AI in cybersecurity: five questions before the pilot

The short answer
Evaluate an AI security proposal against a specific task and a measurable baseline. Agree what data it can use, where a person must approve an action, and what evidence would justify continuing the pilot.

1. Which job are we trying to improve?

Replace a general goal such as adopting AI with a concrete task. For example, a team might want to reduce the time spent summarizing alerts for review. Define the starting point: who does the work, how long it takes, and what a useful result looks like. Keep the pilot narrow enough to evaluate.

2. What information will the system receive?

Ask the provider and your internal team to document the information involved, who can access it, how it is retained, and which uses are permitted. Have the appropriate security and privacy owners review the proposal. A demonstration using generic sample data does not establish suitability for your organization's sensitive information.

3. Which decisions stay with a person?

Write down the actions the system may suggest and the actions it may take. Decide when human approval is required, especially where an action could interrupt access or business operations. Identify who can stop the pilot and how the team would return to its previous process if needed.

4. What counts as a better result?

Choose measures that reflect the task. A draft summary could be assessed for usefulness, omissions, and the time required to correct it. A reduction in drafting time may not be a benefit if review time increases. Use a consistent comparison and record limitations, including the kinds of cases the pilot did not cover.

5. What is the full operating cost?

Consider subscription fees, implementation effort, staff training, review time, and ongoing management. Decide who will maintain the process after the pilot. A successful demonstration is only one input into a purchasing decision; the organization also needs a practical way to run the capability.

Create a one-page pilot decision

Record the task, permitted data, responsible owner, human approval points, baseline, evaluation method, and stop conditions. At the end of the pilot, document whether to continue, change scope, or stop. Treat uncertain benefits as questions to investigate rather than promised returns.

Continue the discussion

The Argent Reach webinar “AI in Cybersecurity: Hype vs. Real ROI” offers a starting point for a wider conversation. This article is an original planning checklist, not a transcript or a claim about the webinar's conclusions. Watch the webinar on the landing page and bring your organization's pilot questions to a conversation with the team.

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