# Veracode AI visibility in DevSecOps & Application Security

Canonical: https://devtune.ai/verticals/devsecops-application-security/veracode

[Website](https://www.veracode.com/)

Updated: 2026-10-16T02:51:45.583033+00:00
Prompts: 25
Runs: 6


## Platforms

- google-ai-mode
- perplexity
- chatgpt-search
- google-ai
- bing-copilot-search
- xai-search

Rank: 6
Total brands: 12
Measured responses: 150
Presence percent: 9.333333333333334
Share of voice percent: 9.341825902335456
Average position: 26.181818181818183
Docs presence percent: 3.3333333333333335
Blog presence percent: 4.666666666666667
Brand mention percent: 24


## Profile

Overview: Veracode is a Burlington, Massachusetts–based application security company founded in 2006 and currently private-equity backed by TA Associates and Thoma Bravo at a $2.5 billion valuation. Its cloud-native Application Risk Management Platform delivers SAST, DAST, SCA, ASPM, container security, AI-powered code remediation, malicious package blocking, penetration testing as a service, and developer security training under a single SaaS interface. The platform has scanned more than 1.5 million applications and helped remediate over 135 million software flaws, drawing on two decades of proprietary vulnerability research. Serving 2,500+ enterprise customers across financial services, government, healthcare, retail, and technology sectors, Veracode has been named a Gartner Magic Quadrant Leader for Application Security Testing for eleven consecutive years (2025) and integrates with 40+ developer tools including Jenkins, GitHub, Azure DevOps, Jira, and major IDEs.
Product summary: Veracode's Application Risk Management Platform is a cloud-native SaaS solution unifying binary SAST, DAST, SCA, ASPM (via Risk Manager), container security, AI-driven code remediation (Veracode Fix), malicious package blocking (Package Firewall, powered by Phylum), penetration testing as a service, and developer eLearning and Security Labs. Supporting 24 programming languages, 77 frameworks, and 40+ CI/CD, IDE, and SCM integrations, the platform enables enterprise security and development teams to detect, contextualize, and remediate application vulnerabilities across the full SDLC with compliance-ready policy governance and less than 1.1% false-positive rate.


### Key capabilities

- Binary SAST scanning of compiled code and bytecode across 24+ programming languages without requiring source-code upload
- Dynamic Application Security Testing (DAST) with Enterprise Mode for web apps, APIs, and external attack surface management
- Software Composition Analysis (SCA) for open-source and third-party dependency vulnerabilities with SBOM generation
- AI-powered code remediation (Veracode Fix) delivering auto-fix suggestions directly in developer IDEs
- Application Security Posture Management (ASPM) via Veracode Risk Manager, aggregating and deduplicating findings from Veracode and third-party tools
- Malicious package blocking (Package Firewall) powered by Phylum threat intelligence for supply-chain attack prevention
- Container and Infrastructure-as-Code (IaC) security scanning
- Penetration Testing as a Service (PTaaS) combining automated and expert-led manual testing
- Developer security training via eLearning and hands-on Security Labs
- Enterprise compliance and policy governance with dashboards aligned to PCI, HIPAA, OWASP, and other frameworks



### Target users

- Enterprise application security teams and AppSec program managers
- DevSecOps engineers and software developers in CI/CD-driven environments
- CISOs and security program leaders in Fortune 500 and large enterprises
- Compliance and risk officers in regulated industries (financial services, government, healthcare)
- Security engineers responsible for supply-chain and open-source risk governance



### Key use cases

- Shift-left vulnerability detection embedded in CI/CD pipelines and developer IDEs
- Open-source and software supply chain risk management
- Compliance and audit reporting for regulated industries (financial services, government, healthcare)
- AI-generated and vibe-coded application security validation
- Enterprise-wide application risk visibility and remediation prioritization (ASPM)
- Developer secure-coding enablement and skill-building
- Container and cloud-native application security
- Penetration testing and manual security validation for high-value applications

