Company context
Alphabet public-company product and cloud business unit
Google positions Model Armor and Gemini Enterprise controls as Google Cloud and Workspace-native services
Vendor research
Google Cloud native AI security
Review what this vendor says publicly, the security topics those statements may support, what remains unverified, and factual company context. This is not an assessment of product effectiveness or fit.
Company scale
Established?
EstablishedA provider with at least $1B in annual revenue, at least 1,000 employees, or backing from an established owner.This is a company-maturity signal, not a product-quality rating.
?
EstablishedA provider with at least $1B in annual revenue, at least 1,000 employees, or backing from an established owner.This is a company-maturity signal, not a product-quality rating.A descriptive band derived from retained public revenue, workforce, ownership, or funding signals.
Company scale is separate from product features, effectiveness, and suitability.
- $402.8B annual revenue (2025-12-31)
- 1000+ employees
- Founded 2008
Research coverageCounts describe available public research, not product quality.View details
- Vendor statements
- 8 records
- Source-checked records
- 6
- Evaluation requirements
- 8 in this research model
- Unresolved requirements
- 0
Company intelligence
Who is behind the product
Company facts provide evaluation context. Each signal is kept separate because tenure, workforce, funding, and hiring answer different questions.
FoundedGoogle was founded in 1998; Google Cloud operates as Google's cloud platform business
HeadquartersMountain View, California
OwnershipAlphabet public-company product and cloud business unit
Employees1000+
Capital and scalePlatform provider
Google Cloud
- Latest annual company revenue
- $402.8B
- Operating scale
- Google positions Model Armor and Gemini Enterprise controls as Google Cloud and Workspace-native services
- Backing context
- Alphabet internal platform investment; not a separately funded AI-security vendor
Alphabet Inc. · period ended 2025-12-31 · filed 2026-02-05
Founders and leadershipBackground context
Current leadership and public filings provide more useful context for this company than historical founder information.
Operating signalsRead each signal separately
There is no combined company rating. The company-scale label uses stated size thresholds; product features and effectiveness require separate evidence.
- Company tenure
- Google was founded in 1998; Google Cloud operates as Google's cloud platform business
- Workforce scale
- 1000+
- Hiring activity
- Not displayed
A current count requires a retained, clickable source URL.
Open research questions
- A current hiring source is not available, so the count is not shown.
Company sources and research limits4 linked public sources
Only company facts supported by retained public sources are shown. Missing values remain unknown, and company scale does not establish product effectiveness.
Company sourceGoogle Cloud Model Armor overviewGoogle Cloud describes Model Armor as screening LLM prompts and responses to protect AI applications.Company sourceGoogle Workspace AI pageGoogle Workspace describes Gemini access, DLP, information rights management, and client-side encryption controls.Company information sourceStored company websiteSupports the company facts shown in this profile.Regulatory filing10-K annual filingAlphabet Inc. (GOOGL) · period ended 2025-12-31
Buyer context
- Treat Google Model Armor as native context for Gemini Enterprise, Vertex AI, and Google Cloud-hosted AI applications, not as broad employee third-party AI-app discovery.
- For Google-heavy AI teams, compare Model Armor prompt/response screening and Gemini Enterprise integration against independent AI runtime and agent-security controls.
Related frameworks
Where public vendor statements relate to framework requirements
0 related frameworks · expand when needed
Related frameworks
Where public vendor statements relate to framework requirements
These links show related requirements for further review. They do not establish framework compliance or control implementation. Open the full framework crosswalk →
Evaluation questions
What to verify beyond public claims
These questions come from security requirements with some public support. Use them as starting points for demonstrations, documentation review, customer references, or a buyer-observed pilot.
Detailed security-requirement research0 evaluation items · supporting evidence and open research are shown separatelyExpand
Security requirementPublic supportRelated frameworksWhat to verify
Public sources
Vendor statements and quoted evidence
Showing the first 6 of 8 source records. Open additional records only when needed.
Google Model Armor native-control materials reviewed did not provide a public claim for discovering employee use of third-party AI apps.
No quoted source text is recorded for this claim.
Google Model Armor native-control materials reviewed did not provide a public claim for software as a service (SaaS) AI inventory or embedded third-party software as a service (SaaS) AI discovery.
No quoted source text is recorded for this claim.
Google claims Model Armor filters prompts and responses to protect large language models (LLMs) from malicious or sensitive content exposure or generation.
Model Armor filters both input (prompts) and output (responses) to prevent the LLM from exposure to or generation of malicious or sensitive content.
Google claims Model Armor can mitigate leakage of sensitive IP and PII in large language model (LLM) prompts or responses.
Mitigate the risk of leaking sensitive intellectual property (IP) and personally identifiable information (PII) in LLM prompts or responses.
Google claims Gemini Enterprise Agent Platform can call Model Armor to inspect or block traffic that violates defined policies.
Gemini Enterprise Agent Platform calls the Model Armor service, which inspects or blocks traffic that violates your defined policies
Google claims Cloud Logging can show Model Armor sanitization results for prompts and responses in Gemini Enterprise Agent Platform integration.
You need to enable Cloud Logging to view the sanitization results of prompts and responses.
Show 2 additional evidence records
Google claims Model Armor can intercept prompts and responses for Gemini Enterprise Agent Platform traffic.
Model Armor intercepts prompts before they reach Gemini models, and intercepts responses before your application receives them.
Google says Model Armor uses total prompt and response tokens for pricing and limits tokens processed in each prompt and response.
Model Armor uses the total number of tokens in AI prompts and responses for pricing purposes. Model Armor limits the number of tokens processed in each prompt and response.