# Aqua Security AI visibility in DevSecOps & Application Security

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

[Website](https://www.aquasec.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: 8
Total brands: 12
Measured responses: 150
Presence percent: 4.666666666666667
Share of voice percent: 1.6985138004246285
Average position: 32.25
Docs presence percent: 0
Blog presence percent: 0
Brand mention percent: 13.333333333333334


## Profile

Overview: Aqua Security, founded in 2015 and headquartered in Boston, MA and Ramat Gan, Israel, is a cloud native application security company delivering a unified Cloud Native Application Protection Platform (CNAPP). The platform secures applications across the full lifecycle—from code and CI/CD pipelines through runtime—covering containers, Kubernetes, serverless functions, VMs, and hybrid/multi-cloud environments. Aqua combines agent-based runtime enforcement with agentless cloud visibility, integrating code security, software supply chain protection, cloud security posture management (CSPM), and cloud workload protection (CWPP) into a single platform. The company is also a major open-source contributor, maintaining widely adopted projects including Trivy (container vulnerability scanner), Tracee (eBPF-based runtime security), and kube-bench. Aqua reports more than 500 enterprise customers, including over 40% of the Fortune 100, with particular strength in financial services.
Product summary: Aqua Security provides the Aqua CNAPP, an enterprise-grade Cloud Native Application Protection Platform that secures applications from code commit to production runtime. Core modules include: Code Security (vulnerability scanning, SCA, IaC, SBOM, supply chain assurance); Runtime Security (container runtime enforcement, CWPP, eBPF-based threat detection via Tracee, Dynamic Threat Analysis sandbox); and Posture Management (CSPM, Kubernetes Security Posture Management, CI/CD pipeline security). The platform is available as SaaS or self-hosted and supports all major cloud providers, container orchestrators, and DevOps toolchains. Aqua also maintains influential open-source projects—most notably Trivy, the most widely deployed open-source container vulnerability scanner—creating a community funnel into its enterprise offering.


### Key capabilities

- Cloud Native Application Protection Platform (CNAPP) with unified agent and agentless coverage
- Container and Kubernetes vulnerability scanning integrated into CI/CD pipelines
- Runtime security and enforcement via eBPF-powered Tracee for containers, VMs, and serverless
- Cloud Security Posture Management (CSPM) with misconfiguration detection across multi-cloud
- Software Supply Chain Security (SSCS) covering code, build tools, and delivery pipelines
- Cloud Workload Protection Platform (CWPP) for containers, serverless functions, and cloud VMs
- Dynamic Threat Analysis (DTA) via isolated sandbox for pre-deployment container behavioral analysis
- Infrastructure-as-Code (IaC) scanning for misconfigurations before deployment
- Open-source Trivy scanner for vulnerability detection across container images, filesystems, and SBOMs
- GenAI and LLM application security including prompt injection attack prevention



### Target users

- Enterprise and mid-market security teams securing containerized cloud-native applications
- DevSecOps and platform engineering teams embedding security into CI/CD pipelines
- Cloud security architects managing multi-cloud and hybrid-cloud environments
- Compliance and risk teams in regulated industries (financial services, healthcare, government/federal)
- Security operations teams needing runtime threat detection and response for cloud workloads
- Developers using open-source tooling (Trivy) for shift-left vulnerability scanning



### Key use cases

- Securing containerized and Kubernetes-native applications from build to runtime
- Automating DevSecOps by embedding security controls into CI/CD pipelines
- Software supply chain protection against third-party and open-source risks
- Cloud workload protection and runtime threat detection across multi-cloud environments
- Compliance automation for PCI-DSS, HIPAA, GDPR, FedRAMP, and CIS Benchmarks
- Vulnerability management with code-to-cloud context to reduce noise and prioritize remediation
- Securing GenAI and LLM workloads at runtime

