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AI security posture management is decided by whether your posture reflects what an agent did or what it is permitted to do. An OAuth scope, a permission set, a configuration all describe what an agent is allowed to reach. They do not tell you which tool it actually called, which record it actually pulled, which action it actually took. Those two pictures diverge exactly where risk lives, and only one of them is the record of what happened. If an agent moved a set of customer records, you want to know because you saw the call, not because its permissions made the move possible.
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 gateway and into TrustLens. Reco approaches AI from SaaS security posture management. It is an agentless platform that connects to your SaaS stack through APIs and other sources to discover agents and apps, map their permissions and OAuth scopes, and govern their configuration, and it describes itself as covering what gateways miss. Both are enterprise-ready, so this comparison focuses on what actually separates them for AI-SPM: whether posture is observed or built from configuration and permissions, whether the platform is in the path or agentless, and where it runs.
TL;DR
- NeuralTrust posture reflects observed behavior. TrustLens builds posture from the live interaction because it sits in the path. Reco builds posture from configuration, permissions, and OAuth scopes, with behavioral signals derived from SaaS platform APIs.
- NeuralTrust is integrated directly in the path. Every LLM, MCP, and tool call flows through its gateway. Reco is agentless, connecting through APIs, IDP, CASB, browser, and network sources, and it positions itself as covering what gateways miss.
- NeuralTrust is built on a native AI gateway. Reco has none.
- NeuralTrust runs in your private environment or the cloud, and both platforms are enterprise-ready, so that is parity.
NeuralTrust vs Reco: AI-SPM at a Glance
| Capability | NeuralTrust | Reco |
|---|---|---|
| Enterprise readiness | ✅ | ✅ |
| Native AI gateway integration | ✅ | ❌ |
| Flexible deployment (private, cloud) | ✅ | ❌ |
| Directly integrated in the interaction path | ✅ | ❌ |
| Observed behavior, not configuration and OAuth posture | ✅ | ❌ |
| Coverage of every agent's real tool-call execution | ✅ | ❌ |
NeuralTrust vs. Reco: 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 what they are permitted to do.
TrustLens has that vantage point because it is integrated directly in the interaction path. Agent traffic flows through TrustGate, NeuralTrust's 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. So when an agent invokes a tool, reads data, or reaches an external service, 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 live record of behavior, not an inference from permissions and settings.
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 that production security demands.
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What is Reco?
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Reco is a SaaS security posture management platform extended to AI. It connects agentlessly to your SaaS stack through APIs and other sources, and it discovers agents and apps across API, IDP, CASB, browser, and network signals, cataloging shadow AI and mapping each agent to its users, roles, permissions, and OAuth scopes.
Its foundation is SSPM. It scores configuration issues, flags misconfigurations and compliance drift, governs identity and access, and manages data exposure across the SaaS estate, then extends the same model to AI agents by inventorying them and mapping what they are permitted to reach. It adds behavioral signals drawn from the SaaS platforms it connects to, noticing when an agent's access pattern through a platform's API looks unusual, and it can respond by revoking OAuth permissions, disabling integrations, or triggering SIEM and SOAR workflows. It serves Fortune 500 customers and integrates with security operations tooling, so it meets the enterprise bar. But Reco itself describes its approach as covering what gateways miss, which is the point: it discovers and governs from around the agent, through connectors and platform APIs, rather than from the interaction the agent actually runs.
Native AI Gateway Integration: In the Path vs Covering What Gateways Miss
Posture is built from a vantage point, and Reco names its own. It positions itself as covering what gateways miss, which is an honest description of a platform that sits beside the agent rather than on its traffic. The question for AI-SPM is whether you want the breadth of connectors around the agent, the interaction itself, or both.
TrustLens is built on TrustGate, NeuralTrust's AI gateway, which brokers every LLM, MCP, and tool call. That gateway is the point the traffic passes through, and it feeds TrustLens the actual requests and responses, so posture, discovery, and behavior tracking all draw from the live interaction.
Reco has no gateway. It discovers agents from API, IDP, CASB, browser, and network sources and governs them agentlessly, and it frames that multi-source reach as covering what gateways miss. Broad discovery around the agent is useful, but by its own framing it is not on the agent's calls. Covering what a gateway misses is not the same as having the gateway that sees the call in the first place. TrustLens has the gateway, so it has the call, and it pairs that with discovery rather than choosing one over the other.
Flexible Deployment: Private and Cloud vs SaaS via API
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 that connects in through APIs.
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.
Reco is a SaaS platform that connects to your stack through APIs. That model is quick to stand up across many applications, but it operates as an outside service reaching into your environment rather than posture deployed and running inside it. For organizations that want their agent observability and posture running privately, in their own infrastructure, an API-connected SaaS service is not the same thing. TrustLens gives you the private option.
Directly Integrated in the Interaction Path: On the Call vs Agentless Connectors
The difference between sitting on the call and connecting through APIs is the difference between the interaction and the account of it. Posture built on the call does not have to reconstruct behavior from what a platform reports.
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. Nothing depends on a connector reaching the right platform or a platform surfacing the right detail.