Integrations ecosystem: Veracode offers 40+ integrations spanning the full developer toolchain. IDE plugins support Eclipse, IntelliJ IDEA, Visual Studio, and VS Code (including Veracode Greenlight for real-time feedback). CI/CD integrations include Jenkins, GitHub Actions, GitLab CI, Azure DevOps, CircleCI, AWS CodeBuild, Bamboo, and Bitbucket pipelines. SCM integrations cover GitHub, GitLab, and Azure Repos. Ticketing and issue-tracking integrations include Jira and Bugzilla. GRC integration is available via RSA Archer. WAF integrations support Imperva and ModSecurity. Container/registry integrations include Docker and Artifactory. Veracode Risk Manager (ASPM) ships with six additional third-party integrations including Wiz (announced 2025). Comprehensive REST and XML APIs, plus an open-source community of pipeline and automation scripts, enable further custom SDLC embedding.
Pricing summary: Veracode does not publish list prices and requires a custom quote. Third-party estimates for 2025 indicate starting costs of approximately $15,000/year for basic SAST coverage (up to ~100 applications), with DAST running roughly $20,000–$25,000/year for medium-sized portfolios, SCA starting around $12,000/year, and full enterprise suites commonly exceeding $100,000/year. Pricing scales with number of applications, scan frequency and depth, lines of code, selected modules, support tier, and contract length. Volume discounts and multi-year agreements are available. Per-application and per-microservice licensing models are offered. No free tier or public trial is available.
Review summary: Veracode earns strong marks from enterprise security practitioners for its platform breadth, low false-positive SAST, compliance reporting, and responsive support. Gartner Peer Insights reviewers (4.6/5 across 424 ratings) consistently cite reliable static and dynamic analysis, intuitive dashboards, and strong CI/CD integration. Critical themes across G2 and Gartner include high pricing, complex per-application licensing, aggressive sales renewal tactics, a SaaS-only deployment model, and a noticeable feature lag between US and EU markets. Some users flag scan times slowing CI pipelines on large codebases and limited out-of-the-box Python/JavaScript support depth compared to developer-first alternatives.
Competitive positioning: Veracode targets enterprise security and DevSecOps teams with a compliance-driven, cloud-native application security platform differentiated by 20+ years of proprietary vulnerability research, binary SAST (no source-code upload required), and a unified multi-scan-type governance layer under a single SaaS interface. Named a Gartner Magic Quadrant Leader for Application Security Testing for 11 consecutive years (2025) and Gartner Peer Insights Customers' Choice for five consecutive years, Veracode competes most directly with Checkmarx and OpenText Fortify at the enterprise end, and with Snyk and SonarSource among developer-centric buyers. Newer entrants such as Semgrep and Endor Labs challenge on price transparency and developer experience, while Veracode defends on breadth of coverage, compliance reporting depth, ASPM capabilities, and expert-services layer.
Limitations: Veracode is SaaS-only with no on-premises deployment option, which some regulated or air-gapped environments find restrictive (noted by Gartner analysts). Pricing is opaque and custom-quoted with no public tiers; total cost of ownership is considered high relative to developer-first alternatives, and per-application licensing can escalate quickly. Binary SAST requires compiled code or binary upload, adding setup complexity versus source-based scanners. Scan times can slow CI pipelines for large codebases. Users report a feature-parity lag between the US and European markets. Some reviewers note limited Python and JavaScript support depth relative to competing SAST tools. No free trial is available. Sales tactics have drawn criticism in user reviews for being overly aggressive.


### Source urls

- https://www.veracode.com/
- https://en.wikipedia.org/wiki/Veracode
- https://www.gartner.com/reviews/product/veracode
- https://finance.yahoo.com/news/veracode-named-leader-gartner-magic-154800305.html
- https://www.businesswire.com/news/home/20240909662523/en/Total-Economic-Impact-Study-Reveals-a-Return-on-Investment-of-184-for-Veracode-Application-Risk-Management-Platform-Customers
- https://www.businesswire.com/news/home/20250320889134/en/Veracode-Achieves-Record-Year-with-Significant-Growth-and-Strategic-Expansion
- https://tracxn.com/d/companies/veracode/__8v7QT7Em5BmALUaiWtcIJXLTJ4bxwzbI_NK_OU_BmBE
- https://www.veracode.com/customers/cox-automotive/
- https://docs.veracode.com/r/Veracode_Integrations
- https://beaglesecurity.com/blog/article/veracode-pricing.html
- https://underdefense.com/industry-pricings/veracode-pricing-2025-ultimate-guide-for-security-products/
- https://www.g2.com/sellers/veracode
- https://www.devopsdigest.com/veracode%E2%80%99-announces-new-developer-focused-features
- https://www.inc.com/peter-cohan/5-ways-this-25-billion-tech-company-takes-lead.html

Reviewed at: 2026-04-28T23:07:23.146+00:00


### Customer outcomes

| Customer | Summary | Metric |
| --- | --- | --- |
| Cox Automotive | After replacing a slower AppSec provider with Veracode, Cox Automotive's scan times dropped from days to minutes across its portfolio of 400+ onboarded applications. Developers adopted security scanning directly in their IDEs, enabling a cultural shift that made security a shared | 60% of scans finish in under 5 minutes; 75% finish in under 10 minutes |



