Discovery & shadow AI
Finds models, agents, AI services and AI-enabled apps, including ones nobody declared.
Ten platforms, eight criteria, one table. A fair, dated comparison built only from public documentation, so you can shortlist in minutes.
There is no single best platform; the right choice depends on which part of your AI supply chain you need to cover.
Model-security specialists such as HiddenLayer, Palo Alto Networks, Cisco and JFrog lead on scanning model files; Zenity and Noma Security focus on agents, runtime and MCP; Credo AI and OneTrust lead on governance and vendor risk; and Cranium AI is the only platform in this comparison that publicly documents AI‑BOMs, third-party AI risk, red teaming, runtime protection and compliance mapping together.
Ratings reflect public documentation as of October 29, 2026. Yes means documented; Partial means narrow, in preview or covering only some of the criterion.
| Vendor | Discovery & shadow AI | AI‑BOM | Model scanning | Third-party AI risk | Red teaming | Runtime protection | Compliance mapping | Agents & MCP |
|---|---|---|---|---|---|---|---|---|
| Cranium AICranium ONE | Yes | Yes | Not documented– | Yes | Yes | Yes | Yes | Partial |
| CiscoCisco AI Defense | Yes | Partial | Yes | Not documented– | Yes | Yes | Partial | Yes |
| Credo AICredo AI Enterprise AI Governance Platform | Partial | Not documented– | Not documented– | Yes | Partial | Partial | Yes | Partial |
| HiddenLayerHiddenLayer AI Security Platform | Yes | Yes | Yes | Not documented– | Yes | Yes | Partial | Yes |
| JFrogJFrog AI Security (formerly JFrog AI Catalog) | Yes | Yes | Yes | Partial | Not documented– | Partial | Partial | Yes |
| Noma SecurityNoma Platform | Yes | Partial | Yes | Not documented– | Yes | Yes | Yes | Yes |
| OneTrustOneTrust AI Governance | Yes | Not documented– | Not documented– | Yes | Not documented– | Partial | Yes | Partial |
| Palo Alto NetworksPrisma AIRS | Yes | Not documented– | Yes | Not documented– | Yes | Yes | Partial | Yes |
| WizWiz AI-SPM and AI Application Protection Platform (AI-APP) | Yes | Yes | Yes | Not documented– | Partial | Yes | Partial | Yes |
| ZenityZenity platform (AISPM, AIDR, MCP Security) | Yes | Not documented– | Not documented– | Not documented– | Partial | Yes | Partial | Yes |
An AI supply chain runs from the models, data and code you pull in, through the vendors that embed AI, to the agents acting at runtime. These criteria cover each link.
Finds models, agents, AI services and AI-enabled apps, including ones nobody declared.
Produces an AI bill of materials: models, data, dependencies and provenance for each AI system.
What is an AI-BOM?Inspects model files and repositories for malicious code, backdoors and unsafe serialization.
Assesses the AI that vendors use on your data, with evidence rather than a one-off questionnaire.
Third-party AI risk guideRuns adversarial tests against models and agents before attackers do.
Detects or blocks prompt injection, data leakage and unsafe agent behavior in production.
Maps evidence to the EU AI Act, NIST AI RMF and ISO 42001. Partial if only some are covered.
Inventories and controls AI agents, their tools and MCP connections.
Every vendor gets the same two lines: where it fits best, and when you should look elsewhere. That includes us.
Cranium ONE
Independent. Disclosure: Cranium AI publishes this guide.
Enterprises that need one platform across the whole AI supply chain: AI-BOMs from code, cloud and agents, third-party AI evidence through AI Cards, red teaming, runtime monitoring and mapping to the EU AI Act, NIST AI RMF and ISO 42001.
Your main need is scanning model files inside an artifact pipeline, or you want AI security bundled into an existing network, cloud or CNAPP platform. Cranium AI is a standalone AI security and governance platform.
Analyst recognition: Gartner Magic Quadrant for AI Governance Platforms (June 2026), one of 13 vendors; Gartner Cool Vendor (2025); TAG Infosphere Top Five AI Security Vendor (2025).
Sources: Discover · Prove and AI Cards · Docs FAQ
Cisco AI Defense
Cisco Systems. Builds on the Robust Intelligence acquisition (completed September 2024).
Cisco, Splunk or Secure Access customers who want AI security tied into their network, SASE and SOC stack.
You need documented EU AI Act or ISO 42001 mapping or vendor AI risk workflows. Cisco notes some February 2026 features, including AI BOM, are still in development.
Sources: AI supply chain risk management · Feb 2026 expansion
Credo AI Enterprise AI Governance Platform
Independent, venture-backed.
Enterprises that want a dedicated, policy-led AI governance system of record: use-case intake, risk, vendor reviews and regulatory evidence.
Your main need is technical supply chain security, such as scanning model files, generating AI-BOMs or blocking malicious artifacts. Credo AI documents governance workflows rather than artifact scanning.
Analyst recognition: Gartner Magic Quadrant for AI Governance Platforms (June 2026), Visionary; Forrester Wave AI Governance Solutions (Q3 2025), Leader.
