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AI visibility report

Semgrep ranks #6 in DevSecOps & Application Security AI search.

Outside the top three on 20 of the 25 prompts buyers actually ask.

Endor Labs is cited on 14 of those losses.

25 prompts
6 platforms
Updated Jul 17, 2026 - refreshed weekly
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9percent
Presence Rate
Low presence

#6 among 12 vendors · still absent from 91.3% of tracked prompt responses

Top-3 citations across 150 prompt × platform pairs

+0.41
Sentiment
-1.00.0+1.0
Positive
#6of 12

Peer Ranking

#1#12
Mid-packin DevSecOps & Application Security

Key Metrics

Presence Rate8.7%
Share of Voice8.0%
Avg Position#41.7
Docs Presence2.7%
Blog Presence4.0%
Brand Mentions35.3%

Platform Breakdown

Grok
32%8/25 prompts
ChatGPT
8%2/25 prompts
Gemini Search
8%2/25 prompts
Bing Copilot
4%1/25 prompts
Google AI Mode
0%0/25 prompts
Perplexity
0%0/25 prompts

Narrower footprint, stronger tone. Semgrep ranks #6 on presence but #2 on sentiment. That means the brand is framed well when it appears, but still needs broader prompt-response coverage.

Where Semgrep is losing

Prompts where competitors are visible and Semgrep is not.

These prompt-level losses are the first prompts to track and repair.

Where Semgrep is winning2

  • Which application security tools integrate natively into the pull request workflow so findings can block or warn on merges?

    Avg # 2.0 · 1 platform

  • 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

Where Semgrep is losing5

  • Which software supply chain security tools detect malicious packages, not just known vulnerable versions?

    Competitors on 5 platforms

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  • Which security scanning tools are best at reducing noise so developers actually act on alerts instead of ignoring them?

    Competitors on 5 platforms

    Track this prompt
  • Which application security tools offer the best IDE-native experience vs. CI-only scanning — and what are the tradeoffs for developer adoption?

    Competitors on 4 platforms

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  • Which application security platforms are best at communicating vulnerabilities to developers in an actionable way rather than just generating noise?

    Competitors on 3 platforms

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  • Which DevSecOps platforms have the best two-way integration with ticketing systems for tracking vulnerability remediation end to end?

    Competitors on 3 platforms

    Track this prompt

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Research dossierCapabilities, use cases, sources, reviews, pricing, and FAQ

Overview

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

Application security (AppSec) engineers and security teamsSoftware developers and DevSecOps practitionersCISOs and security leaders at growth-stage and enterprise companiesFintech and SaaS/cloud-native engineering organizationsSecurity consultants performing code auditsStartups and small teams (via free tier)

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

Lyft

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

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

Visibility+0.0 pts
Avg position-2.54
Sentiment-0.04

How AI describes Semgrep3

| | Semgrep | Open-source rules execute locally. Enterprise features synchronize to the cloud, but code scanning itself doesn't require the SaaS platform.

Which security scanning platforms handle availability well so a critical fix can still ship even if the scanning service goes down temporarily?

chatgpt-searchDirect Semgrep mention
\[1\] Here's how the leading options compare: | Tool | Best for | CI performance | Notes | | --- | --- | --- | --- | | Semgrep | Fast-moving engineering teams | ⭐⭐⭐⭐⭐ | Extremely fast rule engine, great PR scanning, highly customizable.

Which SAST tools integrate into an existing CI pipeline without slowing down developer velocity?

chatgpt-searchDirect Semgrep mention
...| --- | --- | --- | | Snyk | Excellent | Excellent | Organizations prioritizing developer adoption and broad coverage | | Semgrep | Excellent | Excellent | Fast SAST with custom rules and security engineering teams | | GitHub (CodeQL) | Good (especiall...

Which application security tools offer the best IDE-native experience vs. CI-only scanning — and what are the tradeoffs for developer adoption?

chatgpt-searchDirect Semgrep mention

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.
View category comparison hub

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 coverageCoverage by buyer topic

Topic Coverage

Capability1/5DevEx5/5Integrations &Ecosystem1/5Performance &Reliability2/5Setup & First Run1/5

Prompt-Level Results

Brand citedCompetitor citedNot cited
PromptGoogle AI ModeChatGPTPerplexityBing CopilotGemini SearchGrok
Capability1/5 cited (20%)

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?

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 SAST tools have the lowest real-world false positive rates and the best tooling for managing them at scale?

Which secret scanning tools are best at both detecting credentials in git history and preventing new secrets from being committed?

Developer Experience5/5 cited (100%)

Which application security platforms are best at communicating vulnerabilities to developers in an actionable way rather than just generating noise?

What security tooling do teams typically use for managing findings across dozens of repositories from a single security engineer workflow?

Which security scanning tools are best at reducing noise so developers actually act on alerts instead of ignoring them?

Which DevSecOps platforms handle vulnerability prioritisation well when there are hundreds of findings across multiple repositories?

Which application security tools offer the best IDE-native experience vs. CI-only scanning — and what are the tradeoffs for developer adoption?

Integrations & Ecosystem1/5 cited (20%)

What cloud security posture management tools integrate well with container and orchestration platform security scanning?

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?

Which application security tools integrate natively into the pull request workflow so findings can block or warn on merges?

Performance & Reliability2/5 cited (40%)

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 security vendors update their vulnerability databases fastest after major CVE disclosures like Log4Shell?

Which enterprise application security platforms scale best when scanning thousands of repositories across multiple teams?

Which application security scanning tools are fastest at scale and least likely to slow down PR pipelines as the codebase grows?

Setup & First Run1/5 cited (20%)

Which SAST tools integrate into an existing CI pipeline without slowing down developer velocity?

I'm rolling out a software composition analysis tool across an engineering org — which platforms have the smoothest onboarding for large teams?

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?

What secrets management tools are best for a small startup team to ensure developers never commit credentials to the repo?

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Vertical Ranking

#BrandPres.SoVDocsBlogMent.PosSentiment
1Endor Labs34.0%27.4%0.0%33.3%21.3%#17.3+0.33
2Wiz20.7%14.1%0.0%0.0%26.0%#24.1+0.41
3Checkmarx20.0%15.8%1.3%1.3%38.0%#25.4+0.32
4Snyk17.3%15.3%7.3%6.0%67.3%#32.2+0.36
5Jit11.3%5.0%0.0%0.0%5.3%#17.0+0.34
6Semgrep8.7%8.0%2.7%4.0%35.3%#41.7+0.41
7Veracode7.3%6.8%0.7%6.7%28.0%#34.3+0.37
8Aqua Security5.3%2.3%0.0%0.0%13.3%#29.8+0.36
9SonarSource4.7%2.5%0.0%2.0%2.7%#24.9+0.35
10GitGuardian3.3%2.5%0.7%2.7%7.3%#27.2+0.44
11Socket0.7%0.3%0.0%0.0%6.7%#20.0+0.00
12Chainguard0.0%0.0%0.0%0.0%0.7%

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