AI visibility report for Semgrep
Vertical: DevSecOps & Application Security
AI search visibility benchmark across 5 platforms in DevSecOps & Application Security.
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Presence Rate
Top-3 citations across 125 prompt × platform pairs
Sentiment
Peer Ranking
Key Metrics
Platform Breakdown
Grok
Google AI Mode
Perplexity
ChatGPT
Gemini SearchOverview
Semgrep is a San Francisco-based application security platform founded in 2017 by Drew Dennison, Isaac Evans, and Luke O'Malley. It offers a unified suite of developer-first security tools—Semgrep Code (SAST), Semgrep Supply Chain (SCA), and Semgrep Secrets—delivered via a cloud-managed AppSec Platform. The platform combines deterministic static analysis with AI-powered triage, auto-remediation, and a 'Memories' feature that learns from past decisions to suppress recurring false positives. An open-source CLI engine drives broad community adoption, while commercial Pro and Enterprise tiers serve growth-stage and enterprise engineering teams. Semgrep has raised $204M in total funding, with a $100M Series D in February 2025 led by Menlo Ventures. Notable customers include Lyft, Dropbox, Figma, Slack, Snowflake, and GitLab.
Semgrep is an AI-assisted application security platform offering SAST, SCA, and secrets detection in a single developer-centric product. Built on an open-source static analysis engine, it combines deterministic rule-based scanning with contextual AI (Semgrep Assistant/Multimodal) for detection, triage, and fix guidance. Key differentiators include reachability-based SCA filtering, a transparent YAML rule engine supporting custom organizational rules, and an AI 'Memories' system that compounds triage efficiency over time. The platform embeds into developer workflows via CLI, CI/CD, IDE plugins, PR comments, and AI coding tool integrations (MCP for Cursor/Replit), targeting both individual developers and large AppSec programs.
Key Facts
- Founded
- 2017
- HQ
- San Francisco, CA, USA
- Founders
- Drew Dennison, Isaac Evans, Luke O'Malley
- Employees
- 201-300
- Funding
- $204M
- Customers
- 45+ enterprise customers
- Status
- Private
Target users
Key Capabilities9
- AI-assisted SAST (Semgrep Code) with cross-file taint analysis and Pro Engine
- SCA with reachability analysis to filter unreachable dependency vulnerabilities (Semgrep Supply Chain)
- Secrets detection using semantic analysis, entropy analysis, and secret validation (Semgrep Secrets)
- AI 'Memories' feature that learns from past triage decisions to auto-suppress repeat false positives
- Customizable YAML-based rule engine with 3,000+ community and Pro rules
- Semgrep Multimodal: combines deterministic rule-based analysis with AI reasoning for complex logic flaw detection
- Malicious open-source dependency detection and SBOM generation
- Secure Guardrails: proactive in-workflow security guidance for developers at PR/IDE/MCP level
- EPSS-based vulnerability prioritization and license compliance checking
Key Use Cases7
- Shift-left SAST integrated into CI/CD pipelines and pull requests
- Reducing SCA alert noise via reachability analysis to surface only exploitable dependencies
- Detecting and remediating hardcoded secrets in source code repositories
- Securing AI-generated and vibe-coded applications
- Building organization-specific security guardrails with custom rules
- Software supply chain attack protection and open-source malware detection
- Automating AppSec triage and remediation at scale for resource-constrained security teams
Semgrep customer outcomes
95% noise reduction in SCA findings
Semgrep Supply Chain replaced a prior SCA tool that was too noisy for developers to act on. With reachability analysis, Lyft's security team gained confidence surfacing actionable SCA findings to developers and rapidly identified and remediated all Log4Shell instances upon disclo
Vanta replaced opaque, non-customizable SAST/SCA tools with Semgrep and used reachability analysis to filter hundreds of unreachable findings, uncovering two exploitable reachable vulnerabilities that would otherwise have been missed in the noise.
Recent Trend
How AI describes Semgrep3
Semgrep (SAST) * Integrates with PRs and highlights pattern-matched issues directly in diffs.
Which application security tools integrate natively into the pull request workflow so findings can block or warn on merges?
...dium | Real-time AI engine and context-aware filtering | Developer-first IDE loops, automated remediation patches | | Semgrep | Medium (Highly Tunable) | Lightweight syntax matching + AI Assistant triage | Declarative YAML rulesets, mass s...
What secrets management tools are best for a small startup team to ensure developers never commit credentials to the repo?
Semgrep : Ultra-fast, open-source engine. Uses lightweight pattern matching.
I'm rolling out a software composition analysis tool across an engineering org — which platforms have the smoothest onboarding for large teams?
