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AI security posture management is decided by whether your posture is a map of the possible or a record of the actual. Scanning cloud infrastructure for misconfigurations and attack paths tells you what an agent could do if a chain of conditions lined up. Observing the interaction tells you what the agent did. Both are useful, but they answer different questions, and for agent posture the one that matters is the second. When an agent invokes a tool and moves data, you want the record of the call, not an inference drawn from how the cloud around it was configured.
TrustLens is NeuralTrust's posture management and observability layer. It identifies every agent in the enterprise and tracks how each one behaves, because it is integrated directly in the interaction path, where every LLM, MCP, and tool call flows through NeuralTrust's own gateway and into TrustLens. Wiz approaches AI from cloud security. Its AI-SPM is part of its cloud-native application protection platform, discovering AI services in your cloud agentlessly and mapping their misconfigurations, exposure, and attack paths through the Wiz Security Graph. Both are enterprise-ready, so this comparison focuses on what actually separates them for AI-SPM: whether posture is observed behavior or declared configuration, whether the platform sits on the call or scans the cloud around it, and how far its view of real agent activity reaches.
TL;DR
- NeuralTrust posture is observed behavior. TrustLens records what agents actually did because it sits on the call. Wiz AI-SPM maps misconfigurations, exposure, and attack paths, which describe what the cloud around an agent is configured to allow.
- NeuralTrust is integrated directly in the interaction path. Wiz is agentless cloud scanning, connecting to your cloud accounts through APIs.
- NeuralTrust is built on a native AI gateway and captures every agent's real tool-call execution. Wiz has no gateway and builds an AI-BOM and attack-path view, not the actual call.
- NeuralTrust runs in your private environment or the cloud, and both platforms are enterprise-ready, so that is parity.
NeuralTrust vs Wiz: AI-SPM at a Glance
| Capability | NeuralTrust | Wiz AI-SPM |
|---|---|---|
| Enterprise readiness | ✅ | ✅ |
| Native AI gateway integration | ✅ | ❌ |
| Flexible deployment (private, cloud) | ✅ | ❌ |
| Directly integrated in the interaction path | ✅ | ❌ |
| Observed behavior, not declared configuration | ✅ | ❌ |
| Coverage of every agent's real tool-call execution | ✅ | ❌ |
NeuralTrust vs. Wiz: Platform Overview
What is NeuralTrust TrustLens?
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TrustLens is NeuralTrust's AI posture management and observability layer. It identifies every agent across the enterprise and tracks how each one behaves, building posture from what agents actually do rather than from how the infrastructure around them is configured.
TrustLens has that vantage point because it is integrated directly in the interaction path. Agent traffic flows through TrustGate, NeuralTrust's own AI gateway and the single point every LLM, MCP, and tool call passes through, and that call feeds TrustLens with trace-level detail on every execution. TrustLens records the actual inputs, outputs, and system calls, maps them to frameworks like OWASP, MITRE, and ISO, and makes the whole history searchable. Posture here is the record of behavior, the calls agents actually made, not a projection of what a misconfiguration might permit.
And because TrustLens sits on the same platform as NeuralTrust's runtime security enforcement, what it observes can be acted on in the same path, so posture leads to prevention rather than to a finding. It runs in your private environment or in the cloud, and it carries the enterprise readiness production security demands.
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What is Wiz AI-SPM?
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Wiz is a cloud security platform, and its AI-SPM is part of that cloud-native application protection platform. It connects to your cloud accounts agentlessly through API connectors and discovers the AI services, models, pipelines, and SDKs running there, building an AI Bill of Materials and surfacing MCP usage across the environment.
Its work is cloud posture. It enforces configuration baselines and detects misconfigurations in AI services like OpenAI and Amazon Bedrock, extends data posture management to find sensitive training data, and uses the Wiz Security Graph to trace attack paths, showing how a breach could move from an exposed endpoint to a sensitive dataset before it matures into an incident. Wiz also runs cloud-workload runtime detection through a sensor and monitors workloads for anomalies. But its AI-SPM core is agentless analysis of the cloud infrastructure around AI: what is configured, what is exposed, and what attack paths exist. It answers whether your AI cloud environment is misconfigured and reachable, which is a different question from what an agent actually did when it ran.
