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Cybersecurity · AWS

SentinelOne

Purple AI combines SentinelOne’s own Ultraviolet models with Anthropic Claude + OpenAI GPT over its Singularity data lake; exposes a Purple MCP server for agentic SOC investigation.

Foundation proximity: Native (own / self-hosted weights)

Foundational models & how they consume them

PrimaryUltraviolet (own)· self-hosted · Native (own / self-hosted weights)
SecondaryClaude· Anthropic API · Direct API
TertiaryGPT· OpenAI API · Direct API

Cloud & datastore

AWSownSnowflake

Compliance

SOC 2FedRAMP

Similar companies

Abnormal SecurityDarktracePalo Alto NetworksSnykCrowdStrikeOkta
Head-to-head: SentinelOne vs Abnormal SecuritySentinelOne vs DarktraceSentinelOne vs Palo Alto Networks

Others that build on proprietary / self-built models

Abnormal SecurityAbridgeAdobeAI21 LabsAleph AlphaAmbience

Explore

More Cybersecurity →Native (own / self-hosted weights) →More on AWS →

FAQ

Does SentinelOne use a foundational AI model?
SentinelOne uses Ultraviolet (own), Claude, GPT (Native (own / self-hosted weights)).
What cloud does SentinelOne run on?
SentinelOne runs on AWS.
What database does SentinelOne use?
SentinelOne uses own, Snowflake.
How close does SentinelOne run to the foundational model?
SentinelOne is Native (own / self-hosted weights) — close to the metal, so cheaper tokens and more control over outputs.

Sources

sentinelone.com ↗

Also on the map

proprietary / self-built modelsAnthropic · ClaudeOpenAI · GPT

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