Directory CybersecurityApplication SecurityAikido Security

Aikido Security

About Aikido Security

Aikido models a customer's application to find vulnerabilities and deliver fixes to production. Its agents run pentests and code audits, open pull requests with fixes, deploy fixes to staging and verify them.

Products

Code: finds and fixes vulnerabilities, malicious dependencies, secrets and code quality issues.
Cloud: shows live workloads, services, misconfigurations and data flows across environments.
Attack: runs automated attacks on applications, APIs and infrastructure to test what is exploitable.
Protect: blocks supply chain attacks through packages, extensions, plug-ins and AI tools on devices.

Used for

Detecting secrets in the IDE, CI and Git.
Reviewing pull requests for security issues.

From Aikido Security's own website, read 2026-10-23. How we build listings.

How to evaluate Application Security

This is how the CIOPages Research Team evaluates this category. It is not an assessment of Aikido Security. It comes from our DevSecOps & Application Security Testing buyer guide.

25%

Finding Accuracy & Risk Prioritization

False-positive and false-negative rates on your own code; reachability analysis (is the vulnerable function actually called?); runtime/exposure context; EPSS/CVSS-based scoring; how a flood of findings collapses to a short, ranked, defensible work queue

20%

Developer Workflow Integration

Native IDE plugins, PR/MR checks and inline comments, SCM (GitHub/GitLab/Bitbucket/Azure DevOps) and CI/CD integration, quality/security gates, credible one-click autofix, and how little context-switching a developer needs to remediate

20%

Scanning Coverage & Engine Depth

SAST, SCA, secrets, IaC, container, and DAST/API coverage; supported languages and frameworks; vulnerability and malicious-package intelligence; SBOM generation and open-source license analysis; scan speed on large monorepos

15%

ASPM & Consolidation

De-duplication and correlation across first- and third-party scanners, code-to-cloud/runtime context, application risk graph or single risk score per app, policy-as-code, and openness to ingesting tools you already own rather than locking you in

10%

AI-Generated Code Security

Detection of AI-assisted/AI-authored code, guardrails for coding-assistant and agentic workflows, security of LLM/MCP integrations and open-source AI models, and whether the platform keeps pace with code generated faster than humans review it

10%

Governance, Compliance & Deployment

RBAC/SSO, audit trails and attestation, policy gates mapped to PCI-DSS/SOC 2/NIST SSDF, SBOM/VEX export, SaaS vs. self-managed/air-gapped and FedRAMP options, and clean API/data export for your own reporting

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Bito provides AI code review agents that run system-aware PR reviews across GitHub, GitLab, and Bitbucket for engineering teams.

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