Shadow AI Discovery Tools Compared: 5 Vendors for Finding Unsanctioned AI Usage

Shadow AI discovery tools build and continuously update an inventory of AI and SaaS applications in use across an organization, including tools nobody in IT or security formally approved. The core questions these platforms try to answer are consistent across vendors: which AI apps are in use, who is using them (and through which account, personal or corporate), what OAuth scopes or integrations those apps have been granted, and what data those grants could reach if the account or integration were compromised or misused.

This is fundamentally an inventory and identity-governance problem, not a content-inspection problem. A discovery tool can tell a security team that a marketing employee connected a personal Gemini account to the corporate Google Drive with read access to a shared folder; it generally cannot tell that team what text the employee actually typed into that tool's chat window. That second capability, prompt-level inspection, belongs to a different product category covered in the Harmonic Security vs. Nightfall AI comparison. Discovery tools also do not, on their own, govern what an autonomous AI agent is allowed to do once it is already running; that runtime governance question is addressed separately in the piece on securing agentic AI in the enterprise. This piece is scoped narrowly to the discovery and inventory layer across five vendors that compete there.

All five vendors describe broader platforms beyond pure shadow-AI discovery (dope.security is primarily an SWG, CloudEagle is primarily a SaaS management platform, and so on), so this table is scoped to the shadow AI/SaaS discovery capability specifically, not each vendor's full product line.

dope.security runs its discovery capability as one layer of a broader on-device secure web gateway product called Fly-Direct SWG. A lightweight agent installs on the endpoint (the vendor describes it as under 100 MB of RAM) and performs URL filtering, TLS inspection, CASB functions, and DLP locally, without routing traffic through a cloud proxy data center. AI discovery rides on top of that same web-traffic visibility: because the agent already inspects outbound web traffic, it can identify which AI tools an employee is reaching, and distinguish a personal account login from a corporate one.

Nudge Security is agentless by default. It connects to an identity provider (Google Workspace or Microsoft 365) and analyzes machine-generated emails from SaaS and AI vendors (signup confirmations, billing receipts, security notifications) to build an inventory without touching endpoints. The vendor states this integration takes under five minutes to enable. Nudge Security has also added browser-based discovery specifically for AI agents built on platforms that lack public APIs (such as agents built in Zapier, Retool, or ChatGPT Workspace), which requires deploying a browser extension to a pilot group to get that specific layer of coverage.

Grip Security takes a similar agentless-first approach: its initial connection analyzes corporate email flows, SSO data, and IdP records to discover SaaS and AI applications without installing agents or changing network configuration. An optional browser extension, Grip Extend, deployed via Group Policy Object to Chrome and Edge, adds deeper session and OAuth-grant context beyond what email/SSO analysis alone can see.

Reco connects via API integrations to SaaS platforms and identity providers, correlating human and non-human identities against the applications and OAuth grants those identities hold. It does not require an endpoint agent or browser extension for its core discovery capability.

CloudEagle takes the broadest multi-source approach of the five, correlating single sign-on data, an optional browser extension, firewall log exports, and finance/expense system data against what it calls a proprietary AI application catalog (SaaSMap) to build a unified inventory.

Integration depth and type differ meaningfully across the five vendors, and the type of integration determines what blind spots remain.

dope.security's integration surface is centered on endpoint management: it deploys through standard MDM tooling (Intune, Jamf, Kandji) rather than through SaaS or IdP APIs, since its discovery signal comes from the device's own web traffic rather than from a third-party app's API.

Nudge Security integrates primarily with Microsoft 365 and Google Workspace as the identity and email backbone for its core discovery, and separately supports browser-based discovery of AI agents built on platforms such as Airbyte, Atlassian Rovo, Cursor, HyperAgent, OpenAI Workflows, Retool, Zapier, and Zoom.

Grip Security integrates with corporate email and SSO/IdP systems as its baseline signal, with the Grip Extend browser extension as an additional, optional data source layered on top.

Reco advertises the widest named integration catalog of the identity-centric tools, describing 260+ app integrations spanning IdP, collaboration, and AI providers such as OpenAI, Microsoft Copilot, and Claude.

CloudEagle advertises 500+ direct integrations, the largest named number among the five, spanning SSO, finance/expense platforms, and firewall log sources, reflecting its heritage as a SaaS management and procurement platform rather than a pure security tool.

dope.security carries the highest initial operational lift of the five because it requires rolling out and maintaining an endpoint agent across the device fleet: agent version management, MDM policy configuration, and ongoing device health monitoring become part of the job, in exchange for real-time enforcement (not just visibility) once deployed.

Nudge Security and Grip Security both aim for the lowest initial effort: agentless IdP/email-based discovery can produce a first inventory within minutes of connection, with no endpoint rollout required for the base capability. Effort rises only if an organization chooses to add the optional browser extension layer (Nudge Security's browser-based agent discovery, Grip Extend) for deeper coverage of unmanaged or personal-account usage.

Reco sits in the middle: initial IdP-based discovery starts quickly, but realizing the full value of its 260+ integration catalog means connecting individual SaaS applications one at a time, which takes more ongoing configuration than a pure email/IdP correlation model.

CloudEagle carries a comparable or higher ongoing effort to Reco because its model depends on wiring up more distinct data sources (SSO, browser extension, firewall log export, and finance/expense system integration) to get the full cross-referenced inventory; the finance-system connection in particular is not a step the other four vendors require.