Sources: credo.ai · Agent Governor
JFrog AI Security (formerly JFrog AI Catalog)
Public company (Nasdaq: FROG).
Engineering and DevSecOps teams securing the models, MCP servers and agent skills that developers pull in, inside the Artifactory pipeline they already use.
You need enterprise-wide AI governance: use-case risk reviews, vendor questionnaires or mapping to the EU AI Act, NIST AI RMF or ISO 42001.
Analyst recognition: Gartner Magic Quadrant for Software Supply Chain Security (June 2026), Leader.
Sources: JFrog AI Security · Malicious model detection docs
Noma Platform
Independent, venture-backed.
Teams that want one AI and agent security vendor across discovery, model and MCP supply chain checks, red teaming, runtime detection and compliance mapping.
You want AI security inside an existing CNAPP or cloud security graph, or need vendor AI risk assessment. Noma is a standalone AI and agent security platform.
Analyst recognition: Gartner Emerging Market Quadrant for AI Application Security, Startup Vendors (2026), Market Shaper; Gartner Cool Vendor in AI Security (2025).
Sources: AI supply chain security · AI compliance
OneTrust AI Governance
Private.
Organizations already running OneTrust for privacy, consent or third-party risk that want AI governance in the same platform and processes.
You need deep technical AI security testing, such as model-file scanning, AI-BOMs or adversarial red teaming. OneTrust’s documented focus is governance, privacy and policy enforcement.
Analyst recognition: Gartner Magic Quadrant for AI Governance Platforms (June 2026), Visionary; Gartner Magic Quadrant for Third-Party Risk Management Tools (2026), Leader.
Sources: AI Governance · AI Guard SDK docs
Prisma AIRS
Palo Alto Networks (Nasdaq: PANW). Includes Protect AI, acquired July 2025.
Large enterprises standardized on Palo Alto Networks that want model scanning, red teaming, posture and runtime and agent security from one platform vendor.
You need AI-BOM output, vendor AI risk assessment or EU AI Act and ISO 42001 mapping. Palo Alto’s public material centers on security controls rather than governance documentation.
Sources: Prisma AIRS · AI Supply Chain Security docs
Wiz AI-SPM and AI Application Protection Platform (AI-APP)
Google (acquisition completed March 2026). Wiz keeps its brand and multi-cloud support.
Organizations on Wiz, or standardizing on a CNAPP, that want AI posture, AI-BOM and attack-path context inside their cloud security graph.
You need dedicated AI red teaming or EU AI Act and ISO 42001 mapping. Wiz brings in AI app red-team findings through partners and publicly maps to OWASP LLM and NIST AI RMF.
Sources: Wiz AI-SPM · Introducing Wiz AI-APP
Zenity platform (AISPM, AIDR, MCP Security)
Independent, venture-backed ($125M Series C, August 2026).
Enterprises securing many AI agents across SaaS copilots, coding agents and homegrown builds, with intent-aware runtime enforcement.
Your main need is model-level supply chain controls such as model-file scanning or AI-BOMs. Zenity’s documented focus is agent posture, runtime and MCP.
Analyst recognition: Gartner Emerging Market Quadrant for AI Application Security, Startup Vendors (2026), Market Shaper.
Sources: MCP Security · AI Detection and Response
List what you need to cover: models you build, models you download, vendors that embed AI and agents acting on your behalf.
Start with the criterion where you have the least coverage today, usually inventory or third-party AI.
Ask each vendor for AI‑BOM samples, red-team reports and the framework mappings your auditors will request.
Run a proof of value against your own repositories, cloud accounts and vendors, not a demo dataset.
Straight answers, kept current. Last updated .
Ask us anything →AI supply chain security protects the models, data, code, infrastructure, vendors and agents an AI system depends on, from discovery and AI‑BOMs through model scanning, red teaming and runtime protection.
It depends on what you need to cover. Model-security specialists lead on model-file scanning, agent-security vendors on runtime and MCP, and governance platforms on vendor risk and compliance. Cranium AI is the only platform in this comparison that publicly documents AI‑BOMs, third-party AI risk, red teaming, runtime protection and compliance mapping together.
Based on public documentation as of October 2026: Cranium AI, HiddenLayer, JFrog and Wiz document AI‑BOM generation. Cisco has announced AI BOM, and Noma Security references AI‑BOMs without describing them as a product feature.
Cranium AI, Credo AI and OneTrust document vendor AI risk assessment. JFrog vets and blocks third-party models and MCP servers at the asset level, without a vendor assessment workflow.
Every vendor was rated on the same eight criteria using only public documentation: vendor websites and docs, official press releases and reputable trade press. Not documented means we could not find it publicly, not that the vendor lacks it.
Cranium AI publishes this guide, so we disclose that, list ourselves first and apply the same criteria and the same Best for and Consider something else lines to every vendor, including us. Vendors can send corrections through our contact page.
Gartner does not endorse any vendor, product or service depicted in its research publications and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner’s research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose. GARTNER, MAGIC QUADRANT and COOL VENDORS are registered trademarks of Gartner, Inc. and/or its affiliates in the U.S. and internationally and are used herein with permission. All other product names and trademarks are the property of their respective owners and are used for identification only.
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