AI Coding Tool

AI Coding Tool Integration

AI Governance for Cursor

Q: "How does Raidu integrate with Cursor?"

"Raidu operates as a transparent proxy between Cursor and the LLM providers such as OpenAI, Anthropic, and Google. Configuration requires pointing the API endpoint to your Raidu instance. No changes to Cursor's IDE features are needed."

Q: "Does Raidu slow down Cursor's AI features?"

"Raidu typically adds under 10ms of latency to AI requests. Developers experience no noticeable difference in Cursor's responsiveness for tab completions, inline edits, or chat interactions."

Q: "Can I control which models Cursor uses through Raidu?"

"Yes. Raidu's policy engine lets you allowlist or blocklist specific models, enforce model routing rules, and require specific models for different code repositories or teams."

Q: "Does Raidu work with Cursor's privacy mode?"

"Yes. Raidu complements Cursor's built-in privacy features by adding enterprise grade governance, audit logging, and cryptographic proof on top of whatever privacy settings you configure."

Your developers use Cursor to write code faster. Raidu ensures every AI interaction follows your security policies, protects sensitive code, and creates a complete audit trail.

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Cursor

AI-first code editor built on VS Code

Cursor is an AI-powered code editor that integrates LLMs directly into the coding workflow, enabling tab completion, inline editing, and multi-file code generation.

The Governance Risks of Unmanaged Cursor Usage

When developers use Cursor without governance, your organization faces real, measurable risks.

Proprietary Code Leakage

Cursor sends code context to cloud LLMs for completions and edits. Without governance, trade secrets, API keys, and proprietary algorithms flow to third-party model providers with no record of what was shared.

No Audit Trail for AI Generated Code

When AI writes production code, regulators and auditors ask who approved it. Without Raidu, there is no record of what was generated, what policies were applied, or whether the output was reviewed.

Shadow AI Adoption

Developers install Cursor independently across teams. Security and IT have no visibility into which models are being used, what data is being shared, or how AI generated code enters your codebase.

Compliance Blind Spots

SOC 2, HIPAA, and the EU AI Act all require documentation of AI system usage. Cursor activity without governance creates gaps that auditors will flag and regulators will penalize.

How Raidu Governs Cursor

Raidu sits between Cursor and the LLM providers, giving you complete control and visibility over every AI coding interaction.

Code Context Protection

Raidu scans every prompt Cursor sends to LLMs, detecting and masking API keys, credentials, proprietary algorithms, and sensitive business logic before they leave your network.

Complete AI Audit Trail

Every Cursor interaction is logged with developer identity, timestamp, prompt content, model response, and policy decisions applied. All records are exportable for SOC 2 and compliance audits.

Policy Based Access Control

Define which teams can use which models, what code repositories are off limits for AI assistance, and which operations require approval workflows before execution.

Cryptographic Compliance Proof

Raidu signs every governance decision with RSA-4096 and chains them with SHA-256 hashes, creating tamper-proof evidence that your AI coding workflows comply with your policies.

SOC 2 Type II (pursuing)

Typically <50ms Added Latency

On-Premise Available

Input + Output Protection

Frequently Asked Questions

How does Raidu integrate with Cursor?

Raidu operates as a transparent proxy between Cursor and the LLM providers such as OpenAI, Anthropic, and Google. Configuration requires pointing the API endpoint to your Raidu instance. No changes to Cursor's IDE features are needed.

Does Raidu slow down Cursor's AI features?

Raidu typically adds under 10ms of latency to AI requests. Developers experience no noticeable difference in Cursor's responsiveness for tab completions, inline edits, or chat interactions.

Can I control which models Cursor uses through Raidu?

Yes. Raidu's policy engine lets you allowlist or blocklist specific models, enforce model routing rules, and require specific models for different code repositories or teams.

Does Raidu work with Cursor's privacy mode?

Yes. Raidu complements Cursor's built-in privacy features by adding enterprise grade governance, audit logging, and cryptographic proof on top of whatever privacy settings you configure.

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