AI visibility report
Snyk ranks #7 in AI Code Review & Code Quality AI search.
Outside the top three on 17 of the 25 prompts buyers actually ask.
Sourcegraph is cited on 7 of those losses.
Free trial. Setup comes pre-filled for Snyk.
Also benchmarked
Snyk appears in another vertical
Track Snyk across these prompts daily.
Start free trial#7 among 11 vendors · still absent from 93.3% of tracked prompt responses
Top-3 citations across 150 prompt × platform pairs
Peer Ranking
Key Metrics
Platform Breakdown
Google AI Mode
ChatGPT
Perplexity
Gemini Search
Bing Copilot
GrokNarrower footprint, stronger tone. Snyk ranks #7 on presence but #6 on sentiment. That means the brand is framed well when it appears, but still needs broader prompt-response coverage.
Where Snyk is losing
Prompts where competitors are visible and Snyk is not.
These prompt-level losses are the first prompts to track and repair.
Where Snyk is winning2
What are the best automated code quality tools for a team of 15 engineers that wants to enforce standards without a dedicated security engineer?
Avg # 2.0 · 1 platform
Looking for a code quality tool that feeds results into a security dashboard for CISO-level reporting — which platforms have strong SIEM and security integrations?
Avg # 3.0 · 2 platforms
Where Snyk is losing5
I need a code quality tool that enforces quality gates in CI and blocks merges when coverage drops or critical issues are introduced — which platforms do this well?
Competitors on 3 platforms
Track this promptWhat code quality platforms scale to thousands of PRs per day without degrading analysis quality or response time?
Competitors on 3 platforms
Track this promptWhat AI code review platforms are popular with engineering leads who want to spend less time on repetitive PR feedback and more on architectural comments?
Competitors on 2 platforms
Track this promptWhich AI code review tools can detect security vulnerabilities and insecure coding patterns across multiple languages in the same repository?
Competitors on 2 platforms
Track this promptWhat AI code review tools can analyze infrastructure-as-code files alongside application code for a full-stack security posture review?
Competitors on 2 platforms
Track this prompt
Track Snyk daily before the next report refresh.
Track these gapsResearch dossierCapabilities, use cases, sources, reviews, pricing, and FAQ
Overview
Snyk is a developer-first application security platform founded in 2015 and headquartered in Boston, MA. Its unified platform covers the full SDLC through five core products: Snyk Code (SAST), Snyk Open Source (SCA), Snyk Container, Snyk IaC, and Snyk API & Web (DAST). Powered by the proprietary DeepCode AI engine, Snyk embeds security into developer workflows via IDE plugins, SCM integrations, and CI/CD connectors, offering automated fix suggestions and risk-based vulnerability prioritization. A curated proprietary vulnerability database added over 24,000 new entries in 2024. Snyk serves enterprises including Revolut, Spotify, and Okta and has raised approximately $1.2B–$1.32B in funding, achieving a peak valuation of $8.5B in 2021. Named a Gartner Peer Insights Customers' Choice for Application Security Testing three consecutive years through 2024, Snyk targets both developer and enterprise security-team buyers with a consolidated AppSec platform.
Snyk is a unified developer security platform offering SCA, SAST (via the DeepCode AI engine), container image scanning, Infrastructure as Code security, and DAST in a single product suite. It integrates into IDEs, SCMs, and CI/CD pipelines to embed vulnerability detection and AI-assisted remediation into the developer workflow, backed by a curated proprietary vulnerability database, reachability analysis, risk-based prioritization, and SBOM generation.
Key Facts
- Founded
- 2015
- HQ
- Boston, MA, USA
- Founders
- Guy Podjarny, Assaf Hefetz, Danny Grander
- Employees
- 1000-1500
- Funding
- ~$1.32B
- Customers
- 2.5M+ developers (2023 est.)
