If you already run OneTrust for privacy, adding its AI governance module is the obvious first thought. Here is what it covers, where Cranium AI goes further, and how they compare across the AI Trust Loop.
OneTrust AI Governance is a module of OneTrust’s privacy and GRC platform that inventories AI from cloud platforms, runs risk assessments and approvals, and maps them to frameworks.
Cranium AI is an AI security and governance platform that builds AI‑BOMs from source code, monitors and enforces policy on live prompts and responses, red teams models, and shares evidence through AI Cards. OneTrust fits teams extending an existing OneTrust program; Cranium AI fits teams that need technical AI security and governance in one place.
Every capability on this page, scored the same way for both platforms and rolled up by AI Trust Loop stage.
Cranium AI16/ 19AI‑BOMs from code repos
Cloud AI platform connectors
Live prompt and response monitoring
AI Guard SDK (public preview)
Frameworks plus runtime policy
50+ frameworks, intake workflows
Inline block or modify, red teaming
Native cloud guardrails, AI Control Plane announced
AI Cards for vendors and customers
TPRM suite and audit evidence
Scored across the 19 capabilities compared on this page: Documented = 1, Partial or Preview = 0.5, Unclear or Not documented = 0. Deployment and API rows are not scored. The capability list reflects what buyers ask about AI security and governance, and it includes areas where OneTrust leads.
OneTrust and Cranium AI overlap, but they were built to answer different first questions. Here is the short version.
| Cranium AI | OneTrust | |
|---|---|---|
| Category | AI security and governance platform | AI governance module of the “AI-Ready Governance Platform” |
| Built for | CISOs and AI governance leads who need security and proof in one place | Privacy, legal, risk and compliance teams, plus data and AI teams |
| Company | Emerged from KPMG Studio in 2023. Short Hills, NJ | Founded 2016. Atlanta, GA |
| How AI is found | Scans code repositories into AI‑BOMs; SIEM-based shadow AI view | Connectors to Bedrock, SageMaker, Azure AI Foundry, Vertex and Databricks |
| Runtime control | Inline Block, Modify or Pass on prompts and responses | AI Guard SDK (public preview) and native platform guardrails |
| Security testing | Arena automated red teaming and guardrail testing | No automated red teaming documented |
| Regulations | EU AI Act, NIST AI RMF, ISO/IEC 42001 | EU AI Act, NIST AI RMF, ISO 42001 and 50+ frameworks claimed |
| Deployment | SaaS with US, EU and AU tenants | SaaS on Azure in 12 regions, plus a customer-hosted worker node |
Disclosure: Cranium AI publishes this comparison. Every OneTrust detail comes from public sources, mainly OneTrust’s own website, documentation, marketplace listings and press releases, plus a few third-party publications where cited, checked on October 29, 2026. Where we could not find public evidence, we say “Not documented,” never “No.” Spot something out of date? Tell us and we will fix it.
Organized by the AI Trust Loop: Discover, Observe, Govern, Secure and Prove. Cranium AI is held to the same standard as everyone else: if our docs don’t show it, we don’t claim it.
Find the AI you run
Scans GitHub, GitLab, Bitbucket and Azure DevOps (cloud and self-managed) into AI‑BOMs of models, datasets, packages, agents and static system prompts.1,2
Inventory exports exist; no AI‑BOM, CycloneDX or SPDX format is documented.7
AgentSensor maps agents, tools, handoffs, guardrails and MCP servers from source code across six agent frameworks.5
Shadow AI view built from connected SIEM activity: AI provider access, AI-enabled SaaS, AI web apps and embedded AI. No endpoint agent or browser extension.10
Discovery runs from code and SIEM activity. CloudSensor covers Azure security posture; no Bedrock, Vertex or Databricks connectors are documented.12
Watch what it does
Guardian inspects every prompt and response between your AI apps and the model, in Listen or Enforce mode.13,14
Token and cost analytics per event, model and use case.16
Performance dashboard covers usage, risk, PII exposure and tokens (GA October 16, 2026).17
Hold it to policy
EU AI Act, NIST AI RMF and ISO/IEC 42001, with self-attestation and automated answer scoring.18
AI Card reviews with approve, request changes or decline, plus an audit trail. No use-case intake questionnaires.20
Profiles set Block, Modify or Pass per signal, separately for prompts and responses, and per agent event type.22
Defend it under attack
Enforce mode runs inline between your app and OpenAI, Anthropic Claude or AWS Bedrock models. New profiles start in Listen.14,25
PII, PHI, PCI, secrets, named entities and a custom blocklist, on prompts and responses.22,28
PII, credentials, financial and healthcare classifiers; no custom classifiers. Docs call it optimized for development and testing workloads.15
Direct attacks at runtime: jailbreaking, instruction override, prompt leaking, role impersonation, direct command injection and goal hijacking at runtime. Indirect injection is tested in Arena before release.28,29
Arena runs fixed and adaptive multi-turn attacks across 9 LLM categories and 26 non-LLM task types, mapped to OWASP.30,29,31
No automated red teaming found; OneTrust publishes a GenAI stress-test guide.9
Not mentioned in any page reviewed.9
Scans imported model files for malicious code and unsafe serialization.
