AI model risk analysis
Learn how to stay two steps ahead of security risks and vulnerabilities in AI-generated code.
Challenges
Is AI for application development too risky?
While AI models can save developers precious time and significantly accelerate the release of products, they also come with heavy new security considerations.
Increased vulnerability risk
AI models often depend on open source code libraries and packages to create their output, which may potentially introduce more vulnerabilities–especially if the dependencies are not always up to date.
Decreased visibility
Security teams can’t tell what AI models were used for application development, leaving them blind to potential security threats tied to these models.
Licensing headaches
AI models come with their own set of licensing concerns that security teams are unable to manage due to blind spots when using AI.
Opportunities
Gain visibility and control
Support security teams as they find AI-related security risks, licensing concerns, and versioning challenges.
Identify AI tools
Discover which generative AI coding tools are being used in your devs’ workflows to detect AI code snippets within your code base.
Hugging Face coverage
If you want to see what AI models are being used in your applications, you need to be able to track the 350k-plus AI models indexed in Hugging Face.
Stay up to date
Maintaining control over AI model dependencies requires knowledge of each AI model’s current version and update information.
The solution
Mend AI
Mend AI identifies AI models used in your code base, helping security professionals stay ahead of outdated dependencies and licensing issues.
Discover Mend AI
Stop playing defense against alerts.
Start building a proactive AppSec program.