Corgea Review (2026)

Corgea Overview

Corgea is a Y Combinator-backed (S23 batch) AI-native application security platform that automatically finds, triages, and fixes insecure code. Founded to address the critical bottleneck in application security programs, Corgea recognizes that the problem facing most engineering organizations is not vulnerability detection but remediation. Security teams can identify thousands of vulnerabilities using existing SAST, DAST, and SCA tools, but the engineering effort required to fix them creates backlogs that grow faster than teams can address. Corgea attacks this problem directly by using AI to generate verified code fixes that developers can review and merge, saving an estimated 80% of the engineering effort typically spent on manual remediation.

What distinguishes Corgea from traditional SAST tools is its AI-native approach to vulnerability detection. While tools like SonarQube and Checkmarx rely primarily on pattern-matching rules and dataflow analysis, Corgea’s proprietary BLAST (Business Logic Application Security Testing) scanner uses large language models to understand code semantics. This enables it to find business logic vulnerabilities such as broken access control, authentication flaws, and authorization bypass issues that pattern-based scanners consistently miss. Production customers like Zapier and Yageo report approximately 20% more true positives and 90% fewer false positives compared to their prior SAST tooling.

Corgea occupies a unique position in the security tooling landscape by offering both detection and remediation in a single platform. While most security tools stop at identifying vulnerabilities, Corgea goes further by generating context-aware code fixes, validating them through automated testing, and delivering them as pull requests. This end-to-end approach eliminates the handoff gap between security teams that find vulnerabilities and development teams that must fix them. Combined with support for 25+ programming languages, ingestion from external scanners, and competitive pricing with a generous free tier, Corgea has emerged as one of the most compelling AI-powered security platforms for modern development organizations.

Feature Deep Dive

BLAST AI-Native SAST Scanner. Corgea’s proprietary BLAST scanner goes beyond traditional pattern matching by using large language models to understand code semantics and business logic. It detects standard vulnerability categories like SQL injection, XSS, command injection, and path traversal, but its real differentiator is finding business logic flaws such as broken access control, authentication bypass, insecure direct object references, and authorization issues. These are the vulnerability classes that traditional SAST tools routinely miss because they require understanding the intended behavior of the application, not just matching patterns in the code. BLAST covers 100+ vulnerability types across 25+ programming languages.

PolicyIQ Custom Security Policies. PolicyIQ allows security teams to define custom security policies in natural language instead of writing formal rule code. For example, a policy like “all payment processing endpoints must validate that the requesting user has billing permissions” is interpreted by the AI engine and applied during scanning. PolicyIQ is particularly valuable when business logic is not obvious from the code alone or when organization-specific security controls need to be enforced. This feature bridges the gap between security requirements that live in compliance documents and the code that must implement them.

Automated Fix Generation with Confidence Scoring. When Corgea identifies a vulnerability, its AI engine analyzes the affected code, understands the vulnerability context, and generates a targeted fix. Each fix comes with a confidence score indicating how certain the system is about the correctness of the change. High-confidence fixes can be automatically delivered as pull requests, while lower-confidence fixes are flagged for manual review. The fixes consider surrounding code patterns, framework conventions, and existing security controls to produce changes that integrate naturally into the codebase.

Fix Verification Through Automated Testing. Generated fixes are not blindly applied. Corgea validates each fix through automated testing to verify that it addresses the vulnerability without introducing regressions. This verification step is critical for maintaining developer trust. If a fix fails verification, it is flagged for manual review rather than being submitted as a PR. This safety net reduces the risk that automated remediation introduces new problems.

Dependency Scanning Across 25+ Languages. Corgea automatically identifies known security vulnerabilities in third-party dependencies across 25+ programming languages and package ecosystems. The scanner provides detailed CVE information and CVSS scores for each vulnerability, helping teams prioritize which dependency updates to address first. This capability operates alongside the SAST scanner, providing a comprehensive view of both first-party code vulnerabilities and third-party dependency risks.

