9 Top AI Cloud Security Solutions for Guarding Sensitive Data

As organizations accelerate cloud adoption and deploy generative AI at scale, data security has become the defining challenge of modern cloud security. Sensitive data now lives across object storage, data warehouses, SaaS platforms and AI pipelines, often outside the visibility of traditional security tools.

This shift has driven growing interest in the top AI cloud security solutions, with emphasis on platforms that focus on Data Security Posture Management (DSPM). Rather than securing infrastructure alone, these solutions use AI to discover sensitive data, assess exposure and help security teams prioritize what matters most.

To assist with AI security adoption, this article reviews leading AI-driven cloud security platforms with a strong DSPM orientation and explains how they fit into a broader data-centric security strategy. For guidance on securing AI systems themselves, read our post on AI security best practices.

What to look for in top AI cloud security solutions

AI cloud security solutions vary widely in scope and maturity. The most effective platforms share several core characteristics.

Key AI cloud security capabilities

• Continuous discovery of sensitive data across cloud services
• AI-assisted data classification that scales without heavy manual tuning
• Context-aware risk scoring that considers access, permissions and exposure
• Support for hybrid and multi-cloud environments
• Integration with broader data security and policy enforcement controls

AI is typically applied to pattern recognition, correlation and prioritization. It helps security teams understand where sensitive data exists and which exposures represent real risk, not just theoretical misconfigurations.

Top AI cloud security solutions to evaluate

The following platforms are commonly associated with AI-driven cloud data security and DSPM use cases. Inclusion does not imply ranking.

1- Cyera

Cyera is a cloud-native DSPM platform focused on discovering and classifying sensitive data across cloud data stores. It uses machine learning to contextualize data exposure risk based on sensitivity, access and location.

2- Google Cloud Security Command Center

Google Cloud Security Command Center provides native data and AI risk visibility for Google Cloud environments. It applies AI-assisted analytics to identify sensitive data exposure and risky configurations within GCP services.

3- Microsoft Purview and Defender for Cloud

Microsoft combines data classification through Purview with cloud security posture management in Defender for Cloud. AI is used to surface risky data exposure patterns and correlate them with security findings across Azure and multi-cloud environments.

4- Palo Alto Networks Prisma Cloud

Prisma Cloud is a cloud-native application protection platform that includes DSPM capabilities. It uses AI-driven correlation to prioritize data risks based on identity, network access and workload context.

5- Security.ai

Security.ai is a DSPM-focused vendor emphasizing automated discovery and classification of cloud data. AI serves to reduce false positives and highlight high-impact data exposure scenarios.

6- Sentra

Sentra is a cloud data security platform designed specifically around DSPM use cases. It applies AI-driven classification and contextual analysis to identify overexposed and stale sensitive data in cloud environments.

7- Varonis

Varonis extends its established data security analytics into the cloud. The platform uses behavioral analytics and machine learning to detect abnormal access patterns involving sensitive data.

8- Wiz

Wiz connects data exposure to broader cloud risk by mapping sensitive data to attack paths. Graph analysis and AI-driven prioritization help identify exploitable data security issues.

9- Forcepoint Data Security Cloud

Forcepoint Data Security Cloud is a unified data security platform that incorporates DSPM alongside Data Loss Prevention, user activity monitoring and policy enforcement across cloud and hybrid environments. AI is used to improve data discovery, classification and risk prioritization while enabling consistent protection as data moves between users, applications and AI systems.

How DSPM fits into a broader AI cloud security strategy

DSPM is a critical foundation for cloud data security, but it is not sufficient on its own. Discovering sensitive data and identifying exposure is only the first step. Organizations must also control how data is accessed, shared and used across users, applications and AI systems.

Effective AI cloud security strategies connect data posture insights with enforcement, governance and behavioral monitoring. This is where integrated data security platforms provide greater long-term value than standalone tools.

The Forcepoint approach to AI-driven cloud data security

Forcepoint Data Security Cloud

Forcepoint Data Security Cloud provides a unified approach to protecting sensitive data across cloud, hybrid and enterprise environments. Rather than treating DSPM as an isolated capability, the platform integrates data discovery, risk assessment and policy enforcement across the full data lifecycle.

Forcepoint DSPM

Forcepoint DSPM delivers continuous visibility into where sensitive data resides and how it is exposed across cloud environments. It serves as the posture management foundation within Forcepoint Data Security Cloud, enabling informed risk reduction decisions.

Forcepoint AI Mesh

The “special sauce” powering AI data classification for Forcepoint is the AI Mesh, an architectural layer that connects AI-driven intelligence across data security controls. It enables consistent classification, risk analysis and policy decisions across products, helping organizations move beyond isolated AI features toward coordinated data protection.

Choosing the right AI cloud security solution

When evaluating AI cloud security solutions, organizations should consider:

• Whether the platform is data-centric rather than infrastructure-only
• Its ability to operate consistently across hybrid and multi-cloud environments
• Transparency into how AI influences risk prioritization
• Integration with enforcement and governance capabilities

Building on a firm AI cloud security foundation

The top AI cloud security solutions are defined by how effectively they protect sensitive data in the cloud. DSPM plays a central role by providing visibility and prioritization, but lasting protection requires integrating posture insights with real controls.

Forcepoint Data Security Cloud, powered by AI Mesh, delivers an integrated approach to AI-driven data security that helps organizations reduce risk, enforce policy and protect sensitive data wherever it lives.