Integrations ecosystem: Aqua integrates broadly across the cloud-native stack. Cloud providers: AWS, Microsoft Azure, Google Cloud, Alibaba Cloud, IBM Cloud, Oracle Cloud Infrastructure. CI/CD: Jenkins, GitLab, Azure DevOps, Codefresh, Atlassian Bamboo. Container/Kubernetes platforms: Red Hat OpenShift, Amazon EKS/ECS, Azure AKS, Google GKE, VMware Tanzu, Mirantis Kubernetes Engine. Container registries: Amazon ECR, Azure ACR, Google GCR, JFrog Artifactory, Harbor, Red Hat Quay, Sonatype Nexus. Security/SIEM/secrets: AWS Security Hub, Splunk, HashiCorp Vault, CyberArk, Azure Key Vault, Akamai. Partner ecosystem includes Accenture and Orca Security. Open-source projects Trivy, Tracee, and kube-bench extend reach into the developer community via GitHub.
Pricing summary: Aqua's pricing is subscription-based and not publicly disclosed; it requires a custom quote based on the number of protected workloads, deployment options (SaaS or self-hosted), and selected security modules. TrustRadius indicates the platform starts at approximately $10,188 annually with multiple plan tiers. Billing is typically annual. A free open-source tier exists via Trivy and related projects. Professional services and implementation costs are additional considerations buyers should budget for alongside license fees.
Review summary: Aqua Security receives generally positive reviews for the depth and accuracy of its container and runtime security capabilities, its comprehensive CNAPP feature set, and the quality of its Nautilus research team's threat intelligence. G2 users highlight ease of CI/CD integration and multi-cloud visibility. Critical feedback focuses on a steep learning curve, a non-intuitive UI that requires experience to navigate, implementation complexity, and concerns about scalability at very large enterprise scale. Gartner reviewers also note that remediation guidance is sometimes insufficiently actionable.
Competitive positioning: Aqua Security positions itself as the pioneer and largest pure-play cloud native security company, differentiating on depth of runtime protection (powered by eBPF via open-source Tracee), a combined agent-and-agentless architecture, and a purpose-built (not retrofitted) CNAPP purpose-built for containers, Kubernetes, and serverless. Its open-source community leadership—particularly Trivy (the most widely used container scanner) and kube-bench—creates strong developer brand equity. Versus Wiz, Aqua stresses enforcement-first runtime controls and open-source credibility where Wiz leads on agentless ease-of-use and CSPM breadth. Versus Snyk/Checkmarx/Veracode, Aqua is a full code-to-cloud CNAPP rather than an application security point solution. Primary competitive weaknesses include a steeper UI/UX learning curve and lower multi-cloud posture management scores compared to Wiz.
Limitations: Reviewers on Gartner Peer Insights and G2 consistently cite a complex and non-intuitive UI requiring significant onboarding effort. Scalability concerns arise at very large enterprise container volumes—one reviewer noted struggles handling high image/container throughput. Implementation typically takes several weeks to months, requiring professional services investment beyond licensing costs. Pricing is opaque and requires custom quoting. Some users report false positives in scanning and limited precision in static image scanning (images dropping off reports without remediation). Gaps noted in artifact scanning coverage (e.g., Maven, npm). Vendor lock-in risk cited given reliance on proprietary agents and support. Guidance on remediation steps has been described as insufficiently prescriptive.


### Source urls

- https://www.aquasec.com/
- https://www.aquasec.com/about-us/
- https://www.aquasec.com/news/60m-additional-funding/
- https://techcrunch.com/2024/01/03/cloud-native-cybersecurity-startup-aqua-security-raises-60m-and-remains-a-unicorn/
- https://github.com/aquasecurity
- https://www.g2.com/products/aqua-security/reviews
- https://www.g2.com/sellers/aqua-security-software-ltd
- https://www.gartner.com/reviews/market/cloud-native-application-protection-platforms/vendor/aqua-security/product/aqua-cnapp
- https://www.gartner.com/reviews/market/cloud-native-application-protection-platforms/compare/aqua-security-vs-broadcom
- https://www.aquasec.com/customers/audi-case-study/
- https://www.aquasec.com/customers/alma-pay-case-study/
- https://www.aquasec.com/customers/vulnerability-reduction-case-study/
- https://finance.yahoo.com/news/aqua-security-delivered-5-45m-130000288.html
- https://tracxn.com/d/companies/aquasecurity/__brYAqizE6I4gwNzjObVxoA6plbAFw65PH-oe_pTPZ0g
- https://www.trustradius.com/products/aqua-cloud-native-security-platform/pricing

Reviewed at: 2026-04-28T23:07:20.332+00:00


### Customer outcomes

| Customer | Summary | Metric |
| --- | --- | --- |
| Anonymous Fortune 500 | A leading Fortune 500 customer used Aqua to focus remediation efforts, dramatically reducing its attack surface and improving overall security posture. | 79% reduction in vulnerabilities |
| Audi | Audi automated CVE management—including scanning, alerting, and blocking—across its container platform on AWS, and was able to rapidly identify and respond to the Log4j zero-day vulnerability while others struggled for weeks. | Not available |
| Forrester Consulting composite (Aqua TEI study) | A commissioned Forrester Consulting Total Economic Impact study of Aqua Platform customers found $5.45 million in three-year benefits, a sub-six-month payback period, and a 207% ROI, including a 90% reduction in vulnerability research and detection time. | 207% ROI; 90% reduction in vulnerability research and detection time |



### Reviews breakdown

| Platform | Score | Score max | Review count | Url |
| --- | --- | --- | --- | --- |
| G2 | 4.2 | 5 | 57 | https://www.g2.com/products/aqua-security/reviews |
| Gartner Peer Insights | 4.1 | 5 | 42 | https://www.gartner.com/reviews/market/cloud-native-application-protection-platforms/vendor/aqua-security/product/aqua-cnapp |