### Reviews breakdown

| Platform | Score | Score max | Review count | Url |
| --- | --- | --- | --- | --- |
| Gartner Peer Insights | 4.6 | 5 | 424 | https://www.gartner.com/reviews/product/veracode |
| G2 | 4 | 5 | 43 | https://www.g2.com/sellers/veracode |



### Review themes



#### Praised

- Unified SAST, DAST, and SCA under a single platform
- Low false-positive rate with actionable findings
- Strong compliance and policy reporting dashboards
- Broad CI/CD and IDE integration ecosystem
- Detailed remediation guidance and in-context learning
- Responsive customer support and onboarding teams
- Mature SCA capabilities with comprehensive vulnerability database
- Policy-driven enforcement for enterprise governance



#### Criticized

- High pricing and complex per-application licensing model
- Aggressive and pressurizing sales/renewal tactics
- Feature parity lag between US and European markets
- SaaS-only model with no on-premises deployment option
- Slow scan times on large codebases impacting CI pipeline speed
- Binary SAST requires compiled code upload, adding setup complexity
- Limited depth of Python and JavaScript static analysis support
- Steep learning curve and configuration overhead for new users




### Company facts

Founded year: 2006
Hq: Burlington, MA, USA


#### Founders

- Chris Wysopal
- Christien Rioux
- Jeff Fagnan

Employees range: 500-1000
Total funding: ~$107M (pre-acquisition VC)
Valuation: $2.5B
Arr: Not available
Customer count: 2,500+
Status: Private (PE-backed: TA Associates majority + Thoma Bravo min


Readiness: Not available


## Ranking

| Display name | Pair count | Total pairs | Presence percent | Avg position |
| --- | --- | --- | --- | --- |
| Snyk | 42 | 150 | 28.000000000000004 | 24.479166666666668 |
| Endor Labs | 37 | 150 | 24.666666666666668 | 22.924050632911392 |
| Checkmarx | 31 | 150 | 20.666666666666668 | 21.4875 |
| Wiz | 28 | 150 | 18.666666666666668 | 22.822580645161292 |
| Semgrep | 24 | 150 | 16 | 25.216666666666665 |
| Veracode | 14 | 150 | 9.333333333333334 | 26.181818181818183 |
| Jit | 9 | 150 | 6 | 23.666666666666668 |
| Aqua Security | 7 | 150 | 4.666666666666667 | 32.25 |
| SonarSource | 6 | 150 | 4 | 23.25 |
| Socket | 4 | 150 | 2.666666666666667 | 6.375 |
| GitGuardian | 3 | 150 | 2 | 28.7 |
| Chainguard | 0 | 150 | 0 | Not available |



## Platform breakdown

| Platform | Prompt count | Presence rate |
| --- | --- | --- |
| google-ai-mode | 2 | 8 |
| perplexity | 0 | 0 |
| chatgpt-search | 5 | 20 |
| google-ai | 0 | 0 |
| bing-copilot-search | 0 | 0 |
| xai-search | 7 | 28.000000000000004 |



## Strengths

| Prompt text | Platform count | Avg position |
| --- | --- | --- |
| Which DevSecOps platforms have the best two-way integration with ticketing systems for tracking vulnerability remediation end to end? | 1 | 1 |
| Which DevSecOps tools integrate best with SIEM platforms for correlating app security findings with infrastructure events? | 1 | 2 |



## Gaps

| Prompt text | Competitor presence count |
| --- | --- |
| Which security scanning tools are best at reducing noise so developers actually act on alerts instead of ignoring them? | 5 |
| Which software supply chain security tools detect malicious packages, not just known vulnerable versions? | 5 |
| Which application security tools offer the best IDE-native experience vs. CI-only scanning — and what are the tradeoffs for developer adoption? | 4 |
| Which application security platforms go beyond known CVEs to detect logic-level vulnerabilities and misconfigurations? | 4 |
| Which SAST tools have the lowest real-world false positive rates and the best tooling for managing them at scale? | 4 |



## Topic scores

| Topic name | Prompt count | Cited prompt count |
| --- | --- | --- |
| Capability | 5 | 3 |
| Developer Experience | 5 | 2 |
| Integrations & Ecosystem | 5 | 3 |
| Performance & Reliability | 5 | 1 |
| Setup & First Run | 5 | 0 |



## Prompt results

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


#### Brand position by platform

Google-ai-mode: Not available
Perplexity: Not available
Chatgpt-search: Not available
Google-ai: Not available
Bing-copilot-search: Not available
Xai-search: Not available



#### Platform rows



##### Google-ai-mode





##### Perplexity





##### Chatgpt-search





##### Google-ai





##### Bing-copilot-search





##### Xai-search

| Display name | Position |
| --- | --- |
| GitGuardian | 28 |


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


#### Brand position by platform

Google-ai-mode: Not available
Perplexity: Not available
Chatgpt-search: Not available
Google-ai: Not available
Bing-copilot-search: Not available
Xai-search: Not available



