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Verified July 24, 2026AI Cloud Native Application Protection Platform

Aqua Security AI

Aqua Security / aquasec.com

AI-powered cloud native application protection platform (CNAPP) providing container security, Kubernetes security, serverless protection, and AI-powered threat detection across cloud native environments.

Pricing

Free

Free plan

No

Category

Developer Tools

Platforms

3

Free plan

No

API access

No

Open source

No

Platforms

3

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What is Aqua Security AI?

Aqua Security is a cloud native application protection platform (CNAPP) — providing security across the cloud native application lifecycle from code to cloud, with particular depth in container security, Kubernetes protection, and serverless security. The platform covers the cloud native attack surface that traditional endpoint security tools miss: container images scanning for vulnerabilities and malware, Kubernetes RBAC and configuration analysis, serverless function monitoring, and cloud service misconfiguration detection. Dynamic Threat Analysis (DTA) is Aqua's runtime security capability — sandboxing container images before deployment to detect malicious behaviour, zero-days, and supply chain attacks that static scanning misses. Runtime Security monitors running containers and serverless functions in real time — detecting behavioural anomalies indicating attack, enforcing least-privilege policies, and blocking malicious actions automatically. eBPF-based monitoring provides low-overhead runtime visibility — tracking all system calls, network connections, and file operations without agent overhead in containers. Software Supply Chain Security scans the build pipeline — identifying vulnerable dependencies, malicious packages, and build environment compromises from code commit through registry push to deployment. With customers including Microsoft, HPE, and Amdocs, Aqua validates across cloud hyperscalers, IT, and telecommunications for cloud native security.

cloud-securityaicnappcontainer-securitykubernetesdevsecops
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How Aqua Security AI works

Aqua Security AI runs as ml platform software built around data and image workflows. Users typically start with a prompt, upload, or connected data source, and the underlying model handles the heavy lifting before returning a result you can refine or export. It's available on web, cli, and api.

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Key Features

What makes it worth shortlisting

The capabilities that matter most for teams evaluating Aqua Security AI.

01

DTA

Container sandbox testing detecting malicious runtime behaviour before deployment — catching zero-days and supply chain attacks that static vulnerability scanning cannot identify from code analysis alone.

02

Runtime Security

eBPF-based real-time monitoring of running containers and Kubernetes workloads — detecting behavioural anomalies and blocking malicious actions with minimal performance overhead.

03

Supply Chain Security

Scanning build pipelines, dependencies, and registries from code commit through deployment — identifying vulnerable packages, malicious code, and build environment compromises across the software supply chain.

Dynamic Threat Analysis (DTA — container sandbox testing)Runtime Security (eBPF-based container and Kubernetes monitoring)Container Image Scanning (vulnerability and malware detection)Kubernetes Security (RBAC, configuration, network policy analysis)Serverless Security (Lambda and function monitoring)Software Supply Chain Security (pipeline and registry scanning)Cloud Security Posture Management (CSPM)Infrastructure-as-Code ScanningCI/CD integrationRisk-based prioritisation

Best use cases

Container and Kubernetes security
Cloud native runtime threat detection
Software supply chain security
Serverless function security
Cloud workload protection platform

Who should use it

Cloud security engineers and architects
DevSecOps and platform engineering teams
CISO offices at cloud-native companies
SREs managing Kubernetes environments
Engineering security teams at cloud-first companies

Pros

  • Microsoft, HPE, and Amdocs validate across cloud hyperscalers, IT, and telecommunications
  • Dynamic Threat Analysis sandbox testing detects malicious container behaviour that static vulnerability scanning misses
  • eBPF-based runtime monitoring provides low-overhead visibility without traditional security agent overhead
  • Software supply chain security addresses the full pipeline from code through registry to deployment

Cons

  • Enterprise-only pricing for organisations with significant container and Kubernetes workloads
  • Cloud native security requires Kubernetes and container expertise — significant DevSecOps maturity required
  • Competing with Prisma Cloud (Palo Alto), Sysdig, and Lacework (covered) for CNAPP market share

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Pricing Analysis

Is it worth the price?

Enterprise licensing. No public pricing. Annual contracts. Private company. Demo available.

Model

Enterprise

Starting price

Free

Free trial

Yes

Similar Tools

Tools like Aqua Security AI

Prisma Cloud (Palo Alto) provides the broadest CNAPP. Sysdig provides container security and runtime monitoring. Lacework (covered) provides cloud workload protection. Wiz (covered) provides cloud security posture.

Comparison

Aqua Security AI vs Wiz AI

A side-by-side look at the closest alternative in this category.

