How to Answer Legal and Security Questions About AI Coding Tools

Four controls decide whether security will sign off: who has access, what the policy allows, how data moves and whether anyone measures adoption. Settle them before the pilot starts, because they apply whichever tool you pick.

The owner column matters as much as the controls. A control with no named owner goes unchecked until someone has to answer for it. If nobody owns identity, for example, nobody checks that people who leave lose access.

Security does not own all four. Identity is IT's system of record, and policy is engineering leadership's call about what the team may ship. Adoption belongs to whoever owns developer experience. Security owns the data-flow question and the audit path, and it will ask about both.

Data flow is the question that stalls approvals, so answer it before the review meeting. Write down what the tool can read, what it can change, what leaves your network and where any of it is retained. Most of the answers come from the vendor's documentation and your own configuration. Ask the vendor for anything the documentation leaves out, and note where each answer came from.

The stack below breaks a rollout into layers. Policy comes first because the other layers carry it out. Identity controls who gets access, workflow moves code from prompt to merge, and measurement shows whether the rollout is working.

Start narrow, and expand only when the pilot earns it.

1. 1Week 1: pick one team, one repo and three realistic tasks.
2. 2Week 2: write the workflow standard from the pilot.
3. 3Week 3: train champions and add policy guardrails.
4. 4Week 4: expand only after quality, cost and review load are visible.

Treat the four weeks as an order, not a deadline. The first two weeks mostly show you what your standard should say. A pilot too broad to watch closely can't teach you that, so it starts with one team and a few real tasks. Pick the team that will tell you when something breaks, even if another team would produce a better-looking result. Put policy and training in place before the rollout grows, because both are harder to add once people have formed their own habits.

Expansion is the step to slow down. After a good pilot, the pressure to widen access can arrive before the evidence does. Before you add teams, answer three questions with numbers: did review load go up or down, what does a developer cost per month, and did quality hold.

Record the same numbers before the pilot starts, so you have a baseline to compare against. Two more weeks of the same pilot cost less than a rollout you have to walk back, so run them if any answer is still a guess.

Cursor ships often, so advice about it can go out of date. The table summarizes Cursor's recent releases, so you can check this page against the current product. For each release's date and sources, see What's new in Cursor 2026.

The retention question. Privacy ModeCursor's setting that guarantees code data is not used for training by Cursor or its model providers, and that an admin can enforce org-wide; data-retention terms are a separate, contractual layer. Press Enter for the full definition. guarantees that your code is never used for training by Cursor or by the model providers. Most models also run under zero-data-retention agreements, so providers don't store your inputs. None of that keeps your code inside your network: code is still sent to a provider to generate each response. Make that distinction yourself before the reviewer finds it in the docs.

Getting it slightly wrong costs more than the correction. A reviewer who catches one overclaim has reason to recheck every other answer you gave, including the accurate ones, and a review that was nearly finished starts again.

The deployment question works the same way. Cursor's enterprise page says it doesn't offer on-premises deployment today, and its help center says the agent loop, including inference, stays in Cursor's cloud. Self-Hosted Machines run the agent's tools on your own machines. That is a real answer to a narrower question, and a reviewer who has read the docs will know the difference between the two claims.

Tell them which of three records answers their question, because the audit log is not the one they are picturing. On the Enterprise plan, Cursor's audit log covers security events and administrative actions: logins, user additions and removals, role changes, API keys, spend limits, team settings, Privacy ModeCursor's setting that guarantees code data is not used for training by Cursor or its model providers, and that an admin can enforce org-wide; data-retention terms are a separate, contractual layer. Press Enter for the full definition. changes, team rules and hooks. Prompts, agent responses and generated code are not in it.

For the code itself, Cursor recommends hooks that fire when a prompt is sent and when the agent writes code. Both send their records to a compliance endpoint you own. Repeat Cursor's guidance in the meeting: log metadata rather than content, since prompts and diffs can contain sensitive information.

If the real question is who wrote a given line, point them to Cursor BlameAn augmented git blame that records line-level human and agent co-authorship, so you can trace which code was written by AI versus a person. Press Enter for the full definition., also on the Enterprise plan. It adds AI attribution to git blame, line by line, so during an incident you can tell which lines came from an agent before anyone opens a diff. A team admin has to turn it on first, so do that before the incident.

Send the documents. Through trust.cursor.com, you can request Cursor's SOC 2 Type II report and an executive summary of its latest penetration test. For the data flow, link Cursor's privacy and data governance page, which describes the two ways data leaves your environment. Cursor publishes its standard DPAData Processing Agreement. The contract spelling out exactly how a vendor may process your data: purposes, subprocessors, retention and breach duties. The document privacy reviews actually read. Press Enter for the full definition. at cursor.com/terms/dpa, so you can attach it today. A reviewer can file a document, but a paragraph in your email has to be transcribed first.

Since August 13, 2026, you can attach a second document that covers what SOC 2 does not. Cursor's AIUC-1 certification, audited by Schellman, combines a controls audit with adversarial testing of the agents themselves. The report is in the same Trust Center.

Every attestation has a scope, and a reviewer can fairly ask about it in writing. Cursor's announcement states the AIUC-1 scope as its key agent surfaces, including the IDE and cloud agents, tested with a representative enterprise configuration. Quote that scope as written, because a reviewer will ask whether your configuration matches the one that was tested.

Then volunteer the limits nobody asked about, such as the missing on-prem option and what the audit log leaves out. A limit the reviewer finds alone looks like one you hoped they would miss, and that costs more time than the disclosure would have.

Team size changes the deliverable more than the facts. On a small team, the person asking is someone you can talk to, so being exact about what the tool does matters more than paperwork. In a larger company, vendor risk wants artifacts with dates on them, and a security lead's comfort is not something a procurement process can attach to a record.