Security Binder

AI Governance for Small Teams

Put policy, risk, and incident response around the AI you already use.

AI governance becomes manageable when it turns into three owned records: the rules for using and buying AI, the risks attached to real use cases, and the response plan for when something goes wrong. Security Binder guides small teams through all three using NIST AI RMF concepts as the organizing structure.
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AI use spreads faster than governance

AI can enter through employee tools, SaaS features, vendor integrations, APIs, and custom models. A short acceptable-use memo cannot answer who approves those systems, what data may be shared, how vendors are evaluated, which risks are monitored, or how an AI-specific incident is contained.

A useful starting point is an inventory connected to decisions: every use case has an owner, data boundary, risk profile, monitoring expectation, and response path. The resulting documents should change when the inventory or the organization's risk decisions change.

The three-document AI governance set

Each document has its own guided workflow, but the set is designed to work together: policy sets expectations, assessment prioritizes risk, and incident response prepares action.

AI Governance Policy

Set acceptable-use rules, procurement and evaluation requirements, data-handling boundaries, accountable roles, monitoring expectations, and a process for shadow AI.

AI Risk Assessment

Inventory AI systems and data flows, identify risks such as inaccuracy, bias, privacy, security, dependency, and transparency, then record treatment priorities.

AI Incident Response Plan

Prepare for data leakage, prompt injection, harmful or inaccurate outputs, vendor incidents, misuse, model problems, containment, investigation, recovery, and reporting.

One connected governance set

Keep policy, risk, and response decisions together so the team can review ownership, exceptions, vendor dependencies, monitoring, and follow-up as the AI inventory changes.
The workflows use concepts from the U.S. National Institute of Standards and Technology's AI Risk Management Framework.

How the workflow fits together

  1. 01

    Inventory how AI is actually used

    Cover approved tools, embedded vendor features, internally built systems, data types, business purposes, owners, and known shadow-AI paths.
  2. 02

    Set rules and assess risk

    Define acceptable use and procurement gates, then evaluate the risks that matter for each use case instead of treating every AI system as equivalent.
  3. 03

    Prepare oversight and response

    Assign monitoring, reporting, containment, investigation, recovery, and review responsibilities, then export the set for local completion and approval.

Sensitive detail stays on your side

AI inventories and incident plans can expose confidential use cases, data flows, vendor dependencies, prompts, and response procedures. Use aliases and non-sensitive drafting detail in the hosted workflow, then complete sensitive specifics and retain operational evidence locally. Read the full approach on the security page.

What this does not do

  • Security Binder does not determine which AI laws or contractual obligations apply and does not provide legal advice.
  • It does not test models, validate training data, monitor AI systems, detect incidents, enforce policy, or evaluate technical performance or bias.
  • The documents do not certify an AI system, establish regulatory compliance, or guarantee acceptance by a customer, auditor, regulator, or insurer.
  • Your organization must verify the AI inventory, risk decisions, controls, reporting obligations, and response procedures with qualified owners and advisers.

Related guides

Go deeper on the framework and individual documents before you start.

AI Governance Policy guide

See the acceptable-use, procurement, data, accountability, monitoring, and shadow-AI sections.

Open guide →

AI Risk Assessment guide

See how the workflow inventories systems and organizes AI risk identification and measurement.

Open guide →

AI Incident Response Plan guide

Prepare AI-specific detection, containment, investigation, recovery, and reporting procedures.

Open guide →

AI drafting vs. a documentation platform

Understand the difference between generating one document and maintaining a connected control set.

Open guide →

Turn scattered AI decisions into an owned governance set.

Build the policy, risk assessment, and incident response plan together, then keep sensitive system detail on your side.

Start AI governance documents

Security Binder prepares documentation and internal readiness workflows. It does not provide legal or audit advice and does not guarantee compliance, certification, customer acceptance, or any third-party outcome. Review exported materials with qualified professionals before relying on them.