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Aikido Security icon

Aikido Security

Freemium
www.aikido.dev

Developer-first application security platform. Scans code, cloud, containers, and dependencies for vulnerabilities in one unified dashboard.

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Added on February 25, 2026← Back to all tools

What does this tool do?

Aikido Security is a unified application security platform designed to consolidate vulnerability scanning across the entire software development lifecycle. It combines static analysis (SAST), software composition analysis (SCA), infrastructure-as-code scanning, container image analysis, and cloud posture management into a single dashboard. The platform distinguishes itself through AI-powered capabilities—including AI SAST for smarter code analysis, AI pentesting that claims to outperform human testers, and automated remediation via AutoFix. It also offers runtime protection with threat detection and bot defense. The tool targets developers primarily, emphasizing ease of integration with IDEs and CI/CD pipelines rather than requiring separate security teams. The platform covers both pre-deployment scanning (code, dependencies, containers) and post-deployment runtime defense, positioning it as an end-to-end AppSec solution.

AI analysis from Feb 25, 2026

Key Features

  • Multi-scanner SAST and AI SAST for static code analysis with automated fix suggestions
  • Software Composition Analysis (SCA) with malware detection, license compliance, and outdated software identification
  • Infrastructure-as-Code scanning for detecting misconfigurations in Terraform, CloudFormation, and similar templates
  • Cloud Security Posture Management (CSPM) with real-time scanning of virtual machines, Kubernetes, and container registries
  • AI-powered penetration testing and bug bounty validation for offensive security testing
  • Runtime protection with threat detection, AI monitoring, and bot protection for deployed applications
  • IDE integrations and CI/CD pipeline security with local scanning capabilities
  • Automated remediation (AutoFix) to reduce manual fix overhead

Use Cases

  • 1Automating vulnerability scanning across code repositories, dependencies, and infrastructure-as-code before deployment
  • 2Generating SBOMs and managing open-source license compliance at scale
  • 3Integrating security checks directly into CI/CD pipelines to catch issues early without slowing developer workflows
  • 4Performing AI-assisted penetration testing and attack surface validation as an alternative to manual pentests
  • 5Managing cloud security posture across AWS, Azure, and other cloud environments with real-time visibility
  • 6Detecting and blocking zero-day exploits and suspicious runtime behavior in production applications
  • 7Meeting compliance requirements (SOC 2, ISO) through automated policy enforcement and audit reporting

Pros & Cons

Advantages

  • Unified platform eliminates the need for multiple point solutions—scanning code, containers, cloud, and runtime from one dashboard reduces tool sprawl and context switching
  • AI-powered features like AutoFix and AI pentesting reduce manual remediation burden and provide faster security insights than traditional static analysis alone
  • Strong developer-first design with IDE integrations and CI/CD native support means security fits into existing workflows rather than forcing new processes
  • Comprehensive coverage across the entire software lifecycle from source code to runtime, addressing both preventative and detective security needs

Limitations

  • Pricing details are not publicly available on the website, making it difficult to assess cost-effectiveness for small teams or compare against competitors
  • The breadth of features (9+ scanners across code, cloud, and runtime) may create complexity in configuration and tuning for smaller organizations without dedicated AppSec staff
  • AI pentesting and bug bounty validation are positioned as 'new' features, suggesting they may lack the maturity and track record of established tools in those categories
  • No clear information about false positive rates, tuning capabilities, or how the AI components compare quantitatively to human-led penetration testing

Pricing Details

Pricing details not publicly available.

Who is this for?

Development teams (junior to senior engineers), DevSecOps practitioners, and AppSec teams in startups to enterprise organizations. Best suited for companies using cloud infrastructure (AWS, Azure, GCP), containerized deployments, and CI/CD pipelines. Also relevant for regulated industries (FinTech, HealthTech, Banking, Public Sector) requiring compliance automation and vulnerability management.

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