Reco is agentless, connecting through APIs, IDP, CASB, browser, and network sources. That breadth is effective for discovering agents and mapping their permissions across a large SaaS estate, but it observes the agent from the platforms around it rather than from the traffic it generates. Its view of an agent is bounded by what those connectors return, at the granularity each platform exposes. Connecting to the platforms an agent touches is not the same as sitting on the calls it makes. TrustLens sits on the calls.
Observed Behavior, Not Configuration and OAuth Posture: What Agents Do vs What They Are Permitted To
This is the heart of AI-SPM. A permission set and an OAuth scope say what an agent is allowed to reach. Observed behavior says what it did. The gap between the two is exactly where risk hides: the scope that was broader than anyone realized, the access an agent used in a way its configuration never predicted.
TrustLens builds posture from observed behavior. Because it sits in the path, it reports posture on what agents actually did: which tools they called, which data they touched, which services they reached, captured as the real interaction. When an agent accesses a resource, TrustLens knows because it saw the call, and posture reflects that live record rather than the permissions that made it possible.
Reco builds posture from configuration and permissions. Its SSPM core scores misconfigurations, governs identity and access, and maps each agent's OAuth scopes and what it is allowed to reach, which describes the permitted state. Reco does add behavioral signals, noticing when an agent's access pattern through a SaaS platform's API looks unusual, but those signals are derived from what the platform reports rather than from the call itself, and the posture is anchored in configuration and OAuth. What an agent is permitted to do is a plan. What it did is the record. TrustLens reports the record.
Coverage of Every Agent's Real Tool-Call Execution: The Live Call vs OAuth Scopes and Access Patterns
An agent's risk shows up in the 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 scopes and access patterns sees the permissions and a shadow of the activity.
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 packaged SaaS assistant or a custom internal 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.
Reco's coverage of an agent's execution comes from OAuth scopes, permission maps, SaaS-to-SaaS connections, and access-pattern signals pulled from platform APIs. That tells you what an agent can reach and flags when its usage looks abnormal through a platform's lens, but it is not the same as capturing the actual tool call, with its real inputs and outputs, at the point of execution. Knowing an agent's scopes and noticing an unusual access rate is not knowing exactly what it asked a tool to do. TrustLens captures exactly that, because the call passes through it.
Final Verdict
AI-SPM comes down to whether posture reflects observed behavior or permitted configuration, and that depends on how the platform is integrated. A platform in the interaction path reports what agents did. An agentless platform that connects through APIs reports what agents are configured and permitted to do, with behavioral signals inferred from what the platforms expose.
TrustLens is integrated directly in the path. It builds posture from observed behavior, tracks how every agent actually acts because all agent traffic flows through NeuralTrust's gateway and into TrustLens, covers every agent's real tool-call execution firsthand, and 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, so posture leads to prevention rather than to a report.
Reco is a SaaS security posture management platform extended to AI, agentless and connected through APIs and other sources. It discovers agents broadly, maps their permissions and OAuth scopes, governs their configuration, and adds behavioral signals from the platforms it connects to. It is enterprise-ready and its discovery reach is wide, but its posture is anchored in configuration and permissions rather than observed behavior, its integration is agentless rather than in the path, it has no gateway of its own, and by its own description it covers what gateways miss rather than sitting on the call.
Both clear the enterprise bar, so that is not the deciding factor. The decision is whether you want posture built on what agents actually do, from a platform in the path and running in your own environment, or posture built on configuration and permissions, from an agentless service connected through APIs. If you want to know what your agents did because you saw it, NeuralTrust is built for exactly that.
Frequently Asked Questions about NeuralTrust vs. Reco
1. What is the main difference between NeuralTrust and Reco for AI-SPM?
NeuralTrust TrustLens is integrated directly in the interaction path and builds posture from observed behavior, what agents actually do. Reco is an agentless SaaS security posture management platform that connects through APIs to discover agents and map their configuration, permissions, and OAuth scopes. One reports the record of what happened, the other describes what agents are permitted to do.
2. Does Reco observe live agent behavior?
Reco adds behavioral signals by noticing when an agent's access pattern through a SaaS platform's API looks unusual, but those signals are derived from what the platform reports, and its posture is anchored in configuration and OAuth scopes. NeuralTrust sits in the interaction path through its gateway, so its posture is grounded in the live call itself, the real inputs and outputs, captured firsthand.
3. Does Reco have its own AI gateway?
No. Reco discovers and governs agents agentlessly through API, IDP, CASB, browser, and network sources, and it describes its approach as covering what gateways miss. NeuralTrust is built on TrustGate, its AI gateway, which brokers every LLM, MCP, and tool call and is both the enforcement point and the source of truth for posture.
4. Can both products run in a private environment?
NeuralTrust TrustLens runs in your private environment or in the cloud, so posture and observability can live inside your perimeter. Reco is a SaaS platform that connects to your stack through APIs, so it operates as an outside service reaching in rather than posture deployed and running inside your own environment.
5. Are both platforms enterprise-ready?
Yes. Both NeuralTrust and Reco are enterprise-ready, serving enterprise customers and integrating with security operations tooling, so enterprise readiness is a point of parity. The meaningful differences are observed behavior versus configuration and OAuth posture, direct in-path integration versus agentless connectors, 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.
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