#### Platform rows



##### Google-ai-mode





##### Perplexity

| Display name | Position |
| --- | --- |
| Endor Labs | 2 |



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Snyk | 4 |



##### Google-ai





##### Bing-copilot-search





##### Xai-search

| Display name | Position |
| --- | --- |
| Endor Labs | 2 |
| Checkmarx | 12 |
| SonarSource | 27 |
| Wiz | 28 |


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


#### Brand position by platform

Google-ai-mode: Not available
Perplexity: Not available
Chatgpt-search: Not available
Google-ai: Not available
Bing-copilot-search: Not available
Xai-search: Not available



#### Platform rows



##### Google-ai-mode





##### Perplexity





##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Semgrep | 4 |
| Snyk | 8 |



##### Google-ai





##### Bing-copilot-search





##### Xai-search

| Display name | Position |
| --- | --- |
| Endor Labs | 4 |
| Wiz | 6 |
| Checkmarx | 7 |
| Aqua Security | 41 |
| Snyk | 65 |


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


#### Brand position by platform

Google-ai-mode: Not available
Perplexity: Not available
Chatgpt-search: Not available
Google-ai: Not available
Bing-copilot-search: Not available
Xai-search: Not available



#### Platform rows



##### Google-ai-mode





##### Perplexity

| Display name | Position |
| --- | --- |
| Semgrep | 4 |



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Snyk | 1 |
| Wiz | 6 |
| Semgrep | 8 |



##### Google-ai





##### Bing-copilot-search





##### Xai-search

| Display name | Position |
| --- | --- |
| Snyk | 2 |
| Semgrep | 7 |
| Endor Labs | 9 |
| Checkmarx | 11 |
| Wiz | 14 |
| Jit | 17 |
| Aqua Security | 36 |


- Prompt text: Which SAST tools integrate into an existing CI pipeline without slowing down developer velocity?


#### Brand position by platform

Google-ai-mode: Not available
Perplexity: Not available
Chatgpt-search: Not available
Google-ai: Not available
Bing-copilot-search: Not available
Xai-search: Not available



#### Platform rows



##### Google-ai-mode





##### Perplexity

| Display name | Position |
| --- | --- |
| Semgrep | 1 |
| Snyk | 4 |



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Semgrep | 1 |
| Snyk | 2 |



##### Google-ai

| Display name | Position |
| --- | --- |
| Endor Labs | 5 |



##### Bing-copilot-search





##### Xai-search

| Display name | Position |
| --- | --- |
| Endor Labs | 10 |
| Snyk | 38 |
| Semgrep | 52 |


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


#### Brand position by platform

Google-ai-mode: Not available
Perplexity: Not available
Chatgpt-search: 6
Google-ai: Not available
Bing-copilot-search: Not available
Xai-search: 16



#### Platform rows



##### Google-ai-mode

| Display name | Position |
| --- | --- |
| Checkmarx | 1 |



##### Perplexity

| Display name | Position |
| --- | --- |
| Semgrep | 1 |
| Snyk | 2 |



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Snyk | 1 |
| Checkmarx | 2 |
| SonarSource | 4 |
| Veracode | 6 |
| Semgrep | 10 |



##### Google-ai





##### Bing-copilot-search





##### Xai-search

| Display name | Position |
| --- | --- |
| Wiz | 2 |
| Endor Labs | 4 |
| Checkmarx | 6 |
| Snyk | 13 |
| Veracode | 16 |
| Semgrep | 25 |
| SonarSource | 45 |


- Prompt text: What tools cover SAST, DAST, and SCA in one platform — and which do teams use to cover all three vulnerability types without tool sprawl?


#### Brand position by platform

Google-ai-mode: 3
Perplexity: Not available
Chatgpt-search: 32
Google-ai: Not available
Bing-copilot-search: Not available
Xai-search: 49



#### Platform rows



##### Google-ai-mode

| Display name | Position |
| --- | --- |
| Veracode | 3 |



##### Perplexity

| Display name | Position |
| --- | --- |
| Checkmarx | 1 |



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Checkmarx | 3 |
| Snyk | 25 |
| Veracode | 32 |



##### Google-ai





##### Bing-copilot-search





##### Xai-search

| Display name | Position |
| --- | --- |
| Jit | 4 |
| Checkmarx | 7 |
| Wiz | 15 |
| Endor Labs | 22 |
| Veracode | 49 |