Secrets and Credential Detection. Corgea scans for exposed secrets, API keys, credentials, and other sensitive data in both source code and configuration files. The scanner identifies patterns associated with cloud provider credentials, database connection strings, API tokens, and other secret types. Detected secrets are flagged with severity levels and remediation guidance.

Container and IaC Scanning. Beyond source code, Corgea scans container images for known vulnerabilities and infrastructure-as-code templates (Terraform, CloudFormation, Kubernetes manifests) for security misconfigurations. This extends the security analysis beyond application code to the infrastructure that runs it, providing teams with a more complete security picture.

Bulk Remediation Workflows. For organizations with large vulnerability backlogs, Corgea supports bulk remediation workflows that address multiple instances of similar vulnerabilities simultaneously. Instead of fixing SQL injection one occurrence at a time, the AI engine can generate fixes for all instances across the codebase, dramatically accelerating the remediation timeline.

Pricing and Plans

Corgea uses a per-developer pricing model with a genuinely generous free tier and three paid plans.

Free Plan. The free tier includes AI SAST scanning via BLAST, logic and authentication scanning, dependency scanning across 25+ languages, secrets detection, container scanning, and IaC scanning for up to 10 repositories. This is one of the most comprehensive free security scanning offerings available, comparable to or exceeding what many competitors charge for entry-level paid plans. The free tier is designed for small teams and startups that want enterprise-grade security scanning without upfront cost.

Growth Plan ($39/dev/month). The Growth plan adds PR scanning with inline comments, code quality checks, the Corgea Agent for automated remediation, JIRA integration for ticket creation, and license enforcement for dependency compliance. This tier is designed for development teams that want security findings integrated directly into their pull request workflow with automated fix generation.

Scale Plan ($49/dev/month, most popular). The Scale plan includes everything in Growth plus PolicyIQ for custom security policies, blocking rules that can prevent vulnerable code from being merged, reporting and analytics dashboards, team management capabilities, and API/webhook support for integration with existing toolchains. This tier is targeted at security-focused organizations that need custom policies and enforcement capabilities.

Enterprise Plan (custom pricing). The Enterprise plan adds SSO and SCIM for identity management, single-tenant deployment for data isolation, SLA management, audit logs for compliance, and premium support. Enterprise pricing is negotiated based on organization size and deployment requirements.

Compared to traditional SAST tools, Corgea’s pricing is competitive. Checkmarx and Veracode typically charge significantly more for enterprise SAST licenses, and neither includes AI-powered auto-remediation. Compared to AI code review tools, Corgea is more expensive than CodeRabbit at $24/user/month, but Corgea provides deeper security scanning capabilities that code review tools do not match. The most direct comparison is with Snyk Code, which offers AI-powered SAST at similar enterprise price points but without Corgea’s auto-remediation capabilities.

How Corgea Works

Initial Setup. Getting started with Corgea involves connecting your GitHub, GitLab, or Bitbucket account and selecting the repositories to scan. The initial full-repository scan runs automatically and identifies existing vulnerabilities across the codebase. Results are organized by severity, vulnerability type, and affected file, with each finding including a description, impact assessment, and remediation guidance. The initial scan typically completes within minutes for small to medium repositories.

Continuous PR Scanning. Once connected, Corgea scans every new pull request for security vulnerabilities, posting findings as inline comments on the PR. This ensures that new vulnerabilities are caught before they reach the main branch. PR scanning runs alongside existing CI/CD pipelines without requiring pipeline configuration changes. Findings include severity levels, detailed descriptions, and when applicable, auto-generated fix suggestions.

Automated Remediation Workflow. When Corgea identifies a vulnerability with a high-confidence fix available, it generates a pull request containing the fix. The fix PR includes a description of the vulnerability, an explanation of how the fix addresses it, the confidence score, and test results from fix verification. Developers review the fix PR using their normal merge process, maintaining full control over what enters the codebase. For lower-confidence fixes, Corgea provides the suggested fix as a code snippet in the vulnerability dashboard for manual evaluation.

