to be a completion criterion, not a later documentation sprint.

Artifact

Related artifact: AI Security Maturity Scorecard

The scorecard identifies maturity gaps. This roadmap turns them into sequenced work.

/deliverables/ai-security-maturity-scorecard
Artifact

Related artifact: AI Release Gate Checklist

The release gate checklist turns the roadmap into a recurring engineering control.

/deliverables/ai-release-gate-checklist