Directory CybersecurityApplication SecuritySnyk

Snyk

About Snyk

Snyk provides an AI Security Platform that secures AI-generated code, governs AI development agents, and secures AI-native applications. The platform is organized around three linked areas covering automated AI attacks, agentic development, and AI applications. It finds and fixes security issues across code, dependencies, containers, and cloud infrastructure. It integrates with tools teams already use, including IDEs, CI/CD pipelines, and AI coding assistants. Snyk uses a combination of proprietary security engines, self-hosted models, and third-party frontier models.

Products

Evo Agent Security: Provides AI-native security orchestration covering code, backlog, models, and agents.
Agentic Development Security (ADS): Governs what agents use, what they do, and what they generate.
AI Security Posture Management (AI-SPM): Serves as a centralized command center for AI security posture with automated, code-first governance.
Continuous Offensive Security (COS): Uses AI Pentesting and Red Teaming to find architectural flaws and chained business-logic vulnerabilities.
Agentic AppSec (AAS): Finds business-logic and authorization flaws and ships validated, mergeable fixes across new and existing code.

Used for

Scanning code in real time for vulnerabilities.
Validating external tools before agents use them.
Governing agent behavior during execution.
Discovering and inventorying assets including code, dependencies, and AI models.
Applying one-click fixes to vulnerabilities in the IDE and pull requests.

Who it is for

Individual developers and small teams.
Development teams of up to 10 developers.
Maintainers of open source software.

From Snyk'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 Snyk. 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

Other Application Security Vendors

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

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