Whitepaper · from Legit Security
How can security keep up with the pace of AI-generated code?
AI coding assistants are transforming how software is?built?-?accelerating?delivery but?also?introducing?new security risks?such as?insecure AI-generated code, data leakage, and ungoverned agent behavior.
- Format
- Whitepaper
- Published by
- Legit Security
- Category
- Cloud & Application Security
- Added
- 17 Jun 2026
About this whitepaper
AI coding assistants are transforming how software is?built?-?accelerating?delivery but?also?introducing?new security risks?such as?insecure AI-generated code, data leakage, and ungoverned agent behavior.
For the first time in application development, security must begin at code generation itself.?That’s?the vision behind?Legit?VibeGuard.
Read our blog to get details on this new solution that:
- Secures AI-generated code at creation?— moves AppSec from after-the-fact testing to proactive protection built directly into AI development workflows.
- Protects and?secures?AI coding agents?—?monitors and secures agents’?use of models, MCP tools,?and sensitive data.
- Gives AppSec teams complete visibility into AI use?— unifies insight and governance across every AI coding environment, prompt, model,?and MCP, with the ability to restrict, block, and apply security policies.?
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