AI Code Governance

Select safe AI models and open source packages

Evaluate open source packages and AI Models for security, popularity, quality and activity.

‍

Welcome to the resistance

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How it works

1

Ask DroidGPT

User natural language to find safe OSS packages and models

‍

2

Use Endor Scores

‍Evaluate findings based on popularity, activity, security, and quality

Create Guardrails ‍

Turn your preferred risk profile into an automated policy

Loved by security teams, painless for developers at:

AI Code Governance

Select safe AI models and open source packages

Evaluate open source packages and AI Models for security, popularity, quality and activity.

‍

Loved by security teams, painless for developers at:

How it works

1

Ask DroidGPT

User natural language to find safe OSS packages and models

‍

2

Use Endor Scores

‍Evaluate findings based on popularity, activity, security, and quality

Create Guardrails ‍

Turn your preferred risk profile into an automated policy

No items found.

Research open source software using natural language

Find the packages that fit your need and risk profile by searching for:

Alternatives to existing packages that might not fit your risk profile.
Packages that match your licensing and compliance needs.
Packages with security, popularity, and quality scores that meet your requirements.

‍

Find the safest LLM for the job

Evaluate Open Source LLMs on HuggingFace based on 50 out-of-the-box checks. Start clean by avoiding common LLM risks:

‍

Vulnerabilities in weight encoding
Vulnerabilities or malicious code in files shipped with Model
Legal and licensing risks
Links to risky repositories

‍

Help developers make safer choices

Create policies that prevent OSS packages that don’t fit your risk profile from being used - coming soon for AI models!

Set policy guardrails for OSS selection
Monitor OSS usage and security posture
Take disruptive action only if the risk warrants it

‍

Book a Demo

Book a Demo

Welcome to the resistance

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Select safe AI models and open source packages

Evaluate open source packages and AI Models for security, popularity, quality and activity.

‍

Ask DroidGPT

User natural language to find safe OSS packages and models

‍

Use Endor Scores

‍Evaluate findings based on popularity, activity, security, and quality

Create Guardrails ‍

Turn your preferred risk profile into an automated policy

No items found.

Research open source software using natural language

Find the packages that fit your need and risk profile by searching for:

Alternatives to existing packages that might not fit your risk profile.
Packages that match your licensing and compliance needs.
Packages with security, popularity, and quality scores that meet your requirements.

‍

Find the safest LLM for the job

Evaluate Open Source LLMs on HuggingFace based on 50 out-of-the-box checks. Start clean by avoiding common LLM risks:

‍

Vulnerabilities in weight encoding
Vulnerabilities or malicious code in files shipped with Model
Legal and licensing risks
Links to risky repositories

‍

Help developers make safer choices

Create policies that prevent OSS packages that don’t fit your risk profile from being used - coming soon for AI models!

Set policy guardrails for OSS selection
Monitor OSS usage and security posture
Take disruptive action only if the risk warrants it

‍

Get a Free Trial

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