Compare Github Copilot vs Amazon CodeWhisperer: AI Features, Security & Risk Report
AI Model Cards
What is covered:
Do they have AI?
Do they train on my data?
Risk of Prompt Injection
Adherence to OWASP Top 10
Adherence to NIST AI RMF
26 risk vectors and more...
PromptArmor is trusted across the Fortune 50 and AmLaw 50
How do you protect your data when using AI in Github Copilot and Amazon CodeWhisperer?
AI Feature breakdown for Github Copilot vs Amacon CodeWhisperer
Github Copilot's AI Feature Set
IDE Coding Assistant
Natural language chat interface to generate code, execute terminal commands, retrieve web results, and operate within one's IDE.
...
See more in full report.
Amazon CodeWhisperer's AI Feature Set
Customization and Internal Library Awareness
Developers can tailor recommendations to specific internal packages, classes, or methods, making suggestions more relevant to organizational standards and needs.
...
See more in full report.
Pricing
Here is the pricing model breakdown for Github Copilot and Amazon CodeWhisperer
Github Copilot's AI pricing model
Freemium
Offers free tiers.
Per License
Charges per user, org, or access point.
Consumption-Based
Pay per token, API call, inference, etc.
Outcome-Based
Pay only when certain results or performance goals are achieved
Amazon CodeWhisperer's AI pricing model
Freemium
Offers free tiers.
Per License
Charges per user, org, or access point.
Consumption-Based
Pay per token, API call, inference, etc.
Outcome-Based
Pay only when certain results or performance goals are achieved
13%
of enterprises have suffered an AI-related security breach in the last year. These include AI-generated phishing and malicious prompt injection.
$4.4M
average cost per incident - with indirect prompt injection and data leakage via LLMs now among the top attack vectors across industries.
Assessing and Monitoring AI Risk becomes crucial
threats are real, fast-evolving, and uniquely difficult to detect. Staying proactive ensures you catch vulnerabilities before they become costly breaches both fiscally and reputationally.
Quick Facts for Reference
Here are some facts about Github Copilot and Amazon CodeWhisperer
#1
GitHub Copilot is the world’s most widely adopted AI developer tool, used by millions of developers and tens of thousands of businesses.
#2
AI is integrated throughout the platform, aiming for full SDLC support: code suggestions, automated documentation, and natural-language code editing.
#3
Evolving quickly to support “AI-native” development, with a vision of democratizing software creation and empowering a broader spectrum of users.
#1
CodeWhisperer is Amazon’s flagship AI-powered tool for developers, closely tied to the Amazon Web Services ecosystem and widely adopted across industries for its integration and support.
#2
Frequently highlighted in industry events (like AWS re:Invent, AI Con USA) as part of Amazon’s next-generation AI portfolio.
#3
As an initiative within AWS, CodeWhisperer benefits from Amazon’s global cloud infrastructure.
Impact
Unlock the Full AI Risk Report
For comprehensive overview of the AI risk of a vendor, covering 26 different risk vectors mapped to the leading frameworks like OWASP LLM Top 10, NIST RMF. MITRE ATLAS and more.
Adherence to OWASP Top 10
Do they train on my data?
Risk of Prompt Injection
Adherence to NIST
Do they have Web Search?
And more...
FAQ
Answers to your most common questions
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