Aqua Security AI favicon

Aqua Security AI

Aqua Security

Wiz AI favicon

Wiz AI

Wiz

Overview
Rating
—
—
Category
Developer Tools
Developer Tools
Subcategory
AI Cloud Native Application Protection Platform
AI Cloud Security
Company
Aqua Security
Wiz
Status
Active
Active
Launch year
2022
2020
Tags
cloud-securityaicnappcontainer-securitykubernetesdevsecops
cloud-securityaicspmagentlessdevsecopsenterprise
Pricing
Starting price
FreeBest value
Free
Pricing model
Enterprise
Enterprise
Free plan
No
No
Free trial
✓
✕
Pricing notes

Enterprise licensing. No public pricing. Annual contracts. Private company. Demo available.

Enterprise only. Custom pricing based on cloud spend/workloads. No public pricing. Raised $1.9B; acquired by Google for $32B (pending).

Capabilities
Best for
Container and Kubernetes securityCloud native runtime threat detectionSoftware supply chain securityServerless function securityCloud workload protection platform
Cloud security posture managementAttack path risk prioritisationContainer and Kubernetes securityShift-left security in CI/CDMulti-cloud visibility
Target audience
Cloud security engineers and architectsDevSecOps and platform engineering teamsCISO offices at cloud-native companiesSREs managing Kubernetes environmentsEngineering security teams at cloud-first companies
Cloud security teamsDevSecOps engineersCISOsPlatform engineering teamsAWS/Azure/GCP users
AI type
ML Platform
AI Search
Modalities
DataImage
TextData
Technical
Model provider
Aqua
WizOpenAI
Model names
—
—
API available
✕
✕
Open source
✕
✕
Deployment
SaaSOn-premiseSelf-hosted
EnterpriseSaaS
Platforms
WebCLIAPI
Web
Integrations
KubernetesDockerAWSAzureGCPGitHubJenkinsAPI
AWSAzureGCPGitHubGitLabJiraSlackServiceNowAPI
Team collaboration
✕
✓
Trust & security
Security

SOC 2 Type II. ISO 27001. GDPR compliant. Enterprise data handling agreements.

SOC 2 Type II. ISO 27001. GDPR compliant. FedRAMP authorised. Agentless architecture means no code runs in the customer's environment.

Privacy notes

Container image and runtime telemetry data processed on Aqua cloud or customer self-hosted infrastructure. eBPF-based monitoring operates at kernel level within customer environments.

Agentless scanning means Wiz reads cloud configuration APIs — no customer code runs on Wiz infrastructure. Security scan results processed on Wiz's SaaS infrastructure. Enterprise data handling agreements available.

Verdict
Pros
  • Microsoft, HPE, and Amdocs validate across cloud hyperscalers, IT, and telecommunications
  • Dynamic Threat Analysis sandbox testing detects malicious container behaviour that static vulnerability scanning misses
  • eBPF-based runtime monitoring provides low-overhead visibility without traditional security agent overhead
  • Software supply chain security addresses the full pipeline from code through registry to deployment
  • Attack path contextualisation dramatically reduces alert volume by identifying actually exploitable risks
  • Agentless deployment provides full cloud visibility without agent deployment overhead
  • 40%+ Fortune 100 adoption provides exceptional enterprise validation
  • $32B Google acquisition announced — significant financial and strategic backing
Cons
  • Enterprise-only pricing for organisations with significant container and Kubernetes workloads
  • Cloud native security requires Kubernetes and container expertise — significant DevSecOps maturity required
  • Competing with Prisma Cloud (Palo Alto), Sysdig, and Lacework (covered) for CNAPP market share
  • Enterprise-only pricing with no public pricing transparency
  • Google acquisition pending — product direction post-acquisition creates uncertainty
  • Full value requires comprehensive cloud environment integration across all providers
Details

Technical & deployment info

Key facts about model providers, platforms, and team support.

Model Provider

Aqua

Platforms

Web, CLI, API

Deployment

SaaS, On-premise, Self-hosted

Integrations

Kubernetes, Docker, AWS, Azure, GCP, GitHub, Jenkins, API

Team Collaboration

No

Launch Year

2022

Trust

Security & privacy

Compliance signals and data-handling notes as reported by the vendor.

SOC 2 Type II. ISO 27001. GDPR compliant. Enterprise data handling agreements.

Container image and runtime telemetry data processed on Aqua cloud or customer self-hosted infrastructure. eBPF-based monitoring operates at kernel level within customer environments.

Reviews

What users are saying

Verified reviews from signed-in users, stored in the backend and averaged into this tool's rating.

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FAQ

Common questions about Aqua Security AI

Demo available. Enterprise pricing — contact Aqua's team.

Editorial Verdict

Should you use Aqua Security AI?

Aqua Security is the best AI CNAPP for cloud native engineering teams wanting deep container security, Kubernetes protection, runtime threat detection, and software supply chain security.

Last verified July 24, 2026.

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