Industry-validated leadership | ✔ Only AppSec vendor recognized as a Leader across major analyst evaluations Snyk was named a Leader in the 2025 Gartner Magic Quadrant for Application Security Testing, as well as a Leader in the 2024 Forrester Wave for Software Composition Analysis – where Snyk was named the Customer Favorite – and the 2024 Forrester Wave for Software Application Security Testing, receiving above-average customer feedback. Snyk was also named a leader in the 2025 IDC MarketScape for Application Security Posture Management. | ✘ Not an established industry leader in AppSec Aikido was named a Major Player in the 2025 IDC MarketScape for Application Security Posture Management, but has not been included in other major AppSec analyst evaluations and is not recognized as a leader. |
| ✔ Deep, reliable detection with complete visibility Delivers accurate, high-quality analysis across code, dependencies, containers, and IaC using proprietary engines, backed by Snyk Security Research. By unifying risk signals across the entire SDLC, Snyk gives teams a complete, trusted picture of exposure, making it easier to understand what matters, where it exists, and how to fix it. | ✘ Variable detection depth with limited visibility Aikido relies primarily on open source scanners, resulting in varying levels of detection depth and consistency across scan types. This can give teams only a partial view of risk, with results differing across code, dependencies, containers, and IaC, making it harder to understand true exposure. |
Developer adoption & productivity
| ✔ Security that fits how developers work Snyk brings real-time security into IDEs, PRs, and CI/CD pipelines, delivering actionable insights and AI-powered fix guidance without breaking developer flow. This drives adoption, improves remediation times, and helps organizations build sustainable DevSecOps practices. | ✘ Developer workflows depend on OSS engine output Aikido offers basic developer integrations, but scan speed, output quality, and fix suggestions depend heavily on the underlying open source tools. This variability can introduce friction and slow development as teams scale or projects become more complex. |
| ✔ Multi-signal prioritization for real-world risk Snyk uses a multi-signal approach, including reachability, exploitability, dependency context, and fix availability, to surface the issues that matter most. Teams get transparent, actionable prioritization that empowers both developers and security to reduce real risk and accelerate remediation. | ✘ Limited context for understanding true risk Aikido’s auto-triage relies primarily on SAST reachability. This limited visibility can hide or miss issues that still matter, making it difficult for teams to know whether they truly understand their application risk. |
| ✔ Enterprise-ready guardrails and control Snyk provides robust RBAC, audit logs, policy management, and multi-team workflows designed to scale with growing engineering organizations. Whether supporting a small squad or a large enterprise, Snyk offers the governance needed to manage secure development at scale. | ✘ Lightweight governance for smaller teams Aikido’s governance model is minimal, with limited policies, controls, and workflow support. As codebases and teams grow, organizations may need to rely on external tooling or manual processes to achieve appropriate oversight. |
| ✔ Purpose-built AI security and governance Snyk delivers AI-native protection through Evo agents, policy-based guardrails, AI risk registries, and secure AI workflows. Teams can confidently adopt AI coding tools while maintaining consistency, compliance, and secure-by-default practices. | ✘ No AI governance or guardrails Aikido’s AI functionality focuses primarily on generating fix suggestions. Without AI risk tracking, guardrails, or agent-driven workflows, security and engineering teams may lack the controls needed to safely scale AI-assisted development. |