Native AI Gateway Integration: On the Traffic vs Scanning the Cloud
Posture is built from a vantage point, and Wiz's is the cloud control plane, reached agentlessly. That is powerful for infrastructure risk, but it is not the traffic the agent generates.
TrustLens is built on TrustGate, NeuralTrust's own AI gateway, which brokers every LLM, MCP, and tool call. The gateway carries the traffic, so the call it brokers is the call TrustLens sees, and posture is built from that live interaction.
Wiz has no gateway. It connects to your cloud accounts through APIs and scans the resources, configurations, and relationships it finds there. That gives broad cloud visibility, but it observes the environment around the agent rather than the calls the agent makes, because there is no gateway carrying that traffic for it to see. Scanning the cloud an agent runs in is not the same as sitting on the calls it makes. TrustLens sits on the calls.
Flexible Deployment: Private and Cloud vs Cloud-Delivered SaaS
Where a posture platform runs decides which environments it can cover and where your agent data goes. Some organizations need posture and observability running inside their own environment, not only as a service connected to their cloud accounts.
TrustLens runs in your private environment or in the cloud, so posture and behavior tracking can live inside your perimeter, with agent traffic and its telemetry staying where you need them.
Wiz is a cloud-delivered platform that connects to your cloud accounts through API connectors and scans them from its service. That model gives fast, broad cloud coverage, but it operates as an outside service reaching into your cloud rather than posture deployed and running inside your own environment. For organizations that want their agent observability and posture running privately, in their own infrastructure, a cloud-delivered scanner is not the same thing. TrustLens gives you the private option.
Directly Integrated in the Interaction Path: On the Call vs Agentless Cloud Scanning
The difference between sitting on the call and scanning the cloud around it is the difference between the interaction and the infrastructure. Posture on the call does not have to infer behavior from configuration.
TrustLens is integrated directly in the interaction path. Traffic runs through NeuralTrust's gateway and into TrustLens, so the observation is firsthand: the actual call, the actual payload, the actual response, captured as it happens.
Wiz is agentless, connecting through cloud APIs to scan services, configurations, and their relationships in the Security Graph. That reaches the cloud resources an agent depends on, but it does not sit on the agent's calls, so its picture is the infrastructure and its misconfigurations rather than the live interaction. Even the runtime detection Wiz runs is at the cloud-workload level, watching workloads for anomalies, not observing the agent's LLM, MCP, and tool calls on the path. Scanning the cloud is not being on the call. TrustLens is on the call.
Observed Behavior, Not Declared Configuration: What Agents Did vs What the Cloud Is Configured to Allow
This is the heart of AI-SPM. A misconfiguration and an attack path describe what could happen if conditions align. Observed behavior describes what did happen. The gap between the two is where agent risk actually lives, in the tool an agent invoked and the data it moved, which no configuration rule predicted.
TrustLens builds posture from observed behavior. Because it sits on the call, it reports posture on what agents actually did: which tools they invoked, which data they touched, which services they reached, captured as the real interaction and mapped to the frameworks that matter. Posture is the record of behavior, not a projection from settings.
Wiz builds posture from declared configuration. Its AI-SPM detects misconfigurations, enforces baselines, and maps attack paths that show how a breach could move through the cloud around an agent, which describes what the environment is configured to allow and where it is exposed. Wiz adds cloud-workload anomaly detection, but its AI-SPM core is the configuration and attack-path layer, and an attack path is by definition a map of the possible, surfaced before anything happens. Configuration tells you what an agent is permitted to do. Observed behavior tells you what it did. For agent posture, the record is what counts, and TrustLens reports the record.
Coverage of Every Agent's Real Tool-Call Execution: The Call vs the AI-BOM and Attack Path
An agent's risk shows up in its tool-call execution, the moment it reaches data and acts. Posture that captures that execution for every agent sees the real surface. Posture built from inventory and attack paths sees the map of it.
TrustLens covers every agent's real tool-call execution because every LLM, MCP, and tool call flows through the gateway it observes. Whether an agent is a cloud-hosted service or a custom build, the actual execution passes through the path TrustLens watches, so its calls, inputs, and outputs are captured the same way for all of them, firsthand.