- Valuation
- $7.4B (Dec 2022 Series G; marked down by
- Status
- Private
Target users
Key Capabilities10
- Software Composition Analysis (SCA) with dependency graph, reachability analysis, and automated fix PRs
- Static Application Security Testing (SAST) via AI-powered DeepCode AI engine with context-aware fix suggestions
- Container image and Kubernetes vulnerability scanning with base image recommendations
- Infrastructure as Code (IaC) misconfiguration detection across Terraform, AWS, Azure, and GCP
- Dynamic Application Security Testing (DAST) for APIs and web apps via Snyk API & Web
- Risk-based vulnerability prioritization using CVSS v4.0, EPSS, exploit maturity, and reachability analysis
- Automated fix pull requests for both SCA and SAST findings across supported SCMs
- SBOM generation, enrichment, and testing for software supply chain transparency
- Curated proprietary vulnerability database with 24,000+ new entries added in 2024
- Application Security Posture Management (ASPM) via Snyk AppRisk with asset discovery and coverage reporting
Key Use Cases8
- Shift-left security integration in developer IDE and CI/CD workflows
- Open source dependency vulnerability detection and license compliance
- Container and base image security for cloud-native and microservices architectures
- Infrastructure as Code security policy enforcement during development
- Consolidated AppSec platform replacing multiple point tools (SCA, SAST, container, IaC, DAST)
- PCI-DSS, GDPR, and regulatory compliance via SBOM generation and license scanning
- Securing AI-generated code in agentic development workflows via MCP and Snyk Studio
- Application security posture management and risk reporting for security teams
Snyk customer outcomes
62% reduction in mean time to fix (3 months); 28% improvement in risk posture (6 months); 2x faster scanning
Komatsu adopted Snyk Open Source and Snyk Code as a single pane of glass for SCA and SAST, replacing two separate tools. Within three months of implementation, mean time to fix vulnerabilities decreased by 62%, and over six months, AppSec risk posture improved by 28%. Scan times
Revolut integrated Snyk to automate open source library monitoring across hundreds of repositories in a continuous integration environment, achieving PCI-DSS compliance and enabling automated Slack alerts for newly disclosed vulnerabilities. Snyk was the only vendor to meet all o
Spotify integrated Snyk into its build pipeline to scan for vulnerabilities in review builds across thousands of engineers, enabling the company to scale its security testing more quickly and safely while keeping developer needs central to the implementation.
Recent Trend
How AI describes Snyk3
Snyk (Best for Vulnerability & SCA Scanning) ------------------------------------------------ For security, container, and dependency scanning, Snyk provides a highly reliable pipeline setup primarily because of how customizable its CLI exits are.
What code analysis platforms have reliable CI integrations that don't cause flaky build failures due to rate limiting or API timeouts?
### DeepCode (Snyk Code) * Why engineers like it: Unlike pure LLMs, DeepCode uses semantic AI trained on millions of open-source repositories specifically for security.
Which AI code review tools give feedback that engineers actually find useful — not just style nitpicks but real logic and security issues?
Snyk: Built specifically for cloud-native velocity. Snyk handles massive PR volume by employing a localized static analysis engine (based on its DeepCode acquisition) that evaluates code changes via topological sorting and semantic rule-matching in seconds.
What code quality platforms scale to thousands of PRs per day without degrading analysis quality or response time?
Most cited sources8
5Snyk Code | SAST Code Scanning Tool | Code Security Analysis & Fixes | Snyk
snyk.io·Product Page
- 4
Infrastructure as Code Security | IaC Security Tools | IaC Scanning | Snyk
snyk.io·Product Page
- 3
Snyk Integrations | Snyk
snyk.io·Comparison
- 3
Snyk AI Security Fabric | Secure Code, Models & Agents | Snyk
snyk.io·Comparison
- 2
CI/CD Pipeline Security | Snyk
snyk.io·Comparison
- D1
Failing of builds in Snyk CLI | Developer tools | Snyk User Docs
docs.snyk.io·Documentation
Alternatives in AI Code Review & Code Quality6
Snyk positions itself as the developer-first, unified application security platform consolidating SCA, SAST, container, IaC, and DAST into a single product.
- Its core differentiation is embedding security into developer workflows (IDE, CI/CD, SCM) rather than treating it as a security-team gate.
- The proprietary DeepCode AI engine provides AI-driven fix suggestions, while its curated vulnerability database (24,000+ new entries in 2024) supports risk-based prioritization with reachability analysis and CVSS v4.0/EPSS scoring.
- Snyk has been named a Gartner Peer Insights Customers' Choice for Application Security Testing three consecutive years through 2024 and a Forrester Leader for SCA.
- Versus pure code-quality tools, Snyk emphasizes security breadth and enterprise compliance; versus legacy AST vendors like Checkmarx or Veracode, it emphasizes developer UX and shift-left adoption.
- Revenue growth has slowed materially (26.5% in 2024, ~12% in H1 2025), and investor write-downs signal valuation compression from its 2021 peak.
