// Developer Guard

Protect code and secrets across every AI coding tool your developers use

Secure GitHub Copilot without slowing development. Catch secrets before they leak, protect proprietary code, maintain velocity.

Request Demo
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// FEATURES

Everything you need to secure AI-assisted development

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// 01

AI coding assistant coverage

Our platform automatically detects and protects AI tools developers use for code generation.

// 02

95+ secret detectors built-in

Catch API keys, tokens, and credentials before they reach AI models

Cloud credentials: AWS, Azure, GCP keys and tokens

API secrets: Stripe, Twilio, SendGrid, Slack tokens

Database credentials: Connection strings, passwords, certificates

Authentication tokens: JWT, OAuth, personal access tokens

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Create custom patterns for your internal secrets and proprietary patterns

Code-aware protection modes

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Redact

Replace secrets with placeholders while preserving code structure

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Warn

Alert developers in real-time about exposed secrets

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Log

Track AI usage patterns for security review

Language and framework support

20+ programming languages supported

VS Code & JetBrains native integration (more coming soon)

Git pre-commit hooks

CI/CD pipeline integration ready

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What makes Developer Guard different

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Development velocity preserved

Keep your development flow uninterrupted. AI tool preferences stay the same, while detection and protection happen in milliseconds.

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Context-aware secret detection

Understands the difference between example code and production secrets. Reduces false positives while catching obfuscated or encoded credentials.

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Privacy-First Architecture

Code analysis respects your data boundaries. Processing happens within your chosen environment, cloud or on-premises—with no third-party AI service dependencies. Your code never leaves your control.

How Developer Guard Works

1

Install our agents

Install and activate our AI agents on user devices.

2

Automatic AI detection

Agents identify when developers interact with Github Copilot.

3

Real-time scanning

Agents analyze code snippets before they're sent to AI. Catches secrets, credentials, and proprietary patterns.

4

Instant protection

Agents redacts sensitive code while maintaining functionality. Developers see clear feedback.

Real World Use cases

Backend developers

Prevent database credentials and API keys from leaking

Catch various tokens, Secrets & API Keys in infrastructure code

Redact database connection strings

Protect internal service endpoints

Block private key exposure

Redact OAuth client secrets

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Frontend developers

Keep client secrets and configurations secure

Prevent leakage of API keys in JavaScript or .env files

Redact secrets hard‑coded into frontend configs (e.g., Firebase, Stripe, Google Maps keys)

Block exposure of internal API endpoints in client code

Detect and redact sensitive environment variables from build artifacts

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DevOps engineers

Secure infrastructure-as-code and configurations

Protect Terraform variables and secrets

Redact Kubernetes secrets and configs

Prevent Docker registry credentials leaks

Secure CI/CD pipeline tokens

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Mobile developers

Protect app secrets and signing keys

Prevent keystore password exposure

Redact push notification tokens

Protect in-app purchase keys

Secure backend API endpoints

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Compliance & Audit

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Every AI code interaction tracked

Developer identity and timestamp

AI tool accessed and code context

Secrets detected and action taken

Risk score and classification

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Security outcomes

Prevent secret sprawl to AI training data

Maintain code confidentiality

Meet security audit requirements

Reduce credential rotation incidents

See Nyuway in Action

Your specific AI tools and workflows

Real detection on your type of data

ROI calculation for your organization

Deployment plan for your environment

Schedule Demo
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// FAQ’s

Frequently Asked Questions

// 01

Does this work with air-gapped environments?

Yes. Self-hosted deployment options available for environments without internet access. All detection happens locally.
// 01

How do you handle false positives?

Smart detection understands context—example code vs. production secrets. Teams can whitelist patterns, adjust sensitivity, and create exceptions for specific projects.
// 01

What programming languages are supported?

We support 20+ languages including Python, JavaScript, Java, Go, C#, Ruby, Rust, TypeScript, and more. Full list available in documentation.
// 01

Can developers disable the protection?

When deployed via enterprise policies, developers cannot disable protection. Security teams maintain full control while developers maintain productivity.
// 01

Will this slow down code completion?

No. Detection happens in <300ms. Github Copilot suggestions and ChatGPT responses remain instant. Developers won't notice any latency.