Wiz covers agents through an AI-BOM, MCP discovery, and attack-path analysis. It inventories the agents and MCP usage it finds in your cloud and maps the misconfigurations and reachable paths around them, which tells you what exists and how it could be reached, but not the actual tool call an agent made, with its real inputs and outputs. Knowing an agent exists in your cloud and mapping the paths to it is not the same as capturing what it did when it ran. TrustLens captures the call, because the call passes through it.
Final Verdict
AI-SPM comes down to whether posture is observed behavior or declared configuration, and that follows from where the platform sits. A platform on the call reports what agents did. An agentless cloud scanner reports what the infrastructure around them is configured to allow and where it is exposed.
TrustLens is integrated directly in the path on NeuralTrust's own gateway. It builds posture from observed behavior, captures every agent's real tool-call execution firsthand, runs in your private environment or the cloud, and because it shares a platform with NeuralTrust's runtime security enforcement, what it observes can be acted on in the same path. For agent posture, it reports the record of what happened rather than a map of what might.
Wiz AI-SPM is a strong cloud posture platform for the infrastructure layer. It discovers AI in your cloud, enforces configuration baselines, and maps attack paths through the Security Graph, all agentlessly. But that is the cloud around the agent, not the agent's calls: it has no gateway, it is not on the interaction path, its posture is configuration and attack paths rather than observed behavior, and its coverage of an agent is an inventory and a map rather than the real tool-call execution.
Both clear the enterprise bar, so that is not the deciding factor. The decision is whether you want agent posture built on what agents actually did, from a platform on the call and running in your own environment, or cloud posture built on misconfigurations and attack paths, from an agentless scanner connected to your cloud. If you want to know what your agents did because you were on the call, NeuralTrust is built for exactly that.
Frequently Asked Questions about NeuralTrust vs. Wiz
1. What is the main difference between NeuralTrust and Wiz for AI-SPM?
NeuralTrust TrustLens is integrated directly on the interaction path and builds posture from observed behavior, what agents actually did. Wiz AI-SPM is an agentless cloud posture platform that discovers AI in your cloud and maps misconfigurations, exposure, and attack paths, which describe what the infrastructure around an agent is configured to allow. One reports the record of behavior, the other maps cloud risk.
2. Does Wiz observe live agent behavior?
Wiz runs cloud-workload runtime detection and monitors workloads for anomalies, but its AI-SPM core is agentless analysis of cloud configuration, exposure, and attack paths, and it does not sit on the agent's LLM, MCP, and tool calls. NeuralTrust observes those calls firsthand because it sits on the interaction path through its gateway.
3. Does Wiz have its own AI gateway?
No. Wiz connects to your cloud accounts through APIs and scans them agentlessly, so there is no gateway carrying agent traffic for it to observe. NeuralTrust is built on TrustGate, its own AI gateway, which brokers every LLM, MCP, and tool call and is both the enforcement point and the source of truth for posture.
4. Is attack-path analysis the same as observed behavior?
No. An attack path is a map of how a breach could move through the cloud if conditions align, surfaced before anything happens. It is valuable for infrastructure risk, but it describes the possible, not the actual. NeuralTrust builds posture from the calls agents actually made, so it reports what happened rather than what a configuration might permit.
5. Are both platforms enterprise-ready and can both run privately?
Both are enterprise-ready, so that is a point of parity. On deployment, NeuralTrust runs in your private environment or the cloud, keeping agent traffic and telemetry in your perimeter, while Wiz is a cloud-delivered platform that connects to your cloud accounts through APIs. The meaningful differences are observed behavior versus declared configuration, direct in-path integration versus agentless cloud scanning, a native AI gateway, and coverage of every agent's real tool-call execution.
About the Author
Alessandro Pignati is Lead AI Security Researcher at NeuralTrust, where he leads research on AI and agentic security, advancing techniques to evaluate and secure large language models and autonomous AI systems. He specializes in adversarial machine learning, AI red teaming, LLM security, and AI safety, contributing to the development of secure and trustworthy AI.
NeuralTrust is an AI agent security platform, recognized in the Gartner 2025 Market Guide for AI Gateways and Guardian Agents, and the KuppingerCole 2025 Leadership Compass for Generative AI Defense. Headquartered in Barcelona with ISO 27001 certification.