Is Falcon AIDR now called Falcon Guardian?

CrowdStrike's current product page uses the Falcon Guardian name and describes it as bringing AI Detection and Response to the point of execution. The URL and page title retain AIDR, which explains the older search term. A 2026 procurement document should identify Falcon Guardian as the current product. It should also record the exact modules included in the quoted package.

Which alternative is closest to Falcon Guardian for endpoint agents?

Prompt Security is the closest option in this shortlist when browser interactions, local assistants, connectors, and endpoint-resident agents lead the requirements. Prisma AIRS and Noma also describe endpoint or agent runtime coverage as part of broader platforms. Compare supported operating systems and browsers on actual managed devices. Then test the agent frameworks, sensor health reporting, and containment actions.

Does Falcon Guardian include an AI gateway today?

CrowdStrike's product page dated around Fal.Con 2026 labels the Falcon Guardian AI gateway capability as coming soon. That wording supports a roadmap statement, not a production-availability claim. Buyers should ask CrowdStrike for written availability and licensing. They should also request the supported model routes and deployment documentation before counting the gateway in a current control matrix.

Can an HTTP AI gateway replace endpoint AIDR?

An HTTP gateway governs model calls deliberately routed through it. Endpoint AIDR can observe local processes, files, shells, browsers, and tool activity around an agent. Local models and on-device actions may never produce an inspectable gateway request. Deployments containing both routes need named controls for both. Keep the evidence distinct.

What should a regulated enterprise require in the proof?

Require one allowed event and one denied event on every in-scope route. For endpoint activity, connect the actor and prompt to the resulting process or tool action. For HTTP model traffic, preserve application-supplied identity, destination, policy version, classification, outcome, and time. Force a sensor or policy dependency to fail. Document the response. Retrieve the original event later without relying on a screenshot captured during the demonstration.

CrowdStrike Falcon AIDR Alternatives by Execution Boundary

CrowdStrike Falcon AIDR has expanded into Falcon Guardian. The current product page positions Guardian at the point of execution, where it connects prompts and agent activity with endpoint telemetry. It covers workforce AI use and agents on endpoints. Coverage extends to cloud and SaaS environments. CrowdStrike also marks an AI gateway capability as coming soon. That product boundary should drive the alternatives list: local execution, agent discovery, broad AI lifecycle coverage, and routed HTTP model calls are separate control problems.

TL;DR

Falcon Guardian provides AI Detection and Response with runtime visibility tied to endpoint and wider Falcon telemetry.
Choose Falcon Guardian for endpoint-agent visibility and correlation with downstream processes. It also supports containment inside the Falcon platform.
Prompt Security fits browser and endpoint interactions, including local activity that a network proxy cannot inspect.
Noma Security fits teams prioritizing AI asset discovery, agent access, runtime controls, and existing-infrastructure enforcement.
Prisma AIRS fits buyers seeking broad coverage across AI development, runtime security, gateway policy, and agent identity.
DeepInspect fits authenticated HTTP requests that need identity-aware authorization and independent decision evidence.

Falcon AIDR now sits inside Falcon Guardian

CrowdStrike's current Falcon Guardian product page describes AI Detection and Response at the point of execution. Guardian discovers workforce AI use and endpoint agents. It connects user prompts to downstream processes and system actions. Policies govern which agents may run and how AI interactions are handled. Containment actions address a compromised agent.

The execution context is the product's defining advantage. An endpoint sensor can correlate an AI interaction with the process, file access, browser, shell, and system changes that follow. A request proxy sees the HTTP model call sent through it. It cannot reconstruct local execution that never crosses that proxy. CrowdStrike's broader AIDR solution page spans endpoint and cloud planes. It also covers SaaS, along with CrowdStrike's SIEM and managed services.

The current page labels the Falcon Guardian AI gateway capability as coming soon. Keep that lifecycle label attached. A roadmap item should stay out of a production acceptance matrix until CrowdStrike publishes availability and the buyer tests it.

Picture an analyst with Falcon's process tree on the left monitor and an agent conversation on the right. Guardian's value appears when those views connect a prompt to a child process and a changed file. That is different evidence from an outbound LLM authorization record.

Prompt Security fits browser and endpoint interaction control

Prompt Security, now part of SentinelOne, argues for local inspection through a browser extension and a dedicated endpoint agent. Its browser and endpoint sensor guidance describes DOM-level prompt inspection for web tools, plus visibility into local assistants, connectors, skills, and MCP activity. It states the limit of network inspection plainly. On-device reasoning and local execution may produce nothing useful for a proxy to inspect.

