General AI Development

AI Security & Governance

Policies, access controls and review steps that let you use AI while protecting people, records and your reputation.

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The challenge

Why this matters

Staff are already trying AI tools on their own. Without rules, sensitive records end up in places nobody approved, and nobody can say who saw what.

Security specialist at a laptop beside a glowing orange shield and padlock — AI Security & Governance

What it is

AI Security & Governance in plain words

We help you write a usable AI policy, sort data by what may and may not go into AI services, set up access controls and logging, and test your AI systems for misuse such as prompt injection and data leaks.

For each project we keep a short record: its purpose, the data it uses, who approves it, how it is tested and how a person can override it.

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Benefits

What you get

Rules people can follow

Short, plain policies and quick-reference guides.

Data sorted by sensitivity

Clear lines for what may leave your environment.

Tested for misuse

Reviews for prompt injection, data leakage and abuse.

Review records

Project files that leaders and auditors can read.

How it works

From first call to first result

Step 1

Review

Look at the tools and data in use today.

Step 2

Define

Draft policies, data classes and approval paths.

Step 3

Protect

Set up access, logging and filters.

Step 4

Probe

Try to break your systems, then fix the findings.

Details

What is included

Policy

Acceptable-use policy
Data classification
Approval workflow

Controls

Role-based access
Logging and retention
Content and output filters

Testing

Prompt-injection tests
Data-leak checks
Bias and accuracy spot checks

Illustrative scenario

A state agency gives staff an approved assistant, blocks uploads of records marked confidential and keeps a searchable log, so its records office can answer questions on how staff use AI.