Reviews
Praised
- Ease of setup and fast onboarding
- Deep IDE and CI/CD pipeline integrations
- Actionable remediation advice with fixed version guidance
- Rapid CVE database updates (zero-days within 24 hours)
- Developer-friendly UX aligned to existing workflows
- Reachability analysis reducing false positives (paid tiers)
- Broad language and package ecosystem coverage
- Strong open source dependency (SCA) scanning
Criticized
- High volume of false positives causing alert fatigue
- Steep pricing for larger teams and enterprise plans
- Weaker SAST detection rate vs. specialized tools per independent benchmarks
- DAST (API & Web) in a separate, not fully integrated interface
- Inconsistent results between CLI and SCM-imported scans
- Slow or unhelpful customer support responses
- No on-premises deployment option
- Limited secrets detection capability
Snyk is broadly well-regarded for its developer-friendly UX, deep CI/CD and IDE integrations, actionable remediation guidance, and vulnerability database breadth. Gartner Peer Insights awards it 4.4/5 across 211 reviews in the Application Security Testing market, and G2 rates it 4.5/5 across 129 verified reviews. Snyk was named a Gartner Customers' Choice for AST three consecutive years through 2024. Reviewers consistently praise ease of setup, SCM integrations, and rapid CVE database updates. Common criticisms include excessive false positives (G2 false positive score 6.8/10), alert fatigue at scale, a weaker SAST detection rate than specialized tools per independent benchmarks, high pricing at enterprise scale, and slow customer support response times.
Pricing
Snyk offers four tiers. Free ($0) supports unlimited contributing developers with limited monthly test quotas (100 SAST, 200 SCA, 300 IaC, 100 container tests/month). Team ($25/month per developer, billed annually, min 5 / max 10 developers) adds license compliance, Jira integration, and higher test limits. Ignite ($1,260/year per developer, up to 50 developers) adds SBOM, SSO/SAML, custom roles, advanced analytics, DeepCode AI Fix, self-hosted SCM support, and 10 DAST targets. Enterprise is custom-priced and supports unlimited developers with FedRAMP, multi-group management, and premium support. DAST (Snyk API & Web) and Snyk Learn Program Management are available as paid add-ons. Vendr market data indicates enterprise contracts for 50–100 developers typically run $35,000–$90,000/year.
Limitations
- Reviewers frequently flag alert fatigue from false positives, particularly at scale; G2 rates Snyk's false positive score at 6.8/10.
- An independent EASE 2024 benchmark found Snyk Code's vulnerability detection rate (11.2%) to be the lowest of four SAST tools tested.
- Reachability analysis—a key false-positive reducer—is gated behind paid tiers (Ignite and above).
- The DAST product (Snyk API & Web, acquired from Probely in Nov 2024) runs in a separate interface and is not yet fully integrated into the core platform.
- Secrets detection capability is noted as limited relative to dedicated tools.
- No on-premises deployment option is offered (SaaS only, with Snyk Broker for air-gapped needs).
- Pricing scales steeply: SSO requires the Ignite tier ($1,260/developer/year); Vendr market data cites $35K–$90K/year for 50–100 developers on enterprise plans.
- Some reviewers note inconsistent scan results between CLI and SCM-imported scans for the same codebase.