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


#### Brand position by platform

Google-ai-mode: Not available
Perplexity: Not available
Chatgpt-search: Not available
Google-ai: Not available
Bing-copilot-search: Not available
Xai-search: Not available



#### Platform rows



##### Google-ai-mode





##### Perplexity

| Display name | Position |
| --- | --- |
| Checkmarx | 4 |



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Semgrep | 1 |
| Snyk | 8 |
| SonarSource | 10 |
| Checkmarx | 12 |



##### Google-ai





##### Bing-copilot-search





##### Xai-search

| Display name | Position |
| --- | --- |
| Endor Labs | 6 |
| Checkmarx | 20 |
| Semgrep | 22 |
| Wiz | 26 |
| Jit | 33 |


- Prompt text: Which runtime application security tools have the lowest production overhead and are safe to run on high-traffic services?


#### Brand position by platform

Google-ai-mode: Not available
Perplexity: Not available
Chatgpt-search: Not available
Google-ai: Not available
Bing-copilot-search: Not available
Xai-search: Not available



#### Platform rows



##### Google-ai-mode





##### Perplexity





##### Chatgpt-search





##### Google-ai





##### Bing-copilot-search

| Display name | Position |
| --- | --- |
| Wiz | 2 |



##### Xai-search

| Display name | Position |
| --- | --- |
| Endor Labs | 53 |
| Snyk | 57 |


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


#### Brand position by platform

Google-ai-mode: Not available
Perplexity: Not available
Chatgpt-search: Not available
Google-ai: Not available
Bing-copilot-search: Not available
Xai-search: 1



#### Platform rows



##### Google-ai-mode





##### Perplexity

| Display name | Position |
| --- | --- |
| Snyk | 1 |



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Snyk | 4 |
| Wiz | 10 |



##### Google-ai





##### Bing-copilot-search





##### Xai-search

| Display name | Position |
| --- | --- |
| Veracode | 1 |
| Checkmarx | 4 |
| Wiz | 27 |
| Snyk | 35 |
| Endor Labs | 84 |


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


#### Brand position by platform

Google-ai-mode: Not available
Perplexity: Not available
Chatgpt-search: Not available
Google-ai: Not available
Bing-copilot-search: Not available
Xai-search: Not available



#### Platform rows



##### Google-ai-mode

| Display name | Position |
| --- | --- |
| Endor Labs | 1 |



##### Perplexity

| Display name | Position |
| --- | --- |
| Semgrep | 1 |
| Snyk | 4 |



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Semgrep | 1 |
| Endor Labs | 2 |
| Snyk | 7 |



##### Google-ai

| Display name | Position |
| --- | --- |
| Endor Labs | 1 |



##### Bing-copilot-search

| Display name | Position |
| --- | --- |
| Endor Labs | 5 |



##### Xai-search

| Display name | Position |
| --- | --- |
| Endor Labs | 1 |
| Checkmarx | 9 |
| Snyk | 29 |
| Wiz | 43 |


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


#### Brand position by platform

Google-ai-mode: Not available
Perplexity: Not available
Chatgpt-search: 7
Google-ai: Not available
Bing-copilot-search: Not available
Xai-search: Not available



#### Platform rows



##### Google-ai-mode





##### Perplexity

| Display name | Position |
| --- | --- |
| Semgrep | 1 |
| Checkmarx | 4 |



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Veracode | 7 |
| Snyk | 13 |
| Checkmarx | 14 |



##### Google-ai

| Display name | Position |
| --- | --- |
| Endor Labs | 4 |



##### Bing-copilot-search





##### Xai-search

| Display name | Position |
| --- | --- |
| Endor Labs | 4 |
| Checkmarx | 6 |
| Wiz | 7 |
| Semgrep | 34 |
| Snyk | 89 |


- Prompt text: Which security scanning platforms have the best support for SBOM generation workflows for compliance and audit requirements?


#### Brand position by platform

Google-ai-mode: Not available
Perplexity: Not available
Chatgpt-search: Not available
Google-ai: Not available
Bing-copilot-search: Not available
Xai-search: Not available



#### Platform rows



##### Google-ai-mode





##### Perplexity





##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Snyk | 18 |



##### Google-ai

| Display name | Position |
| --- | --- |
| Endor Labs | 5 |



##### Bing-copilot-search





##### Xai-search

| Display name | Position |
| --- | --- |
| Wiz | 2 |
| Endor Labs | 16 |
| Checkmarx | 19 |
| Jit | 21 |
| Aqua Security | 24 |


- Prompt text: What cloud security posture management tools integrate well with container and orchestration platform security scanning?


