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Intro call
01

Hardware boundary

Data physically does not leave the box. Software-only competitors always need compute someone else owns — cloud or customer Kubernetes. BRANE ships as an appliance.

02

Per-prompt inspection (Guardian)

Guardian runs before inference with auditable routing decisions. Cloud tools only inspect on their own servers — none has an equivalent pre-inference pipeline as a primary feature.

03

Smart Rehydration

PII token substitution lets you use frontier-cloud quality on PII-containing prompts without cleartext ever crossing the boundary. Cloud tools only block-or-allow; sovereign software is local-only.

Comparisons

BRANE vs. the alternatives.

BRANE is the only vendor here that ships a hardware appliance with per-prompt inspection and a PII rehydration pipeline. Every other option is software running on infrastructure someone else owns.

BRANE vs. ChatGPT Enterprise

Best model and UX — but US jurisdiction is structural.

Positioning

OpenAI's premium tier delivers frontier models and the familiar ChatGPT UX. But Data Residency only covers storage, not inference, and OpenAI remains a US corporation under the CLOUD Act.

Strengths

  • Frontier model quality (GPT-5 class)
  • Industry-standard UX, near-zero onboarding
  • Richest connector & agent ecosystem
  • Strong compliance wrapper (SOC 2, ISO 27001)

Where BRANE differs

  • Schrems II / CLOUD Act exposure even with EU residency
  • Residency ≠ sovereignty — sub-processors stay US entities
  • No custom PII categories at the prompt layer
  • Vendor lock-in: OpenAI models only

When to choose BRANE

Choose BRANE when you sit in the EU, need DSGVO Art. 25 / EU AI Act guarantees, must keep data physically on-prem, or operate in a regulated industry.

BRANE vs. Microsoft 365 Copilot

Already where users work — but the EU Data Boundary has holes.

Positioning

Copilot is embedded across M365 with Graph-RAG over your own docs. But the Anthropic sub-processor breaks the EU Data Boundary and Flex Routing defaults sensitive data to US/CA/AU.

Strengths

  • Deepest integration in the stack users already use
  • Graph-RAG over your docs without a separate project
  • Purview offers mature custom DLP / SITs
  • EU Data Boundary as a contractual commitment

Where BRANE differs

  • CLOUD Act remains; Microsoft is a US corporation
  • Anthropic sub-processor runs outside the EUDB
  • Flex Routing default-on sends EU data abroad on spikes
  • Purview inspection happens inside the Microsoft cloud

When to choose BRANE

Choose BRANE for regulated data in M365 that must not enter a US sub-processor chain — BRANE can even run in parallel with Copilot for sensitive workloads.

BRANE vs. Google Gemini Enterprise

Strong EU multi-region story — but CMEK keys still sit with a US cloud.

Positioning

Gemini offers the strongest EU multi-region story of the cloud incumbents plus CMEK and VPC-SC. But Google remains a US corporation subject to the CLOUD Act.

Strengths

  • Frankfurt + EU data regions
  • CMEK + VPC Service Controls + Access Transparency
  • Strong multimodal capabilities
  • Long context window (1M+ tokens)

Where BRANE differs

  • CLOUD Act applies despite CMEK + EU regions
  • Keys still sit with a US cloud provider
  • No native custom PII categories at the prompt layer
  • Workspace lock-in for the integration benefits

When to choose BRANE

Choose BRANE when you need physical on-prem, when CMEK is not enough because the keys sit with a US provider, or when you specifically need air-gap capability.

BRANE vs. Claude Enterprise

Best reasoning model — but no native EU residency and audit logs lack content.

Positioning

Anthropic's enterprise plan offers state-of-the-art reasoning and the most mature coding agent. But Claude runs on US infrastructure and audit logs contain only IDs, not chat content.

Strengths

  • State-of-the-art reasoning & long context
  • Most mature coding agent on the market
  • Clean self-serve onboarding from 20 seats
  • Compliance API with real SIEM streaming

Where BRANE differs

  • No native EU residency (only via AWS/Google EU)
  • Audit logs contain no chat content — a DSGVO problem
  • CLOUD Act: Anthropic and its hosts are US corporations
  • No native custom PII detection

When to choose BRANE

Choose BRANE when EU compliance is hard, audit logs must contain content, or data residency must be physically guaranteed.

