Compare AppSec platforms

The #1 Aikido alternative

Aikido bundles many open-source scanners into one developer-friendly platform. Corgea wins when teams need AI-native detection depth and remediation that goes beyond aggregated tooling.

+0K scans every month - Trusted by thousands of devs

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Feature comparison

How Corgea compares to Aikido

Aikido is strong on breadth and speed. The real decision is whether aggregated scanning is enough or whether your program needs deeper AI-native detection and remediation.

Capability Corgea Aikido
Static Code Analysis (SAST) Aikido's SAST is built on open-source rule engines, so it inherits their pattern-based strengths and limits.
Business Logic Flaw Detection -
Missing Auth Detection -
Reachability Analysis -
SAST AI Autofix
Multi-file Analysis Limited
Taint Analysis
Custom SAST Rules
SAST Issues Directly In IDE
Software Composition Analysis (SCA)
Reachability Analysis
AutoFix For SCA
License Compliance
SBOM Support
Malware Detection
Container Scanning
Container Vulnerability Scanning
AI Autofix Container Images
Malware Detection in Containers -
IaC Scanning
Infrastructure as Code Scanning
Cloud Posture Management
Code Quality
AI-Powered Code Quality Analysis
Secrets Detection
Secrets Detection
Pre-commit Secret Scanning

Benchmark

Corgea vs Aikido SAST benchmark

We scanned latiotech/insecure-kubernetes-deployments with both platforms and reviewed every finding against source. Out of 47 source-confirmed issues, Corgea found 42 and Aikido found 13.

SAST benchmark

Corgea found 42 of 47; Aikido found 13

Same deliberately vulnerable repository, same review process, 47 source-confirmed issues. Aikido was slightly cleaner per reported finding, but Corgea found far more of the vulnerabilities that needed remediation.

Winner by F1 and recall Corgea

3.23x Aikido's recall, 2.04x its F1, and 29 more confirmed vulnerabilities found.

47 source-confirmed issues
Confirmed findings
42 vs 13
False negatives
5 vs 34
F1 score
85.71% vs 41.94%
Recall Confirmed vulnerabilities caught
Corgea 89.36%
Aikido 27.66%
F1 score Balance of precision and recall
Corgea 85.71%
Aikido 41.94%
Precision Reported findings that were confirmed
Corgea 82.35%
Aikido 86.67%
Tool Findings reviewed TP FP FN Precision Recall F1
Corgea 51 42 9 5 82.35% 89.36% 85.71%
Aikido 15 13 2 34 86.67% 27.66% 41.94%

Scoring set: 47 source-confirmed issues reviewed on July 2, 2026. Precision = TP / (TP + FP), recall = TP / (TP + FN), F1 = harmonic mean of precision and recall.

Precision vs. recall

Aikido was slightly cleaner; Corgea was far more complete

Bubble position shows precision and recall. Bubble size shows confirmed true positives. The upper-right corner is the goal: high confidence and broad vulnerability discovery.

0% 0% 25% 25% 50% 50% 75% 75% 100% 100% Recall: confirmed vulnerabilities found Precision: reported findings confirmed Corgea Aikido
Corgea 82.35% precision 89.36% recall 42 true positives
Aikido 86.67% precision 27.66% recall 13 true positives
Bubble area: confirmed true positives. The shaded upper-right zone represents 75%+ precision and 75%+ recall. Takeaway: Aikido clustered high on precision but far left on recall; Corgea moved into the high-recall zone while staying above 80% precision.

Precision and recall use the same July 2, 2026 scoring set of 47 source-confirmed issues.

Coverage delta

A small precision edge did not make up for 34 misses

Aikido's output had fewer false positives, but its SAST scan left most confirmed issues behind. For remediation planning, missed vulnerabilities are the larger operational risk.