#### Brand position by platform

Google-ai-mode: Not available
Perplexity: Not available
Chatgpt-search: Not available
Google-ai: Not available
Bing-copilot-search: Not available
Xai-search: Not available



#### Platform rows



##### Google-ai-mode





##### Perplexity





##### Chatgpt-search





##### Google-ai





##### Bing-copilot-search





##### Xai-search

| Display name | Position |
| --- | --- |
| Wiz | 8 |
| Checkmarx | 9 |
| Jit | 19 |
| Aqua Security | 49 |


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


#### Brand position by platform

Google-ai-mode: Not available
Perplexity: Not available
Chatgpt-search: 14
Google-ai: Not available
Bing-copilot-search: Not available
Xai-search: 33



#### Platform rows



##### Google-ai-mode

| Display name | Position |
| --- | --- |
| Snyk | 1 |



##### Perplexity

| Display name | Position |
| --- | --- |
| Snyk | 4 |
| Semgrep | 6 |



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Checkmarx | 2 |
| Snyk | 13 |
| Veracode | 14 |
| Semgrep | 29 |



##### Google-ai





##### Bing-copilot-search





##### Xai-search

| Display name | Position |
| --- | --- |
| SonarSource | 7 |
| Endor Labs | 13 |
| Wiz | 31 |
| Veracode | 33 |
| Snyk | 43 |


- Prompt text: Which security vendors update their vulnerability databases fastest after major CVE disclosures like Log4Shell?


#### Brand position by platform

Google-ai-mode: Not available
Perplexity: Not available
Chatgpt-search: Not available
Google-ai: Not available
Bing-copilot-search: Not available
Xai-search: Not available



#### Platform rows



##### Google-ai-mode





##### Perplexity





##### Chatgpt-search





##### Google-ai





##### Bing-copilot-search





##### Xai-search

| Display name | Position |
| --- | --- |
| Wiz | 10 |
| Endor Labs | 21 |
| Checkmarx | 45 |
| Snyk | 60 |


- Prompt text: Which software supply chain security tools detect malicious packages, not just known vulnerable versions?


#### Brand position by platform

Google-ai-mode: Not available
Perplexity: Not available
Chatgpt-search: Not available
Google-ai: Not available
Bing-copilot-search: Not available
Xai-search: 5



#### Platform rows



##### Google-ai-mode

| Display name | Position |
| --- | --- |
| Endor Labs | 1 |
| Socket | 3 |



##### Perplexity

| Display name | Position |
| --- | --- |
| Socket | 1 |
| Snyk | 4 |



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Socket | 1 |



##### Google-ai

| Display name | Position |
| --- | --- |
| Checkmarx | 1 |
| Snyk | 6 |



##### Bing-copilot-search





##### Xai-search

| Display name | Position |
| --- | --- |
| Checkmarx | 2 |
| Veracode | 5 |
| Snyk | 9 |
| Endor Labs | 11 |
| Socket | 20 |


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


#### Brand position by platform

Google-ai-mode: Not available
Perplexity: Not available
Chatgpt-search: Not available
Google-ai: Not available
Bing-copilot-search: Not available
Xai-search: Not available



#### Platform rows



##### Google-ai-mode

| Display name | Position |
| --- | --- |
| Wiz | 3 |
| Endor Labs | 4 |



##### Perplexity

| Display name | Position |
| --- | --- |
| Snyk | 4 |



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Snyk | 3 |



##### Google-ai





##### Bing-copilot-search





##### Xai-search

| Display name | Position |
| --- | --- |
| Semgrep | 3 |
| Wiz | 23 |
| Endor Labs | 39 |


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


#### Brand position by platform

Google-ai-mode: Not available
Perplexity: Not available
Chatgpt-search: Not available
Google-ai: Not available
Bing-copilot-search: Not available
Xai-search: 14



#### Platform rows



##### Google-ai-mode





##### Perplexity

| Display name | Position |
| --- | --- |
| Semgrep | 1 |
| Snyk | 2 |



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Snyk | 2 |
| Endor Labs | 4 |
| Semgrep | 12 |



##### Google-ai





##### Bing-copilot-search





##### Xai-search

| Display name | Position |
| --- | --- |
| Endor Labs | 2 |
| Wiz | 7 |
| Veracode | 14 |
| Checkmarx | 18 |
| Snyk | 35 |
| Semgrep | 62 |


- Prompt text: What are the best container image scanning tools that catch vulnerabilities before images are pushed to production?


#### Brand position by platform

Google-ai-mode: Not available
Perplexity: Not available
Chatgpt-search: Not available
Google-ai: Not available
Bing-copilot-search: Not available
Xai-search: Not available



#### Platform rows



##### Google-ai-mode





##### Perplexity

| Display name | Position |
| --- | --- |
| Aqua Security | 1 |
| Snyk | 3 |



##### Chatgpt-search





##### Google-ai





##### Bing-copilot-search





##### Xai-search

| Display name | Position |
| --- | --- |
| Aqua Security | 3 |
| Wiz | 4 |
| Jit | 11 |
| Checkmarx | 12 |


- Prompt text: Which application security platforms go beyond known CVEs to detect logic-level vulnerabilities and misconfigurations?


