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Accountable AI for public institutions.

Inventory AI use across departments, protect sensitive and controlled information, and keep AI activity auditable for public-records obligations.

The landscape

How AI is changing risk in government

Public-sector organizations face heightened expectations for transparency and accountability. Many governments now require inventories of AI use cases, and agencies handling Controlled Unclassified Information (CUI) or criminal-justice, tax, or health data have specific safeguarding obligations. AI-generated records may also be subject to public-records and retention laws.

What to do first

  • Maintain a public-facing AI inventory

    Build the internal inventory first; it becomes the basis for any required public reporting.

  • Authorize tools by data classification

    Map each AI tool to the data classifications it is approved for.

  • Add AI clauses to procurement

    Require vendors to disclose AI features, sub-processors, data retention, and training use.

Free readiness check

AI readiness check for government

A short, industry-specific check. You get the gaps your answers reveal, why each matters, and what to do next — not a score. Runs in your browser; no signup.

Six questions about authorized AI tools, AI use-case inventories, and decisions that affect the public. Answer for how things work today. Your answers stay in your browser; FlashTower records only anonymous usage events.

1.Are staff limited to AI tools authorized for your data and systems?
2.Do you maintain an inventory of your AI use cases?
3.Are AI uses that could affect people's rights, benefits, or safety identified and reviewed by an accountable official before use?
4.Are AI-generated documents and outputs retained according to your records schedule?
5.Is controlled or sensitive information technically blocked from unauthorized AI tools?
6.Do you tell the public when they interact with AI or when AI materially informs a decision about them?

Readiness summary

0 of 6 answered

Your summary lists each gap your answers reveal, why it matters in government & public sector, what to do next, and the public frameworks it maps to. It is not a score.

Based only on your answers, using fixed rules. Frameworks are listed for orientation; this summary does not determine whether you meet any law or standard and is not legal advice.

FlashTower findings are informational. No security system detects or prevents every threat, and FlashTower does not certify compliance or provide legal advice.

Common exposures

Where AI risk concentrates

Untracked departmental AI

Individual departments adopt AI tools independently, leaving the organization unable to produce an accurate inventory of AI use.

Sensitive and controlled information

Staff may use AI tools with constituent records, case files, or controlled information in systems that are not authorized for that data.

Records and transparency

AI prompts and outputs related to official business may be public records. Deletion by AI systems or vendors can conflict with retention schedules.

Procurement without AI terms

Existing contracts often lack terms covering vendor AI features, data use, and model training.

FlashTower rules

Rules most relevant to government

These are real rules from the FlashTower Risk Engine. Each fires only when your answers meet its stated condition.

  • FT-GOV-001 · Governance

    No inventory of AI tools and agents

    The organization does not maintain (or cannot confirm) an inventory of AI tools and agents in use.

    Mapped to: NIST AI RMF GOVERN 1.6 · NIST CSF 2.0 ID.AM-02 · ISO 27001 A.5.9 · SOC 2 TSC CC6.1

    High
  • FT-GOV-010 · Governance

    Unapproved AI tool handles sensitive data

    The AI system is not approved (employee-adopted) and accesses sensitive data.

    Mapped to: NIST AI RMF GOVERN 1.6 · NIST CSF 2.0 ID.AM-02 · ISO 27001 A.5.10

    High
  • FT-LOG-001 · Logging

    No centralized logging while AI systems can take actions

    AI activity is not captured in centralized logs, and at least one AI system can act without per-action human approval.

    Mapped to: NIST CSF 2.0 PR.PS-04 · NIST AI RMF MANAGE 4.1 · ISO 27001 A.8.15 · SOC 2 TSC CC7.2

    High
  • FT-PRM-012 · Data Exposure

    AI can delete data without approval

    The AI system can delete data or records without per-action human approval.

    Mapped to: OWASP LLM Top 10 LLM06 · NIST CSF 2.0 PR.DS-11 · ISO 27001 A.8.13

    High
  • FT-VEN-001 · Vendor Risk

    AI vendors are not reviewed before handling regulated data

    The organization handles regulated data and does not review AI vendors before adoption.

    Mapped to: NIST AI RMF GOVERN 6.1 · NIST CSF 2.0 GV.SC-06 · ISO 27001 A.5.19 · SOC 2 TSC CC9.2

    High
  • FT-DAT-001 · Data Exposure

    AI data retention not configured for regulated data

    The organization handles regulated data and has not configured AI data-retention settings.

    Mapped to: NIST CSF 2.0 PR.DS-01 · ISO 27001 A.8.10 · SOC 2 TSC C1.2

    Medium

This page provides general information, not legal advice. FlashTower does not certify compliance with HIPAA, GLBA, NYDFS Part 500, professional-conduct rules, SOC 2, FedRAMP, or any other law or standard; findings and gaps are mapped to frameworks for orientation only. Consult qualified counsel and your compliance advisors about your obligations.

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