Corgea 42 found · 5 missed
42 5
Aikido 13 found · 34 missed
13 34
29 more true positives 29 fewer false negatives 3.2x recall

Examples Corgea found that were absent from the Aikido results:

  • Missing authorization on data-modifying FastAPI routes
  • SSRF in a URL fetch endpoint
  • Open redirect through an unvalidated next parameter
  • Lodash template code injection
  • Prototype pollution risk around JSON5 parsing
  • Hardcoded AWS credentials in Kubernetes deployment templates
  • Hardcoded API tokens in test code

Each stacked bar totals 47 source-confirmed issues. Found percentages: Corgea 89%, Aikido 28%.

Read the full benchmark

Results

Security that keeps up with code

Corgea surfaces high-impact issues and delivers consistently accurate fixes.

Detect and fix the undetected

Corgea detects business logic flaws that traditional scanners miss, including broken authentication, missing auth checks, and authorization gaps hidden in real application flows.

Pull request #2487 accounts_service.py
Corgea Agent bot commented on line 5


-5    account.status = "closed"
+5    if account.owner_id != request.user.id and not request.user.is_admin:
+6        raise PermissionError("Not allowed to close this account")
+7    account.status = "closed"
philipjfry author now

Corgea Agent bot now

2x more true positives
3x less false positives
+90% auto-fix accuracy

SCM Integrations

Integrates seamlessly with GitHub, GitLab, Azure DevOps, Bitbucket, and Harness.

IDE Integrations

Integrated with IDEs like Visual Studio Code, Cursor, Visual Studio 2022, and IntelliJ.

Agent Integrations

Integrates with your agents to autonomously secure at scale.

Prioritize what attackers can actually reach

From public routes like /login, Corgea traces real runtime paths to deep, exploitable risk.

It connects converging routes to the same weak point and maps impact to vulnerable code and vulnerable packages so teams fix the highest-risk issues first.

Developer Experience

Where agents and humans collaborate

Corgea reviews vulnerable code in pull requests, proposes safe fixes, and answers follow-up questions with implementation details.

Pull request #2487 accounts_service.py
Corgea Agent bot commented on line 5


-5    account.status = "closed"
+5    if account.owner_id != request.user.id and not request.user.is_admin:
+6        raise PermissionError("Not allowed to close this account")
+7    account.status = "closed"
philipjfry author now

Corgea Agent bot now

SCM Integrations

Integrates in minutes with GitHub, GitLab, Azure DevOps, Bitbucket, and Harness.

IDE Integrations

Integrated with IDEs like Visual Studio Code, Cursor, Visual Studio 2022, and IntelliJ.

Agent Integrations

Integrates with your agents to autonomously secure at scale.

Coverage

We have you covered

Corgea supports modern application stacks across backend, frontend, and package managers.

Testimonials

What analysts and customers are saying

Industry experts and customers share their experience with Corgea's approach to modern application security.

FAQ

Corgea vs Aikido: questions buyers ask

Direct answers for teams comparing AppSec platforms.

Is Corgea a good Aikido alternative?

Teams evaluating Aikido often choose Corgea when they need higher-signal static analysis, reachability-aware prioritization, and review-ready fixes in pull requests and IDEs. Compare capabilities at https://corgea.com/compare/aikido-alternative.

What is the main difference between Corgea and Aikido?

Aikido bundles many open-source scanners into one developer-friendly platform. Corgea wins when teams need AI-native detection depth and remediation that goes beyond aggregated tooling.

Can Corgea replace Aikido?

Many teams start by routing Aikido findings through Corgea for triage and remediation, then expand to Corgea's AI-native scanning where they want fewer false positives and automated fixes. Corgea integrates with existing scanners and SCM workflows so rollout can be gradual.

Does Corgea offer automated security fixes?

Yes. Corgea generates review-ready fixes with explanations tied to vulnerability metadata, designed for merge in pull requests and IDE workflows. Independent benchmarking has recognized Corgea for auto-fix accuracy in the SAST category.

How should I evaluate Corgea vs Aikido?

Review the side-by-side table at https://corgea.com/compare/aikido-alternative, read https://corgea.com/learn/best-sast-tools for category context, and start a free trial at https://www.corgea.app/registration/ on your own repositories.

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