◆ Gentoo Logic · Modeling Warehouse

Architecture comparison

Darktrace vs Palo Alto Networks

Darktrace runs closer to the foundational model (Native (own / self-hosted weights)) than Palo Alto Networks (Native (own / self-hosted weights)). Shared foundation: proprietary / self-built models (highlighted).

Darktrace

Cybersecurity

Proximity
Native (own / self-hosted weights)
Models
proprietary / self-built models
Cloud · datastore
Hybridown
Compliance
SOC 2ISO 27001
Architecture

Self-Learning AI built in-house; models the network rather than calling an LLM.

Palo Alto Networks

Cybersecurity

Proximity
Native (own / self-hosted weights)
Models
proprietary / self-built modelsAnthropic · Claude
Cloud · datastore
Multi-CloudAmazon RDSAmazon RedshiftAmazon NeptuneAmazon OpenSearch ServiceRedisS3 (data lake / cold storage)Proprietary PAN-OS / Cortex / Prisma data stores
Compliance
SOC 2ISO 27001FedRAMPHIPAAPCI-DSS
Architecture

Palo Alto Networks runs a multi-cloud SaaS architecture with AWS as the primary runtime for major platforms like Prisma Cloud, using services such as RDS, Redshift, Neptune, OpenSearch, Redis, and S3 alongside Kubernetes-based microservices for data ingestion, analytics, and Infinity Graph. GCP (including Vertex AI) and Azure are used selectively for AI/ML workloads and cloud-native firewall offerings, with proprietary security engines and data stores layered on top of these managed services.

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