External Scanner Ingestion. Corgea can ingest findings from external security scanners through standard formats like SARIF and through direct integrations with tools including Snyk, Semgrep, SonarQube, Checkmarx, and Veracode. This allows organizations to continue using their existing detection tools while leveraging Corgea’s AI engine for automated remediation. The ingestion workflow maps external findings to the relevant code locations and generates fixes using the same AI engine used for BLAST-detected vulnerabilities.

PolicyIQ Configuration. Security teams configure PolicyIQ by writing natural language policies that describe security requirements specific to their application. Policies can target specific file types, directories, or code patterns. Once activated, PolicyIQ policies are evaluated during both full repository scans and PR scans. Violations are reported with the policy name, a description of the violation, and when possible, an automated fix suggestion.

Who Should Use Corgea

Security teams with growing vulnerability backlogs are Corgea’s primary target audience. If your organization identifies more vulnerabilities than it can fix in a timely manner, Corgea’s automated remediation can dramatically accelerate the fix rate. The estimated 80% reduction in engineering effort for remediation means a security team that currently fixes 10 vulnerabilities per sprint could potentially address 50 with the same resources.

Startups and small teams should take advantage of the free tier, which provides AI SAST, dependency scanning, secrets detection, container scanning, and IaC scanning for up to 10 repositories. This level of security scanning would cost thousands of dollars per year from traditional SAST vendors. For early-stage companies that cannot afford dedicated security tools, Corgea’s free tier provides enterprise-grade coverage.

Organizations in regulated industries that need to demonstrate compliance with security standards (SOC 2, PCI DSS, HIPAA, ISO 27001) will benefit from Corgea’s compliance tracking features. The platform documents remediation progress, policy enforcement, and scanning coverage, providing evidence for audits and regulatory reviews.

Development teams writing AI-generated code face increased security risk because LLM code generators frequently produce code with known vulnerability patterns. Corgea’s AI-native scanner is specifically designed to catch these patterns, making it a valuable safety net for teams that use AI coding assistants like GitHub Copilot or Cursor extensively.

Teams NOT well served by Corgea include those looking for general-purpose AI code review (consider CodeRabbit or DeepSource instead), organizations that need on-premise deployment without Enterprise pricing, and teams with codebases primarily in niche languages not covered by the 25+ supported languages. Teams that only need dependency scanning without SAST can use Snyk’s free tier as a lighter alternative.

Corgea vs Alternatives

Corgea vs SonarQube. SonarQube is the most established code quality and security analysis platform, with thousands of deterministic rules across dozens of languages. SonarQube excels at consistent, reproducible static analysis with zero false positives for rule-based checks. However, SonarQube cannot detect business logic vulnerabilities, does not provide automated fix generation, and its AI capabilities are limited compared to Corgea’s LLM-powered analysis. Corgea finds vulnerability classes that SonarQube misses entirely, particularly in authentication, authorization, and access control logic. Many organizations run both: SonarQube for deterministic quality gates and Corgea for AI-powered security analysis and auto-remediation.

Corgea vs Snyk Code. Snyk Code is an AI-powered SAST tool from the established Snyk platform. Both tools use AI for vulnerability detection, but Corgea differentiates through its BLAST scanner’s business logic detection and its automated fix generation with verification. Snyk offers a broader ecosystem including Snyk Open Source, Snyk Container, and Snyk IaC as separate products, while Corgea bundles all of these capabilities into its platform. Snyk’s larger enterprise customer base and extensive integration ecosystem give it an advantage in mature enterprise environments, while Corgea’s auto-remediation and more generous free tier make it compelling for teams prioritizing remediation speed.

