







AI Accelerates Code. Who Secures It?
Tools like Cursor are changing the way developers work—faster output, fewer roadblocks, and AI-powered momentum.
But AI doesn’t come with built-in guardrails. In cloud-native environments, risks range from CVEs to misconfigured roles, open ports, and over-permissive identities or dangerous defaults.
When those issues slip into AI-suggested code, security reviews happen too late: either after deployment, or after compromise.
RAD brings real-time security context to where developers already work, so you can ship fast without shipping risk.
AI That Checks AI
RAD integrates directly with Cursor using the Model Context Protocol (MCP). As developers code, RAD continuously analyzes changes for:
- Cloud misconfigurations
- Over-permissive IAM policies
- Runtime-impacting logic flaws
- Risky infrastructure defaults
When it finds something? RAD explains why, and suggests a fix—right inside the IDE.
No switching tabs. No dashboard deep dives. Just fast, confident security feedback delivered by an AI that understands your runtime and your repo.
"We love coding in Cursor—but now we’re not just moving fast. We’re building with guardrails. RAD flags the exact misconfigs and logic flaws we used to miss."
Staff Engineer
Cloud Platform Team








Key Capabilities
Security Review for AI-Suggested Code
Instantly catch flaws in Cursor-generated code.
Live Fix Suggestions
AI-powered remediations, delivered as you code.
Cloud Misconfiguration Detection
Spot risky IAM roles, misconfigs, and access paths—on the fly.
Context-Rich Remediation
Combines runtime, config, and dev context for accurate suggestions.