USE CASE

Secure Architecture for AI-Generated Code

Prime provides contextualized Security Architecture recommendations for every development task built with AI Code-Generation tools

83%

of organizations are using AI-generated code in their applications

0%

of AI-generated code accounts for company security guidelines
According to Prime Security and Industry Research
The challenge

AI tools like Copilot and Cursor accelerate development forcing security teams to re-think their approach to Product Security. Without understanding your security requirements, these tools can introduce design and architecture flaws that bypass early-stage security controls

The Prime Solution

Prime AI Agents close the gap between AI-driven development and contextual security, seamlessly delivering security guardrails and guidelines directly into AI Code Generation tools
Contextual Secure Architecture Guardrails

Prime ties every pull request back to its originating Jira ticket and provides relevant, environment-specific, security guidance based on business logic and internal policies, so the AI knows what “secure” means in your context

Bring Secure-by-Design into your Development Pipeline

Security guidance is delivered as an invisible context to AI Code Generation tools like Cursor, allowing developers to move fast without interruptions, prompts, or switching tools, security just works in the background

Eliminate Entire Classes of Vulnerabilities

Moves beyond chasing individual bugs by reinforcing secure architecture patterns at the point of code generation, preventing entire classes of vulnerabilities from ever being introduced

Impact

Ensure AI-generated code aligns with security requirements from the start, reducing risk without disrupting developer workflows

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