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.
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.
Watch Aqua Security AI in action
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What makes it worth shortlisting
The capabilities that matter most for teams evaluating Aqua Security AI.
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.
Runtime Security
eBPF-based real-time monitoring of running containers and Kubernetes workloads — detecting behavioural anomalies and blocking malicious actions with minimal performance overhead.
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.
Best use cases
Who should use it
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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Is it worth the price?
Enterprise licensing. No public pricing. Annual contracts. Private company. Demo available.
Model
Enterprise
Starting price
Free
Free trial
Yes
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.
Aqua Security AI vs Hugging Face
A side-by-side look at the closest alternative in this category.
Aqua Security AI
Aqua Security
Hugging Face
Hugging Face
Enterprise licensing. No public pricing. Annual contracts. Private company. Demo available.
Free for most models and Spaces. Pro $9/month for private models, priority inference, and ZeroGPU. Enterprise Hub from $20/user/month for team collaboration and security.
SOC 2 Type II. ISO 27001. GDPR compliant. Enterprise data handling agreements.
Enterprise Hub includes SSO, access controls, audit logs, and private infrastructure. SOC 2 compliant.
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.
Public models and datasets are openly accessible. Enterprise Hub provides private model storage with data handling agreements. Review individual model licences before commercial deployment.
- 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
- De facto standard hub for open source AI models with 500,000+ available
- Transformers library provides consistent API for diverse model families
- Spaces enable easy demo deployment without web infrastructure
- Free for public models and strong community support
- 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
- Technical platform primarily for developers and researchers
- Inference API quality varies for very large or complex models
- Navigation complexity increases with scale of the platform
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
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.
What users are saying
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Common questions about Aqua Security AI
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.