AI Discovery in Development
Bridge the gap between security and dev by uncovering where and when AI code is used and take action to ensure proper security controls are in place - without slowing software delivery.
Close the AI Visibility Gap
As developers harness the power of AI and large language models (LLMs) to develop and deploy capabilities more quickly, new risks arise, including vulnerabilities, copyright restrictions and data exposure. Understanding when and where AI is used in development will help close a critical visibility gap for your organization’s security and development teams.
Benefits of AI Discovery
Find AI-generated code
Legit provides a full view of the development environment, including code derived from AI-generated coding tools (e.g., GitHub Copilot).
Gain Full Visibility
By gaining a full view of the application environment, including repositories using LLM, MLOps services, and code generation tools, Legit’s platform offers the context necessary to understand and manage an application’s security posture.
Legit Security detects LLM and GenAI development and enforces organizational security policies, such as ensuring all AI-generated code gets reviewed by a human.
Legit can immediately notify security teams when users install AI code-generation tools, providing greater transparency and accountability.
Legit’s platform provides guardrails to prevent the deployment of vulnerable code to production, including that delivered via AI tools.
Stop Unknown Vulnerabilities
AI-generated code may contain unknown vulnerabilities or flaws that put the entire application at risk.
Avoid Legal Risk
AI-generated code can introduce legal issues if copyright restrictions are in place.
Prevent Data Exposure
Legit helps prevent improper implementation of AI features, which can lead to data exposure.