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AI workload security in CNAPPs: what nine vendors say they cover

Cloud Security Compare editors · · Editorial assessment

The short version

All nine platforms we compare now describe some form of AI security, but they mean different things by it. Wiz and Orca Security tie for the most complete AI workload coverage on our matrix, Upwind and Palo Alto Networks Cortex Cloud follow, and Microsoft Defender for Cloud bills AI threat protection per 1,000 tokens. Sysdig's AI work centers on helping analysts rather than on posture for AI workloads.

What does AI workload security mean in a CNAPP?

In our matrix the AI criterion carries a 12% weight and covers two things. The first is posture: an inventory of models, AI services, pipelines, agents and MCP servers, with their misconfigurations and exposure. The second is runtime detection of threats specific to AI, such as prompt injection. A vendor using AI to help its own analysts is a separate question. That can be useful, but it does not secure your AI workloads, and we do not score it under this criterion.

What each vendor lists for AI workload security, from its own pages, reviewed September 2026. Scores are our editorial assessment, 0 to 5.
VendorAI scoreWhat the vendor lists
Wiz4.6Agentless AI-BOM across SageMaker, OpenAI, Bedrock and Vertex AI; AI attack paths; runtime detection of prompt injection and rogue agents
Orca Security4.6AI-SPM inventory of models, pipelines, training datasets and AI packages; shadow AI discovery; MCP server monitoring; AI AppGen Security
Upwind4.4AI inventory, AI-BOM, AI-SPM, AI sensor, AI detection and response, offensive testing of models, agents and MCP servers
Cortex Cloud4.2AI-SPM mapping models, datasets and agents; model poisoning and supply chain risk; classification of data used for RAG
Microsoft Defender for Cloud4.0AI-SPM in Defender CSPM; Defender for AI Services, billed per 1,000 tokens
CrowdStrike3.9AI-SPM for AI infrastructure from code to cloud
SentinelOne3.9AI-SPM for AI models, services and data pipelines
Aqua Security3.7GenAI application security from code to runtime; detection of unsanctioned AI usage
Sysdig3.5Sysdig Sage GenAI assistant for triage; AI workload posture less developed on the pages we reviewed

What do the two leaders cover?

Wiz and Orca Security tie at 4.6. Wiz describes an agentless AI-BOM across SageMaker, OpenAI, Bedrock and Vertex AI, AI attack paths through its Security Graph, and runtime detection of prompt injection and rogue agents. Orca describes an AI-SPM inventory of models, pipelines, training datasets and AI packages, shadow AI discovery, MCP server monitoring and prompt-level risk analysis. On 29 July 2026 Orca also announced AI AppGen Security, which looks for applications built on AI app builders outside standard pipelines; Orca expects general availability later in 2026.

The difference is emphasis. Wiz leads with runtime detection of AI threats and with attack paths that include AI resources. Orca leads with discovery of AI the security team did not know about, including apps built outside engineering. Which matters more depends on whether your AI risk sits in production models or in teams building their own tools. The full matchup is on Wiz vs Orca.

How do Upwind and Cortex Cloud compare?

Upwind (4.4) lists the broadest set of AI modules after the two leaders: AI inventory, AI-BOM, AI-SPM, an AI sensor, AI detection and response, and offensive testing for models, agents and MCP servers. Palo Alto Networks Cortex Cloud (4.2) describes AI-SPM that maps models, datasets and agents, flags model poisoning and supply chain risk, and classifies data used for retrieval-augmented generation.

What do the platform and endpoint vendors offer?

Microsoft Defender for Cloud (4.0) includes AI-SPM in the paid Defender CSPM plan and sells Defender for AI Services, billed per 1,000 tokens. In 2026 it added threat protection for AI agents (preview, 2 February) and AI model security for Azure Machine Learning (preview, 30 March). CrowdStrike Falcon Cloud Security and SentinelOne Singularity Cloud both score 3.9 and both list AI-SPM: CrowdStrike for AI infrastructure from code to cloud, SentinelOne for AI models, services and data pipelines.

Where do Aqua and Sysdig stand?

Aqua Security (3.7) describes GenAI application security from code to runtime and detection of unsanctioned AI usage. Sysdig Secure (3.5) offers Sysdig Sage, a GenAI assistant for triage, and in 2026 launched Headless Cloud Security for AI coding agents and Sysdig Secure AI. On the pages we reviewed, its posture coverage for AI workloads is less developed than at the leaders. Both vendors are stronger on runtime protection, where Sysdig scores 4.8 and Aqua 4.5: see Sysdig vs Aqua.

What should you ask in an evaluation?

  • Which AI services and model providers does the inventory cover? Compare the list with the services you actually run.
  • Does it find AI nobody registered: shadow AI, AI packages in code, apps built on AI app builders?
  • Does it see MCP servers and agents, and what does it check about them?
  • Is runtime detection of prompt injection or rogue agents generally available, and which plan includes it?
  • How is it billed? Defender for AI Services is billed per 1,000 tokens; the other vendors quote AI features through sales.

Sources

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