Of the five vendors, Nudge Security is the only one with pricing published directly on its own site: an Essential plan at $750 per month for organizations up to 150 users, and a Growth plan at $5 per user per month for organizations between 150 and 1,500 users, both billed annually, with a custom Enterprise plan above 1,500 users. That published, tiered structure makes budget approval easier for smaller security teams evaluating the category for the first time.

dope.security, Grip Security, Reco, and CloudEagle do not publish per-seat or tiered pricing on their own sites as of this writing. Third-party software marketplace and review sites occasionally list estimated price ranges for some of these vendors, but those figures are not vendor-confirmed and should not be relied on for budgeting; get a written, scoped quote directly from each vendor's sales team based on actual user count, integration scope, and whether optional components (an endpoint agent, a browser extension, a finance-system connector) are included.

dope.security strengths: discovery is bundled with real enforcement, since the same on-device agent that discovers AI usage can also allow, warn on, or block it, and running one agent avoids adding a cloud-proxy latency detour for organizations that already need to modernize or replace a secure web gateway. dope.security limitations: an organization that already runs a different SWG or SASE stack would be adding a second endpoint agent purely for the AI-discovery slice, and coverage is limited to web traffic the agent actually monitors, meaning unmanaged or BYOD devices outside the MDM fleet remain a blind spot.

Nudge Security strengths: fast, genuinely agentless setup through IdP and email signal, extended browser-based discovery for AI agents built on platforms without public APIs, and the only vendor here with published, predictable pricing. Nudge Security limitations: the base agentless model depends on how much AI-related signup and login activity actually flows through corporate email and the connected IdP; an employee who signs up for a personal AI account with a personal email and never authenticates through corporate SSO can be missed unless the optional browser extension is also deployed.

Grip Security strengths: a genuinely agentless first pass via email/SSO/IdP analysis, with a strong focus on OAuth-grant and non-human identity governance layered on top of raw discovery, plus an optional browser extension for deeper session context when needed. Grip Security limitations: like Nudge Security, full-fidelity discovery of unmanaged or personal-device AI usage depends on rolling out the optional Grip Extend browser extension via GPO, which is an additional deployment step rather than something the base agentless mode covers alone.

Reco strengths: an identity-centric model that maps which human and non-human identities are connected to which AI tools and what data those OAuth grants can reach, backed by a wide (260+) named integration catalog. Reco limitations: the core model is API/integration-based, so an AI tool with little or no SaaS-API footprint (accessed purely through a browser, with no OAuth connection to a monitored app) may surface more slowly or with less context than in the IdP- or browser-extension-based tools.

CloudEagle strengths: correlates the widest range of signal types (SSO, browser extension, firewall logs, and expense/finance data) into a single inventory, adding a spend and procurement lens that pure security-focused vendors do not offer. CloudEagle limitations: realizing full value requires standing up more integrations (particularly the finance-system connector) than a lighter agentless tool, and its origin as a SaaS management platform means its non-human identity and OAuth risk scoring is generally less specialized than dedicated SaaS-security vendors like Reco or Grip Security.

dope.security tends to fit organizations that already need to replace or modernize a secure web gateway and want AI discovery bundled with real-time policy enforcement at the endpoint, particularly mid-size organizations standardized on a single MDM platform across their laptop fleet.

Nudge Security tends to fit lean security teams, often a handful of people, at startups or mid-market, SaaS-heavy organizations on Google Workspace or Microsoft 365 that want a fast, agentless shadow-IT-and-AI inventory without touching endpoints, and that value published, predictable pricing for budget approval.

Grip Security tends to fit mid-size to large enterprises whose primary driver is OAuth-grant sprawl and non-human identity governance across shadow SaaS and shadow AI, and that are willing to add the optional browser extension for full-fidelity coverage.

Reco tends to fit enterprises already running a broad SaaS estate that want AI discovery folded into a wider identity-centric SaaS security posture management program, especially where security and IT already lean on IdP-based correlation across a large application count.

CloudEagle tends to fit IT and procurement-adjacent teams (SaaS operations, IT asset management) at larger enterprises that want shadow-AI discovery paired with spend and contract visibility, treating this as a SaaS governance problem as much as a pure security problem.

None of these five vendors are the right purchase in every situation. Consider holding off, at least for now, if:

• The organization's real gap is prompt-level content inspection, stopping sensitive data from being typed into a legitimate, already-sanctioned AI tool, rather than finding out what AI tools are in use in the first place. Discovery and inventory tools answer "what is being used and by whom," not "what was typed into it." See the Harmonic Security vs. Nightfall AI comparison for that separate category.
• The organization needs to govern what an autonomous AI agent is permitted to do once it is already running (execution-time policy, tool-call restrictions, agent-to-agent permissions) rather than simply knowing the agent exists. Discovery tools like Nudge Security can tell you an agent exists and who built it, but runtime governance is a different problem, covered in securing agentic AI in the enterprise.
• Identity architecture is not yet settled, for example during a merger with multiple identity providers still in place, or an organization running without a consolidated IdP at all. Most of these tools depend heavily on IdP/SSO signal quality; fixing identity consolidation first will make any of these five tools more effective once purchased.
• The organization has only a handful of SaaS applications and no formal security function yet. Reviewing an existing IdP's connected-app catalog directly, combined with a periodic manual survey of employees, may be sufficient until AI and SaaS sprawl grows enough to justify a dedicated commercial platform.
• There is no plan or headcount to act on what discovery surfaces. A tool that produces an accurate inventory of unsanctioned AI usage is only useful if someone will review OAuth grants, follow up with users, and decide what to sanction, restrict, or revoke; buying a discovery platform without that follow-through capacity produces a dashboard nobody acts on.

Run any shadow AI discovery proof of concept against a real, read-only connection to production identity and SaaS data, not a vendor demo environment, and confirm the following before committing budget.