Key Features of Legit’s AI Security Command Center
Legit’s AI Security Command Center provides the most comprehensive view of when, where, and how engineering leverages AI in software development, along with the associated risks.
Legit AI Security Command Center
Complete Visibility of AI Usage & Risk
Developers are adopting AI models, code assistants, and MCP servers at a record pace – often out of the view of security. In addition, security leaders lack key metrics to understand the state of AI security within development. Legit’s AI Security Command Center shines a spotlight on AI, uncovering usage, risk, and metrics that matter to the business.
Unapproved and low-reputation models are often trained on insecure code bases and lack security guardrails.
Engineering’s use of AI tools may inadvertently expose secrets and other sensitive data.
Unauthorized MCP servers risk exposing sensitive data, enabling unauthorized AI agent actions.
Complex and varied AI risks – from policy violations to posture changes over time – are often overlooked.
Complete visibility into AI usage
Users instantly see the AI models and MCP servers in their engineering environments, along with areas of risk that must be remediated. The platform also highlights newly introduced components, tracks the most frequently used models, and enriches this view with the context of each AI model’s reputation.
Detection of risky and unauthorized AI model usage
Low-reputation AI models or those unapproved by corporate policy create a significant opportunity to introduce risk, especially if they were trained on insecure codebases or lack security guardrails. Legit’s AI Security Command Center delivers an immediate view of models in use, even when an engineer attempts to bypass security processes and policies.
Real-time visibility into AI-related risks
Beyond use of AI, Legit monitors AI-related risks in real-time, including riskiest AI secrets, top AI risk by policy, and the change in AI risk over time. For security teams, this provides a clear mechanism to understand and communicate the impact of AI on the organization’s security posture.
Team- and application-level risk metrics
While AI usage is accelerating, developers’ expertise in these tools may be limited. Legit’s new AI heat map makes it easy to pinpoint teams that introduce the most AI security issues, and to compare AI security across application teams, to quickly identify where training or other support is needed most.
Related Resources
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