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Cursor

Cursor, governed.

Your developers ship faster with Cursor. Raidu sits between the IDE and the model, masks the code Cursor sends outbound, enforces your policy on every completion, and writes a tamper-evident record. No plugin. No IDE change.

The tool
Cursor
AI-first code editor, built on VS Code.

Cursor streams code context to frontier LLMs for tab completion, inline edits, and multi-file generation. Without governance, that context reaches the model before any policy applies.

Without governance

What breaks when Cursor runs ungoverned.

Four failure modes security and compliance teams see every week. Each one is an audit record waiting to exist.

Risk 01

Proprietary code walks out

Cursor sends file context to cloud LLMs for completions. Trade secrets, API keys, and algorithms flow to third parties with no record of what left, who sent it, or what policy, if any, ran.

Risk 02

No audit trail for AI-written code

When Cursor writes code that ships, auditors ask who approved it and on what basis. Without Raidu, there is no record of the prompt, the model, the policy version, or the human review.

Risk 03

Shadow adoption across teams

Developers install Cursor independently. Security has no view into which models are in use, which repos are exposed, or which policies, if any, apply. The first signal is often an incident.

Risk 04

Compliance blind spots

SOC 2, HIPAA, and the EU AI Act require evidence of AI system usage and controls. Cursor activity without governance produces none of it. Policies without proof do not survive an audit.

With Raidu

How Raidu governs Cursor.

Every Cursor prompt passes through the five-checkpoint firewall. The policy is shared, the record is tamper-evident, the runtime is the same one your other agents already use.

01

Code context redaction

Checkpoint 02 · Before LLM

Raidu scans every prompt Cursor sends outbound. Secrets, credentials, customer PII, and flagged business logic are replaced with deterministic tokens the model can still reason about. Raidu runs inside your own cloud account.

02

Model and repo policy

Checkpoint 03 · Before Tool

Allowlist and blocklist models per team, per repo, or per file pattern. Engineering can use Claude on the backend and GPT on the frontend; regulated repos can require a specific model or block AI entirely. Policy version is stamped on every call.

03

Response scanning

Checkpoint 05 · Agent Response

Completions are scanned for hallucinated packages, insecure code patterns, license risks, and data exfiltration attempts before the suggestion ever reaches the editor. Clean suggestions pass. Risky ones are flagged and logged.

04

Tamper-evident audit trail

Post-execution

Every interaction, the developer identity, the prompt, the redactions, the model, the policy version, the response, the decision, is written to write-once storage. Hash-chained. 10-year retention by default.

Integration

Zero IDE change. One base URL.

Cursor speaks the OpenAI API. Raidu speaks OpenAI back. Swap the base URL and every prompt from every developer is governed from that moment on.

Cursor · Settings · Models shell
# In Cursor: Settings → Models → Override OpenAI Base URL
OPENAI_BASE_URL=https://raidu.your-company.internal/openai
OPENAI_API_KEY=raidu_xxx   # scoped, rotatable, revocable

# Every request now carries:
#   x-raidu-policy:     cursor.eng.v4
#   x-raidu-record-id:  rec_01JBVX7P9A8Z8PTQJG4K9NDJ4W
#   x-raidu-decision:   allow | mask | deny
#   x-raidu-record-hash: sha256-...
Questions

What engineering leaders ask before they roll this out.

Does Raidu require a Cursor plugin? +
No. Raidu is a transparent proxy. Cursor is pointed at a Raidu base URL via its existing OpenAI-compatible model configuration. Developers see no difference in the IDE.
What is the latency overhead on completions? +
You choose how deep the checking goes for each use case. Tab completion and inline edits remain interactive. Long completions amortize any overhead across the stream.
Can I allowlist or block specific models inside Cursor? +
Yes. Raidu's policy engine routes per team, per repository, or per file pattern. You can require Claude for regulated repos, allow GPT for internal tooling, and block everything for anything matching a sensitive path.
How does Raidu handle Cursor's privacy mode? +
Privacy mode in Cursor stops Cursor from storing data. Raidu governs what leaves Cursor in the first place. They are complementary. Privacy mode plus Raidu gives you both no-storage and enforced masking on a tamper-evident record.
Does this integration cover Cursor's agent and composer features? +
Yes. Any outbound model call, completion, inline edit, chat, Composer agent loop, multi-file edit, passes through the same five-checkpoint runtime and lands in the same tamper-evident audit trail.
Can my auditor verify the audit trail independently? +
Records stay in your own cloud account. You give your auditor an export of the records with their hash chain, and any change to an entry breaks the chain. Your auditor does not need access to your environment.

Bring Cursor into a governed runtime.

Talk to us (30 minutes). We will configure Cursor against a sandbox tenant, fire a real prompt, and hand you the audit record at the end.