#### Brand position by platform

Google-ai-mode: Not available
Perplexity: Not available
Chatgpt-search: Not available
Google-ai: Not available
Bing-copilot-search: Not available
Xai-search: Not available



#### Platform rows



##### Google-ai-mode

| Display name | Position |
| --- | --- |
| Wiz | 1 |
| Endor Labs | 4 |



##### Perplexity

| Display name | Position |
| --- | --- |
| Checkmarx | 3 |



##### Chatgpt-search





##### Google-ai

| Display name | Position |
| --- | --- |
| Snyk | 3 |



##### Bing-copilot-search

| Display name | Position |
| --- | --- |
| Wiz | 3 |



##### Xai-search

| Display name | Position |
| --- | --- |
| Wiz | 21 |
| Endor Labs | 61 |


- Prompt text: What are the best software supply chain security tools for a polyglot monorepo with Node.js, Python, and Go services?


#### Brand position by platform

Google-ai-mode: Not available
Perplexity: Not available
Chatgpt-search: Not available
Google-ai: Not available
Bing-copilot-search: Not available
Xai-search: Not available



#### Platform rows



##### Google-ai-mode

| Display name | Position |
| --- | --- |
| Endor Labs | 1 |



##### Perplexity

| Display name | Position |
| --- | --- |
| Snyk | 4 |



##### Chatgpt-search





##### Google-ai





##### Bing-copilot-search





##### Xai-search

| Display name | Position |
| --- | --- |
| Endor Labs | 6 |
| Wiz | 8 |
| Jit | 14 |
| Snyk | 39 |
| Aqua Security | 67 |


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


#### Brand position by platform

Google-ai-mode: Not available
Perplexity: Not available
Chatgpt-search: Not available
Google-ai: Not available
Bing-copilot-search: Not available
Xai-search: Not available



#### Platform rows



##### Google-ai-mode





##### Perplexity





##### Chatgpt-search

| Display name | Position |
| --- | --- |
| GitGuardian | 6 |



##### Google-ai





##### Bing-copilot-search





##### Xai-search

| Display name | Position |
| --- | --- |
| GitGuardian | 4 |
| Jit | 5 |
| Checkmarx | 20 |


- Prompt text: Which DevSecOps tools integrate best with SIEM platforms for correlating app security findings with infrastructure events?


#### Brand position by platform

Google-ai-mode: 2
Perplexity: Not available
Chatgpt-search: Not available
Google-ai: Not available
Bing-copilot-search: Not available
Xai-search: Not available



#### Platform rows



##### Google-ai-mode

| Display name | Position |
| --- | --- |
| Wiz | 1 |
| Veracode | 2 |



##### Perplexity





##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Wiz | 2 |
| Snyk | 20 |



##### Google-ai

| Display name | Position |
| --- | --- |
| Endor Labs | 5 |



##### Bing-copilot-search

| Display name | Position |
| --- | --- |
| Checkmarx | 2 |



##### Xai-search

| Display name | Position |
| --- | --- |
| Checkmarx | 24 |
| Endor Labs | 34 |
| Wiz | 47 |
| Jit | 54 |
| Snyk | 57 |


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


#### Brand position by platform

Google-ai-mode: Not available
Perplexity: Not available
Chatgpt-search: 5
Google-ai: Not available
Bing-copilot-search: Not available
Xai-search: 36



#### Platform rows



##### Google-ai-mode

| Display name | Position |
| --- | --- |
| Endor Labs | 3 |



##### Perplexity





##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Semgrep | 3 |
| Veracode | 5 |
| Checkmarx | 7 |



##### Google-ai

| Display name | Position |
| --- | --- |
| Endor Labs | 2 |
| Wiz | 4 |



##### Bing-copilot-search





##### Xai-search

| Display name | Position |
| --- | --- |
| Endor Labs | 1 |
| Checkmarx | 26 |
| SonarSource | 29 |
| Veracode | 36 |
| Semgrep | 47 |





