01 / Security for AI

Put security around your AI project, not just its model.

An AI project is more than a model. Its data, identities, tool permissions and deployment environment all shape the security work. Start by defining the whole system.

Discuss your security use case

The decision to make

What must be evaluated before your AI project reaches sensitive systems or users?

Map the system, not just the model.

Identify intended users, retrieval sources, model and runtime providers, and the tools an agent can reach. A high-level system map should make data classifications and deployment constraints visible before access is granted.

Set the boundaries before adding autonomy.

Define authorized data use, identity boundaries and permitted tool actions. Decide where application-enforced controls are needed and which actions always require a person’s approval.

Agree the evidence that justifies release.

Scope threat scenarios, failure behavior and evaluation cases. Assign monitoring ownership and a stop or rollback path. An assessment informs a release decision; it is not a guarantee of security.

Illustrative workflow—not a client deployment.

A bounded path
through the work.

  1. 01

    Read

    A knowledge assistant reads only approved documents.

  2. 02

    Request

    An action request is checked against identity and tool permissions.

  3. 03

    Authorize

    The designated owner reviews any action outside the agreed read-only boundary.

Scope the engagement

Proposed outputs

Agree the deliverables and acceptance criteria for your use case before work begins.

  • System and scope map
  • Prioritized risk and control questions
  • Validation plan and release acceptance criteria

Make readiness testable

Questions to evaluate

  • Where will the system run, and who owns its controls?
  • What information can it use—and what must stay out?
  • Which failure would make release unacceptable?
See the proposed approach

Start a conversation

Start with a bounded use case.

What do you want to protect or improve? Bring the objective, the operating constraints, and the questions your team needs to answer.

Discuss your security use case

Keep the first conversation high level and nonsensitive.