Choose Prompt Security when employee use of public chat tools, desktop assistants, IDE integrations, and local agents dominates the route inventory. Validate the exact browsers and operating systems in scope, along with the desktop applications and agent frameworks. Then turn off the browser extension on one managed test device. Confirm how the platform reports sensor health.

This option overlaps Falcon Guardian at the endpoint. The evaluation should therefore focus on deployed coverage and action depth rather than category labels. Test a browser upload containing synthetic sensitive data. Follow it with a local tool call that never reaches a managed model gateway. The winning product is the one that can show the actual event and enforce the required response on those routes.

Noma Security fits discovery and agent control across environments

Noma Security's platform divides agents between endpoint and cloud environments. It also covers SaaS environments. The platform presents four connected products: AI security posture management, access control, AI Detection and Response, and red teaming. Noma also states that it can enforce with tools the customer already runs, an operating model that differs from deploying another dedicated data-plane gateway.

Choose Noma when the first unanswered question concerns agent inventory, ownership, access, or AI supply-chain components. Its platform scope includes models, MCP servers, tools, and packages, plus runtime and identity controls. That breadth suits a security program trying to establish an inventory before standardizing one enforcement path.

Existing-infrastructure enforcement needs a route test. Name the gateway or endpoint hook that receives each agent's activity. If a platform integration receives it instead, identify that integration. Remove one dependency and observe the outcome. An inventory item in a console proves discovery. A denied action proves enforcement. The shadow AI monitoring tools guide separates discovery signals from controls that can stop a live interaction.

Prisma AIRS fits a full-lifecycle platform purchase

Palo Alto Networks' current Prisma AIRS documentation covers AI Inventory, AI Red Teaming, AI Supply Chain Security, AI Runtime Security, AI Gateway, and AI Agent Identity. The platform therefore competes with CrowdStrike across a wider program purchase rather than only one endpoint control.

Choose Prisma AIRS when the procurement goal is consolidation across development and runtime security. Its documentation says AI Runtime Security can block threats at the network or code layer, while AI Gateway centralizes policy and observability for LLM and AI-service traffic. AI Agent Identity covers agent and MCP workflows. Test those modules as separate control points. A shared console does not make them one control.

A shared platform can reduce handoffs, but it can also hide entitlement and deployment differences. Ask which license activates each module and which sensor or gateway sees the event. Then establish where evidence is retained. Run one test per boundary: a risky model artifact during development, a prompt attack at runtime, an agent action using a governed identity, and retrieval of each resulting record. The AI gateway architecture guide can serve as the route map for that review.

The shortlist turns on four acceptance tests

Falcon Guardian fits endpoint-centered detection and response inside the Falcon platform. Prompt Security fits local browser and agent interactions. Noma fits discovery and agent governance across several environments. Prisma AIRS fits a broad platform consolidation. DeepInspect covers deliberately routed HTTP model traffic.

I would discard any RFP row named simply "AI runtime security." It compresses endpoint processes, browser sessions, application calls, gateway traffic, and model-provider controls into one green checkmark.

Use four acceptance tests instead:

Local execution: Ask the product to connect a prompt to a process and the resulting file access or tool action on the endpoint.
Asset discovery: Introduce an unregistered agent or MCP server and record when it appears. Identify its owner and the access shown.
HTTP model authorization: Send a request with a known identity and data class. Confirm which policy permits or denies the call before the model receives it.
Incident evidence: Retrieve each event by a stable identifier. Identify the system that owns the original record.

The AI firewall, gateway, and proxy comparison explains why the HTTP test belongs to a different data plane than endpoint execution.

DeepInspect

DeepInspect governs authenticated HTTP traffic deliberately routed between users or agents and LLM endpoints. It evaluates application-supplied identity and role context alongside prompt classification and model destination. A versioned policy makes the decision before allowed traffic reaches the model. Each outcome produces an independent per-decision audit record.

That control complements Falcon Guardian rather than claiming its endpoint boundary. DeepInspect leaves local process execution, file access, STDIO tools, and endpoint compromise to endpoint products. It fits the narrower case where a reviewer must prove why one authenticated person or agent was permitted to send a particular request to an HTTP LLM route.

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