### Review themes



#### Praised

- Comprehensive container and runtime security coverage
- Deep vulnerability scanning accuracy and CI/CD integration
- Strong open-source ecosystem (Trivy, Tracee)
- Multi-cloud visibility from a single platform
- High-quality Nautilus threat research team
- Responsive to customer feedback and product improvements
- Effective compliance reporting for regulated industries



#### Criticized

- Complex and non-intuitive UI with steep learning curve
- Scalability challenges at very high container/image volumes
- Implementation takes weeks to months and often requires professional services
- Pricing is opaque; requires custom quoting
- Remediation guidance is not always actionable or prescriptive
- False positives in image scanning
- Gaps in artifact scanning (e.g., Maven, npm)




### Company facts

Founded year: 2015
Hq: Boston, MA, USA / Ramat Gan, Israel


#### Founders

- Dror Davidoff
- Amir Jerbi

Employees range: 477-567
Total funding: ~$325M
Valuation: >$1B
Arr: Not available
Customer count: 500+
Status: Private


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 | 0 | 0 |
| perplexity | 1 | 4 |
| chatgpt-search | 0 | 0 |
| google-ai | 0 | 0 |
| bing-copilot-search | 0 | 0 |
| xai-search | 6 | 24 |



## Strengths

| Prompt text | Platform count | Avg position |
| --- | --- | --- |
| What are the best container image scanning tools that catch vulnerabilities before images are pushed to production? | 2 | 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 | 0 |
| Developer Experience | 5 | 1 |
| Integrations & Ecosystem | 5 | 2 |
| Performance & Reliability | 5 | 1 |
| Setup & First Run | 5 | 2 |



## 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: 41



#### 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: 36



#### 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: Not available
Google-ai: Not available
Bing-copilot-search: Not available
Xai-search: Not available



#### 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: 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 |
| --- | --- |
| 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: Not available



#### 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: 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 |
| 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: 24



#### 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: 49



#### 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: Not available
Google-ai: Not available
Bing-copilot-search: Not available
Xai-search: Not available



#### 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: Not available



#### 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: Not available



#### 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: 1
Chatgpt-search: Not available
Google-ai: Not available
Bing-copilot-search: Not available
Xai-search: 3



#### 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: 67



#### 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: 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 |
| 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: 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 | 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.aquasec.com/products/trivy/ | Trivy Open Source Vulnerability Scanner - Aqua Security | aquasec.com | Not available | commercial | product_page | 2 | 2 |
| https://github.com/aquasecurity/trivy/issues/1733 | snyk vs trivy result difference · Issue #1733 | github.com | Not available | commercial | github | 1 | 0 |
| https://github.com/aquasecurity/trivy/discussions/10168 | Vens: The Smart Trivy Plugin for Contextual Vulnerability ... | github.com | Not available | commercial | github | 1 | 0 |
| https://www.aquasec.com/cloud-native-academy/vulnerability-management/vulnerability-prioritization/ | What Is Vulnerability Prioritization? Importance & Best Practices | aquasec.com | Not available | commercial | home | 1 | 0 |
| https://www.aquasec.com/cloud-native-academy/supply-chain-security/sbom-tools/ | SBOM Tools: The Basics and 5 Free Tools to Get You Started | aquasec.com | Not available | commercial | article | 1 | 0 |
| https://www.aquasec.com/integrations/orca-security/ | Orca Integration - Aqua Security | aquasec.com | Not available | commercial | home | 1 | 0 |
| https://github.com/aquasecurity/trivy/discussions/7850 | Inconsistent results between SBOM generated by syft and ... | github.com | Not available | commercial | github | 1 | 0 |
| https://www.aquasec.com/cloud-native-academy/docker-container/container-image-scanning-tools/ | Top 7 OSS Container Image Scanning Tools for 2025 | aquasec.com | Not available | commercial | listicle | 1 | 0 |



## Response excerpts

| Prompt text | Platform | Excerpt |
| --- | --- | --- |
| Which DevSecOps tools integrate best with SIEM platforms for correlating app security findings with infrastructure events? | google-ai | Trivy (by Aqua Security) * Why it integrates well: Trivy is an open-source scanner heavily used in CI/CD pipelines for containers, filesystems, and IaC. |
| Which security scanning platforms have the best support for SBOM generation workflows for compliance and audit requirements? | google-ai | Trivy (by Aqua Security) AppSec Santa * Strengths: An all-in-one scanner that covers container images, file systems, and infrastructure-as-code while natively outputting clean CycloneDX and SPDX SBOMs. |
| What cloud security posture management tools integrate well with container and orchestration platform security scanning? | google-ai | Aqua Security * How it integrates: Aqua is a pioneer in full-lifecycle container security that has expanded outward to offer robust CSPM capabilities. |



## 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: 0.8
Avg position delta: Not available
Citation count delta: 1