Cranium AI

Name: Cranium AI
Brand: Cranium AI
Rating: 3.7 (3 reviews)

AI Native

Securing the AI Revolution.

Est 2023|Valuation $469M|Raised $52M|3 Ref Customers

LinkedIn 60K|Web traffic 4K|FTEs 78|HQ Short Hills, New Jersey, US

MarketsVendor Risk Management AI Security Platforms

01Competitive Landscape

Narrative analysis

The vendor positions its offering as combining:

AI discovery at scale,
governance artifacts (AI Cards and compliance scoring),
security testing and remediation, and
third-party/supply-chain risk orientation.

Where competitors may excel:

Governance-first vendors may provide stronger out-of-the-box workflows for cross-functional governance operating models.
LLM security vendors may provide more mature runtime blocking and observability for GenAI applications.
Security platforms adjacent to CSPM/CNAPP/AppSec may integrate more directly with existing security operations and dashboards.

The vendor positions its offering as combining: 1) AI discovery at scale, 2) governance artifacts (AI Cards and compliance scoring), 3) security testing and remediation, and 4) third-party/supply-chain risk orientation. Where competitors may excel: - Governance-first vendors may provide stronger out-of-the-box workflows for cross-functional governance operating models. - LLM security vendors may provide more mature runtime blocking and observability for GenAI applications. - Security platforms adjacent to CSPM/CNAPP/AppSec may integrate more directly with existing security operations and dashboards.

Adoption/market signals

Early coverage noted go-to-market risk typical for new category entrants; this is dated and should not be assumed to reflect the current state without updated information.
Some end-user review presence exists but the sample size is small, limiting the confidence of public review-based signals.

	Cranium AI	Credo AI	CalypsoAI
Starting Price	Not public (sales/demo required)	Not public (enterprise governance vendor)	Not public (enterprise quote model)
Recommended For	Enterprises requiring AI discovery, governance artifacts, and third-party AI risk management	Enterprises emphasizing policy, governance workflows, and regulatory readiness	Teams focused on GenAI/LLM security controls and runtime protections
Key Strength	Lifecycle coverage: discovery, inventory, testing, remediation, verification, and emphasis on vendor/supply-chain orientation	Governance-first workflows and risk/control mapping	Runtime LLM security specialization and controls
Key Weakness	Limited independent review depth and limited public documentation on integrations and enterprise controls	May require integrations for deep runtime protections	May be narrower in scope for full enterprise governance and supply-chain system-of-record