Most cited sources8
- S16
Semgrep App Security Platform | AI-assisted SAST, SCA and Secrets Detection
semgrep.dev·Documentation
- S6
Semgrep vs Github Advanced Security
semgrep.dev·Comparison
- G5
semgrep/semgrep: Lightweight static analysis for many ...
github.com·Documentation
- S4
Security scanning at ludicrous speed | Semgrep
semgrep.dev·Blog Post
- S3
Sample CI configurations | Semgrep
semgrep.dev·Comparison
- S3
Enterprise Scale Code Scanning: Semgrep Managed Scans Crossed 1 MILLION Weekly Scans | Semgrep
semgrep.dev·Blog Post
Alternatives in DevSecOps & Application Security6
Semgrep positions as a developer-first, high-signal AppSec platform emphasizing low false-positive rates, reachability-based SCA prioritization, and AI-powered triage and remediation.
- The company explicitly benchmarks against Snyk and Checkmarx, claiming faster scans, superior accuracy, and a more transparent, customizable rule engine.
- Its open-source core (Semgrep OSS) drives community adoption while commercial Pro and Enterprise tiers monetize at-scale teams.
- Semgrep differentiates from legacy enterprise SAST vendors (Checkmarx, Veracode) through developer-centric design and CI/CD-native deployment, and from newer CNAPP players (Wiz, Aqua) by focusing solely on code-layer security across SAST, SCA, and secrets.
Reviews
Praised
- Low false-positive rate vs. competing SAST/SCA tools
- Fast scan performance with minimal CI/CD impact
- Flexible, human-readable YAML custom rule engine
- Smooth CI/CD and SCM integration
- AI-assisted triage and autofix guidance
- Transparent, actionable findings with line-level detail
- Strong reachability analysis for SCA noise reduction
- Extensive public rule registry for quick onboarding
Criticized
- Noisy results out-of-the-box requiring upfront rule tuning
- Steep learning curve for advanced custom rule authoring
- Limited trunk-branch issue management features
- Enterprise dashboarding and governance less mature than incumbents
- Occasional scan timeouts with AI-based scanning
- Complex to maintain at larger organizational scales
- Limited integrations with some third-party security products
Users consistently rate Semgrep highly for its low false-positive rate relative to competing SAST/SCA tools, fast scan performance, smooth CI/CD integration, and the flexibility of its YAML-based custom rule engine. AI-assisted triage and autofix features receive strong praise for accelerating remediation workflows. Common criticisms include the need for upfront rule tuning to reduce noise from default configurations, a learning curve for advanced custom rules, limited trunk-branch management features, and enterprise dashboarding maturity gaps compared to legacy incumbents. G2 rates Semgrep at 4.6/5 (55 reviews); Gartner Peer Insights rates it at 4.4/5 (15 reviews in the Application Security Testing market).
Pricing
- Free Edition
$0 for up to 10 contributors; includes Semgrep Code and Supply Chain with Pro Engine, cross-file analysis, AI triage/remediation, and up to 50 repositories.
- Teams
starting at $30/month per contributor for Code or Supply Chain; $15/month per contributor for Secrets; includes SSO (OIDC/SAML), RBAC, REST API, Wiz and Palo Alto Networks integrations, and up to 500 private repositories.
- Enterprise
custom pricing; adds on-premises SCM support, custom CI/CD integrations, optional dedicated infrastructure deployment, unlimited repositories and contributors, dedicated account manager, tailored onboarding, volume pricing, and custom AI model provider. Contributors defined as anyone who committed to a scanned private repo in the past 90 days.
Limitations
- On-premises SCM and custom CI/CD integrations are Enterprise-only.
- Custom AI model provider selection is restricted to the Enterprise tier.
- Secrets detection is not available on the Free plan.
- The Free plan is capped at 10 contributors and 50 repositories.
- Users report that out-of-the-box rule configurations may produce noisy results requiring upfront tuning effort.
- Review feedback notes a steep learning curve for advanced custom rule authoring and limited features for managing issues in trunk branches.
- Enterprise dashboarding and governance features are noted as less mature than legacy incumbents.
