Aikido Infrastructure as Code (IaC) vs Corgea AI-Native SAST: Side-by-Side Comparison (2026)

Aikido Infrastructure as Code (IaC)

Teams deploying Terraform, CloudFormation, or Helm at scale will find real value in Aikido Infrastructure as Code's AI-powered autofix that actually closes misconfigurations before they hit production, not just flags them. The platform catches IMDSv1 SSRF vulnerabilities and pre-deployment configuration drift across CI/CD pipelines, directly strengthening PR.PS and PR.IR controls where most organizations leak risk. Skip this if you need post-deployment runtime detection or multi-cloud CSPM breadth; Aikido is deliberately shift-left focused, which makes it sharp for preventing infrastructure mistakes but shallow for runtime anomalies.

Corgea AI-Native SAST

Development teams shipping code faster than your security process can handle will see immediate ROI from Corgea AI-Native SAST, since its LLM-driven fix suggestions cut remediation time by eliminating the back-and-forth between developers and security. The tool covers 11 languages natively and cuts false positives through AI triage rather than manual rule tuning, which matters when your team is small and can't afford a dedicated AppSec person. This is not the tool for organizations that need deep integration with legacy CI/CD pipelines or require on-premises deployment; Corgea's cloud-only model and startup-scale vendor mean you're betting on a young company's roadmap.