Corgea vs Semgrep. Semgrep is a lightweight, open-source static analysis tool with a focus on custom rule writing for security teams. Semgrep rules are written in a pattern-matching syntax that security engineers must learn, while Corgea’s PolicyIQ allows natural language policy definitions. Semgrep excels at deterministic pattern matching and has a large open-source rule library, but it cannot understand business logic or generate automated fixes. Teams that want maximum control over rule definitions and do not need auto-remediation should consider Semgrep, while teams that prioritize finding business logic flaws and automating fixes should choose Corgea.

Corgea vs Checkmarx. Checkmarx is an enterprise SAST platform with deep language support and extensive compliance certifications. It is the incumbent choice for large enterprises with established application security programs. Checkmarx is significantly more expensive than Corgea and does not include AI-powered auto-remediation. Corgea’s AI-native approach detects vulnerability types that Checkmarx’s pattern-based analysis misses, particularly in business logic. However, Checkmarx has decades of enterprise deployment experience, broader compliance certifications, and more mature governance features. Organizations with strict enterprise procurement requirements may prefer Checkmarx, while teams wanting modern AI-powered security with auto-remediation should evaluate Corgea.

Pros and Cons Deep Dive

Strengths:

Corgea’s BLAST scanner represents a genuine technical advancement in SAST. By using LLMs to understand code semantics rather than matching patterns, it detects business logic vulnerabilities that the entire previous generation of SAST tools fundamentally cannot find. Production validation from customers like Zapier confirming 20% more true positives and 90% fewer false positives provides concrete evidence that the approach works in real-world environments, not just benchmarks.

The automated remediation workflow addresses the actual bottleneck in application security. Most organizations have more detection capability than they can act on. By generating verified fixes and delivering them as pull requests, Corgea converts vulnerability findings into actionable changes that developers can merge rather than tickets that accumulate in backlogs. The estimated 80% reduction in remediation engineering effort is transformative for security teams that have been struggling to keep up.

The free tier is exceptionally generous for a security platform. Including AI SAST, dependency scanning, secrets detection, container scanning, and IaC scanning for 10 repositories at no cost gives small teams and startups access to capabilities that would cost tens of thousands annually from enterprise SAST vendors. This positions Corgea as the most accessible AI-powered security scanning platform for resource-constrained teams.

PolicyIQ is a thoughtful feature that addresses a real gap in security tooling. Security requirements often exist in compliance documents, threat models, and team knowledge that cannot be directly translated into traditional rule definitions. Allowing security teams to express these requirements in natural language and have them enforced during scanning bridges the gap between security policy and code enforcement.

Weaknesses:

Pricing on paid tiers is steep compared to code review tools. At $39/dev/month for Growth and $49/dev/month for Scale, Corgea costs significantly more than AI code review tools like CodeRabbit ($24/user/month) or pure code quality platforms. This pricing positions Corgea more in the enterprise security tool category, which may be difficult for smaller teams to justify despite the value proposition.

As a newer platform (founded in 2023), Corgea has a smaller enterprise track record than established SAST vendors like Checkmarx, Veracode, or Fortify. Organizations with strict vendor qualification requirements may need additional assurance before adopting Corgea for production security scanning. The Y Combinator backing and named production customers provide some credibility, but the platform has less battle-testing than tools that have been in market for over a decade.

Fix quality for complex vulnerabilities can be inconsistent. While Corgea’s auto-remediation works well for straightforward vulnerability patterns like SQL injection or XSS, complex multi-file vulnerabilities involving business logic, authentication flows, or distributed system interactions may produce fixes that require significant manual adjustment. The confidence scoring system helps flag uncertain fixes, but teams should plan for manual review of complex remediation.

PolicyIQ is only available on the Scale plan at $49/dev/month, which locks one of Corgea’s most innovative features behind the premium tier. Teams that specifically need custom security policies will need to commit to the higher pricing tier, which may be prohibitive for smaller organizations.