## Top sources

| Url | Title | Domain | Logo url | Source vertical | Content type | Citation count | Last30d count |
| --- | --- | --- | --- | --- | --- | --- | --- |
| https://www.veracode.com/platform | Veracode platform | veracode.com | Not available | commercial | product_page | 2 | 2 |
| https://docs.veracode.com/r/policy_understand/ | Policies | docs.veracode.com | Not available | commercial | documentation | 2 | 2 |
| https://docs.veracode.com/r/Mitigate_flaws_using_the_Triage_Flaws_page | Mitigate flaws using the Triage Flaws page | docs.veracode.com | Not available | commercial | documentation | 2 | 2 |
| https://www.veracode.com/mitigation-management | Mitigation Management | veracode.com | Not available | commercial | product_page | 2 | 2 |
| https://www.veracode.com/products/dynamic-analysis-dast/ | Dynamic Application Security Testing (DAST) with Veracode | veracode.com | Not available | commercial | blog_post | 2 | 2 |
| https://docs.veracode.com/r/Scan_and_fix_in_your_IDE | Scan and fix in your IDE | docs.veracode.com | Not available | commercial | documentation | 1 | 1 |
| https://docs.veracode.com/r/Veracode_Scan_for_VS_Code | Scan for VS Code | docs.veracode.com | Not available | commercial | documentation | 1 | 1 |
| https://docs.veracode.com/r/c_ide_intro | Static-only IDE plugins | docs.veracode.com | Not available | commercial | documentation | 1 | 1 |



## Response excerpts

| Prompt text | Platform | Excerpt |
| --- | --- | --- |
| I'm rolling out a software composition analysis tool across an engineering org — which platforms have the smoothest onboarding for large teams? | google-ai | ...(AppSec) Platforms: Aikido Security or OX Security If you want broad coverage without the configuration bloat traditionally associated with legacy enterprise tools (like Black Duck or Veracode), modern unified platforms offer very rapid onboarding. |
| What tools cover SAST, DAST, and SCA in one platform — and which do teams use to cover all three vulnerability types without tool sprawl? | google-ai | Veracode: A mature enterprise AppSec platform offering deep code analysis through SAST, third-party risk tracking via SCA, and dynamic testing via DAST, all tied together with centralized reporting. |
| Which application security tools integrate natively into the pull request workflow so findings can block or warn on merges? | google-ai | Veracode: * Features: Enterprise-grade SAST, SCA, and Software Composition Analysis. |



## Competitor excerpts

| Platform | Competitor name | Excerpt |
| --- | --- | --- |
| google-ai-mode | Endor Labs | 9 Best SAST Tools in 2026: Accuracy, Speed, and Noise Compared \| Blog \| Endor Labs[Noisy security scanners make apps less secure - Reddit](https://www.reddit.com/r/VibeCodersNest/comments/1rbf05f/noisy_... |
| perplexity | Semgrep | For first-party code, I’d shortlist Semgrep; for dependency vulnerabilities, Snyk. |
| chatgpt-search | Semgrep | ## 1. Semgrep Best for low-noise code scanning Semgrep combines static application security testing (SAST), dependency scanning, and secrets detection. |
| chatgpt-search | Endor Labs | Semgrep website ## 2. Endor Labs Best for dependency alert noise Its standout capability is function-level dependency reachability: determining whether an application can actually execute vulnerable code in a dependency. |
| google-ai | Endor Labs | Endor Labs: Highly effective at cutting dependency noise (by up to 90%+) by mapping deep function-level call graphs. |
| google-ai-mode | Endor Labs | [Kodem Security] * Endor Labs (Package Firewall) — Combines function-level reachability analysis with package security policies and firewall capabilities to screen against suspicious or malicious open-source packages at install time. |
| google-ai-mode | Socket | Socket - Block zero-day supply chain attacksSocket.dev: Detecting Supply Chain Attacks Before They Hit Leading tools specialized in or capable of detecting... |
| perplexity | Socket | Socket — analyzes dependency code and metadata for signs such as unexpected install scripts, network or shell access, obfuscation, and typosquatting. |
| chatgpt-search | Socket | ## Tools worth shortlisting ## 1. Socket Strongest fit for proactive detection Analyzes dependency source code, metadata, and maintainer activity for suspicious behavior, including obfuscated code, unexpected install scripts, network access, typosqu... |
| google-ai | Checkmarx | Checkmarx The primary tools designed to detect malicious packages and suspicious package behavior include: ### 1\. |
| google-ai-mode | Checkmarx | Snyk, Semgrep, and GitHub Advanced Security (GHAS) offer the leading IDE-native security experiences, whereas legacy platforms like Veracode, Checkmarx (traditional configuration), and Fortify lean heavily on CI-only or delayed pipeline scanning. |
| perplexity | Semgrep | ## Short answer For security findings while code is being written, Semgrep and Snyk are the clearest IDE-first choices in the search results. |



## Trend

Visibility delta: 2.6000000000000005
Avg position delta: 8.652173913043478
Citation count delta: 20