Frequently asked questions
Topic coverageCoverage by buyer topic
Topic Coverage
Prompt-Level Results
| Prompt | Google AI Mode | Bing Copilot | Perplexity | ChatGPT | Gemini Search | Grok |
|---|---|---|---|---|---|---|
Capability2/5 cited (40%) | ||||||
I need a code quality tool that enforces quality gates in CI and blocks merges when coverage drops or critical issues are introduced — which platforms do this well? | ||||||
Which AI code review tools can detect security vulnerabilities and insecure coding patterns across multiple languages in the same repository? | ||||||
What AI code review tools can analyze infrastructure-as-code files alongside application code for a full-stack security posture review? | ||||||
What code quality platforms track technical debt trends over time and show whether the team is paying it down or accumulating more? | ||||||
Which AI PR review tools can summarize large diffs and give an overall assessment of a pull request rather than only commenting line by line? | ||||||
Developer Experience1/5 cited (20%) | ||||||
Looking for an AI PR review tool that learns from the codebase and past review decisions so feedback improves over time — what are my options? | ||||||
What AI code review platforms are popular with engineering leads who want to spend less time on repetitive PR feedback and more on architectural comments? | ||||||
Which code quality tools let teams define custom rules and guardrails specific to their architecture so the tool enforces their own conventions? | ||||||
Which AI code review tools give feedback that engineers actually find useful — not just style nitpicks but real logic and security issues? | ||||||
What code quality platforms have the lowest false positive rate so developers don't spend time dismissing irrelevant warnings? | ||||||
Integrations & Ecosystem2/5 cited (40%) | ||||||
What code review tools work across both cloud-hosted and on-premises version control systems for teams with a hybrid repository strategy? | ||||||
Which AI PR review platforms support self-hosted deployments that keep code on-premises and don't send source code to third-party models? | ||||||
Which code quality platforms integrate with issue trackers to automatically create tickets for critical issues found during code review? | ||||||
Looking for a code quality tool that feeds results into a security dashboard for CISO-level reporting — which platforms have strong SIEM and security integrations? | ||||||
What AI code review tools integrate with IDE plugins so developers get the same automated feedback locally before pushing a pull request? | ||||||
Performance & Reliability2/5 cited (40%) | ||||||
What code analysis platforms have reliable CI integrations that don't cause flaky build failures due to rate limiting or API timeouts? | ||||||
Which AI code review tools complete their analysis fast enough to not delay a PR workflow — which ones consistently finish within 2 minutes? | ||||||
Which AI code review tools maintain consistent review quality across a polyglot repository with Go, Python, and TypeScript services? | ||||||
Which AI review tools handle very large pull requests with 500+ changed files without timing out or producing incomplete feedback? | ||||||
What code quality platforms scale to thousands of PRs per day without degrading analysis quality or response time? | ||||||
Setup & First Run1/5 cited (20%) | ||||||
Which code quality platforms can analyze a 500k-line legacy codebase and give a prioritized technical debt report without manual configuration? | ||||||
I'm evaluating AI pull request review tools for a Python and TypeScript codebase — which ones require the least configuration to get useful feedback from day one? | ||||||
What AI code review tools have the smoothest version control platform integration so reviews appear inline on diffs automatically on every PR? | ||||||
Which AI code review tools can be added to a pull request workflow in under 30 minutes with no changes to existing CI pipelines? | ||||||
What are the best automated code quality tools for a team of 15 engineers that wants to enforce standards without a dedicated security engineer? | ||||||
Turn this matrix into daily prompt monitoring.
Track prompt changesVertical Ranking
| # | Brand | PresencePres. | Share of VoiceSoV | DocsDocs | BlogBlog | MentionsMent. | Avg PosPos | Sentiment |
|---|---|---|---|---|---|---|---|---|
| 1 | Qodo | 14.0% | 18.3% | 0.7% | 8.0% | 12.7% | #8.9 | +0.42 |
| 2 | CodeRabbit | 11.3% | 13.1% | 4.0% | 1.3% | 9.3% | #9.1 | +0.39 |
| 3 | SonarSource | 10.7% | 14.7% | 1.3% | 1.3% | 8.7% | #8.3 | +0.39 |
| 4 | Greptile | 10.0% | 11.5% | 0.0% | 0.0% | 8.7% | #7.8 | +0.49 |
| 5 | Sourcegraph | 8.7% | 8.4% | 0.0% | 8.7% | 8.7% | #3.8 | +0.38 |
| 6 | Graphite | 8.0% | 8.9% | 0.0% | 7.3% | 6.0% | #6.6 | +0.47 |
| 7 | Snyk | 6.7% | 7.9% | 0.7% | 0.0% | 6.0% | #10.9 | +0.40 |
| 8 | DeepSource | 4.7% | 4.7% | 0.0% | 0.7% | 4.0% | #7.9 | +0.36 |
| 9 | Codacy | 4.0% | 6.3% | 0.7% | 0.7% | 4.0% | #8.7 | +0.10 |
| 10 | Semgrep | 3.3% | 3.1% | 0.7% | 0.0% | 3.3% | #18.5 | +0.48 |
| 11 | Code Climate | 1.3% | 3.1% | 0.0% | 0.7% | 0.7% | #6.7 | +0.45 |
Turn this into your team dashboard
Sign up to unlock project-level analytics, daily tracking, actionable insights, custom prompt configurations, adoption tracking, AI traffic analytics and more.
Free trial. Setup comes pre-filled from this report.