Frequently asked questions
Topic Coverage
Prompt-Level Results
| Prompt | Gemini Search | Perplexity | ChatGPT | Google AI Mode | Grok |
|---|---|---|---|---|---|
Capability1/5 cited (20%) | |||||
Which SAST tools have the lowest real-world false positive rates and the best tooling for managing them at scale? | |||||
What tools cover SAST, DAST, and SCA in one platform — and which do teams use to cover all three vulnerability types without tool sprawl? | |||||
Which secret scanning tools are best at both detecting credentials in git history and preventing new secrets from being committed? | |||||
Which application security platforms go beyond known CVEs to detect logic-level vulnerabilities and misconfigurations? | |||||
Which software supply chain security tools detect malicious packages, not just known vulnerable versions? | |||||
Developer Experience5/5 cited (100%) | |||||
Which DevSecOps platforms handle vulnerability prioritisation well when there are hundreds of findings across multiple repositories? | |||||
Which security scanning tools are best at reducing noise so developers actually act on alerts instead of ignoring them? | |||||
Which application security tools offer the best IDE-native experience vs. CI-only scanning — and what are the tradeoffs for developer adoption? | |||||
What security tooling do teams typically use for managing findings across dozens of repositories from a single security engineer workflow? | |||||
Which application security platforms are best at communicating vulnerabilities to developers in an actionable way rather than just generating noise? | |||||
Integrations & Ecosystem0/5 cited (0%) | |||||
Which application security tools integrate natively into the pull request workflow so findings can block or warn on merges? | |||||
Which DevSecOps tools integrate best with SIEM platforms for correlating app security findings with infrastructure events? | |||||
Which DevSecOps platforms have the best two-way integration with ticketing systems for tracking vulnerability remediation end to end? | |||||
Which security scanning platforms have the best support for SBOM generation workflows for compliance and audit requirements? | |||||
What cloud security posture management tools integrate well with container and orchestration platform security scanning? | |||||
Performance & Reliability3/5 cited (60%) | |||||
Which security vendors update their vulnerability databases fastest after major CVE disclosures like Log4Shell? | |||||
Which security scanning platforms handle availability well so a critical fix can still ship even if the scanning service goes down temporarily? | |||||
Which runtime application security tools have the lowest production overhead and are safe to run on high-traffic services? | |||||
Which application security scanning tools are fastest at scale and least likely to slow down PR pipelines as the codebase grows? | |||||
Which enterprise application security platforms scale best when scanning thousands of repositories across multiple teams? | |||||
Setup & First Run2/5 cited (40%) | |||||
What secrets management tools are best for a small startup team to ensure developers never commit credentials to the repo? | |||||
I'm rolling out a software composition analysis tool across an engineering org — which platforms have the smoothest onboarding for large teams? | |||||
Which SAST tools integrate into an existing CI pipeline without slowing down developer velocity? | |||||
What are the best software supply chain security tools for a polyglot monorepo with Node.js, Python, and Go services? | |||||
What are the best container image scanning tools that catch vulnerabilities before images are pushed to production? | |||||
Strengths1
What security tooling do teams typically use for managing findings across dozens of repositories from a single security engineer workflow?
Avg # 3.0 · 1 platform
Gaps5
Which DevSecOps platforms handle vulnerability prioritisation well when there are hundreds of findings across multiple repositories?
Competitors on 4 platforms
Which application security platforms are best at communicating vulnerabilities to developers in an actionable way rather than just generating noise?
Competitors on 4 platforms
What tools cover SAST, DAST, and SCA in one platform — and which do teams use to cover all three vulnerability types without tool sprawl?
Competitors on 3 platforms
What are the best container image scanning tools that catch vulnerabilities before images are pushed to production?
Competitors on 3 platforms
Which software supply chain security tools detect malicious packages, not just known vulnerable versions?
Competitors on 3 platforms
Vertical Ranking
| # | Brand | PresencePres. | Share of VoiceSoV | DocsDocs | BlogBlog | MentionsMent. | Avg PosPos | Sentiment |
|---|---|---|---|---|---|---|---|---|
| 1 | Endor Labs | 36.0% | 20.8% | 0.0% | 35.2% | 31.2% | #19.6 | +0.28 |
| 2 | Wiz | 32.0% | 16.2% | 0.0% | 0.0% | 29.6% | #20.5 | +0.24 |
| 3 | Checkmarx | 28.0% | 17.3% | 2.4% | 2.4% | 27.2% | #24.0 | +0.28 |
| 4 | Snyk | 24.0% | 15.8% | 5.6% | 9.6% | 22.4% | #31.4 | +0.24 |
| 5 | Jit | 18.4% | 6.3% | 0.0% | 0.0% | 16.0% | #15.5 | +0.21 |
| 6 | Veracode | 12.0% | 8.3% | 1.6% | 6.4% | 12.0% | #27.2 | +0.27 |
| 7 | Semgrep | 10.4% | 7.0% | 3.2% | 4.0% | 9.6% | #45.6 | +0.33 |
| 8 | SonarSource | 6.4% | 2.6% | 0.0% | 0.8% | 6.4% | #24.8 | +0.19 |
| 9 | Aqua Security | 5.6% | 1.8% | 0.0% | 0.0% | 4.8% | #32.8 | +0.23 |
| 10 | GitGuardian | 4.8% | 3.7% | 0.8% | 4.0% | 3.2% | #24.4 | +0.10 |
| 11 | Socket | 0.8% | 0.2% | 0.0% | 0.0% | 0.8% | #20.0 | +0.00 |
| 12 | Chainguard | 0.0% | 0.0% | 0.0% | 0.0% | 0.0% | — | — |
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