Not mentioned in any page reviewed.9
Scans agent config files in repositories (AGENTS.md, CLAUDE.md, .cursor, Copilot instructions) for exfiltration endpoints and hidden Unicode. No endpoint hooks.33
No coding-agent or endpoint controls documented.9
Show the evidence
AI Cards request, respond and publish AI‑BOMs, framework results and vulnerability data; My Vendors tracks every card received.34,35
Framework and AI System PDF exports, AI Cards and audit trails on review decisions. Runtime evidence is not packaged into AI Cards.38,20
How it runs
“Documented” means the vendor’s public docs or product pages describe the capability as available. “Preview” covers beta, private preview and research preview. “Not documented” means we found no public evidence; it may exist behind a login or on a roadmap. Numbers link to the sources at the foot of this page.
The fastest way to see the difference is to follow one AI system through each platform.
A worker node deployed in your AWS, Azure or Google Cloud account scans connected AI platforms for models, agents, datasets and guardrails.
Projects, AI systems, agents, models and datasets land in the AI Program Center with relationships and a lineage graph.
Intake and assessment workflows tier risk and map each record to the EU AI Act, NIST AI RMF, ISO 42001 and other frameworks.
Policies flag violations on inventory attributes and can apply native platform guardrails. Evidence rolls up for auditors and boards.
CodeSensor and AgentSensor scan your repositories and build AI‑BOMs of the models, datasets, packages, agents and MCP servers in your code. A SIEM-fed Shadow AI view and AI Recon cover the AI you didn’t build.
Guardian watches live prompts, responses and tool calls between your apps and the model, with session reconstruction, agent analytics and cost tracking.
Map each AI system to the EU AI Act, NIST AI RMF and ISO/IEC 42001, and turn policy into runtime profiles that decide per signal.
Enforce mode blocks or modifies risky prompts and responses inline. Model files are scanned for malicious code, Arena red teams models before release and Arena Shield tests the guardrails.
AI Cards share AI‑BOMs, framework results and vulnerability data with customers, vendors and auditors, and flag when they fall out of sync.
Buyers trust comparisons that admit what the other platform does well. So do we.
Privacy, consent, third-party risk, GRC and AI governance run on one platform, with a large existing install base.42
The EU AI Act framework was updated for the Digital Omnibus in October 2026, alongside NIST AI RMF, ISO 42001 and a claimed 50+ frameworks.17,19
Documented connectors cover Bedrock, SageMaker, Azure AI Foundry, Vertex and Databricks, including their guardrail settings.3,8
Intake, approvals and attestations draw on OneTrust’s privacy heritage, and its TPRM suite is a long-standing product line.9,36
Cranium AI scans repositories into AI‑BOMs, including agents and MCP servers, and exports CycloneDX or SPDX. OneTrust discovers through cloud platform APIs.
Guardian enforces Block, Modify or Pass inline on prompts and responses. OneTrust’s AI Guard is a public preview its docs call “optimized for development and testing workloads.”
Cranium AI detects jailbreaks, instruction override, prompt leaking and goal hijacking at runtime. OneTrust’s AI Guard documents sensitive-data classifiers only.
Arena red teams models before release and Cranium ONE maps AI dependencies to known CVEs through OSV.
Running both? OneTrust customers can keep it as the privacy and GRC system of record. Cranium AI can add discovery, runtime security and AI Card evidence alongside it. No native integration is documented; Cranium AI’s Public API exports AI‑BOMs, vulnerabilities and AI Card data for sync.
Straight answers, kept current. Last verified .
Ask us anything →A module of OneTrust’s AI-Ready Governance Platform. It inventories AI projects, systems, models, agents and datasets, runs risk assessments and approvals, maps them to the EU AI Act, NIST AI RMF and ISO 42001, and adds monitoring and guardrail enforcement on connected AI platforms.
Partly. OneTrust’s AI Guard SDK can redact or block sensitive data in prompts and responses, but it is in public preview and its documentation calls it optimized for development and testing workloads. OneTrust can also apply guardrails already configured in Bedrock, Azure AI Foundry or Databricks. Cranium AI’s Guardian enforces Block, Modify or Pass inline.
OneTrust’s AI Guard documentation covers sensitive-data classifiers, not prompt-injection or jailbreak detection. OneTrust records whether Bedrock or Foundry prompt-attack guardrails are configured. Cranium AI detects jailbreaking, instruction override, prompt leaking and goal hijacking at runtime.
No public documentation of repository scanning or CycloneDX or SPDX AI‑BOM export was found as of October 2026. Cranium AI builds AI‑BOMs from GitHub, GitLab, Bitbucket and Azure DevOps and exports CycloneDX and SPDX.
No automated red-teaming product was found. Cranium AI’s Arena runs automated adversarial testing across 9 LLM attack categories and 26 non-LLM task types.
OneTrust does not publish prices. Its pricing page says AI Governance is priced on admin users and AI inventory size.
OneTrust is SaaS hosted on Microsoft Azure in 12 regions. A customer-hosted worker node runs discovery scans and AI Guard inside your cloud account.
If you need runtime AI security and code-level discovery alongside governance, Cranium AI combines AI‑BOMs, inline enforcement, red teaming and AI Card evidence in Cranium ONE.
How we built this page. We read OneTrust’s public website, product documentation, developer docs, marketplace listings and press releases, and Cranium AI’s own documentation at docs.cranium.ai, on October 29, 2026. We compare documented capabilities. Announced or preview features are labeled as such, and analyst placements are left out. Product names and trademarks belong to their owners; OneTrust has not reviewed or endorsed this page.
See how Cranium AI discovers, observes, governs, secures and proves every model, agent and vendor in your enterprise.
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