BRANE vs. Traditional DLP

Block/allow filters on data channels vs. semantic inspection of AI conversations.

Positioning

Symantec, Forcepoint and Purview are mature DLP suites that added GenAI hooks. But they inspect discrete data points, not conversation state — and they only block or allow.

Strengths

  • Mature content classifiers (15+ years of tuning)
  • Reach across every egress channel
  • Out-of-the-box SIEM / IAM / eDiscovery
  • Deep Microsoft 365 integration (Purview)

Where BRANE differs

  • No semantic multi-turn conversation understanding
  • Prompt injection is outside the DLP model
  • Block-only — no rehydration path
  • No own inference; the stack gets longer, not shorter

When to choose BRANE

Choose BRANE when LLM conversations are the primary channel, multi-turn semantics and PII rehydration matter, and data must not physically leave the box.

BRANE vs. Microsoft Purview

Best-in-class Microsoft classification — but inspection happens inside the Microsoft cloud.

Positioning

Purview is the most mature data-classification engine for the Microsoft stack. But architecturally it operates inside Microsoft Cloud — after data has already crossed into the tenant — and only blocks or allows.

Strengths

  • Deepest native integration in M365 Copilot
  • Most mature custom-SIT system of all competitors
  • Tied into existing Microsoft compliance posture
  • Largest installed base in EU enterprises

Where BRANE differs

  • Inspection happens inside the Microsoft cloud
  • No multi-turn conversation memory
  • Binary block-or-allow, no token substitution
  • Deepens Microsoft lock-in

When to choose BRANE

Choose BRANE when inspection must happen before data leaves the perimeter, or when you need cloud-model quality without putting plaintext PII into Microsoft.

BRANE vs. Proofpoint

Email & insider-risk DLP with a GenAI extension — not a purpose-built AI firewall.

Positioning

Proofpoint leads email security and insider-threat detection, with a GenAI module added onto its information-protection suite. The GenAI piece is an extension of the email/web DLP model, not built around the prompt-then-response lifecycle.

Strengths

  • Strongest behavioral / insider-threat detection
  • Best-in-class email & unstructured-data classification
  • Established SOC integration
  • Deep US Fortune 500 footprint

Where BRANE differs

  • Pattern-on-payload, not semantics-on-conversation
  • GenAI module is a DLP extension, not an AI firewall
  • No rehydration layer
  • No own LLM inference

When to choose BRANE

Choose BRANE when LLM conversations are the dominant channel and you want a purpose-built interaction firewall, not a DLP suite with a GenAI extension.

BRANE vs. Local LLM Stacks

Inference solved, governance left to you.

Positioning

Ollama, vLLM + OpenWebUI and AnythingLLM solve self-hosted inference but leave security and governance to the customer. Guardrails are bolt-on building blocks you wire and maintain yourself.

Strengths

  • Full data sovereignty by design
  • Low software-license cost (mostly open source)
  • Maximum model choice
  • Battle-tested inference performance (vLLM)

Where BRANE differs

  • No hybrid routing for frontier-quality work
  • Guardrails are bolt-on, not architecture
  • Self-hosted means self-patched (CVE risk)
  • No Smart Rehydration; no appliance

When to choose BRANE

Choose BRANE when you want a tested appliance, hybrid quality (local default, cloud-on-demand with redaction) and DSGVO + EU AI Act audit readiness out of the box.

BRANE vs. Intric / Eneo

Apache-2.0 software for public-sector teams vs. a hardware appliance for regulated mid-market.

Positioning

Intric (Eneo) is a Swedish open-source sovereign-AI platform with strong public-sector traction. It is software only — the customer provides the compute.

Strengths

  • Public-sector trust in DACH + Nordics
  • Open source, EU-fundable procurement
  • Dedicated lead per implementation
  • Low entry barrier

Where BRANE differs

  • No hardware appliance — customer provides compute
  • No documented PII tokenization / firewall layer
  • No documented prompt-injection guard
  • Customer bears operational risk (patching, infra)

When to choose BRANE

Choose BRANE when you need a hardware-certified appliance (no compute team), must auditably prove PII / prompt-injection protection, or need a cloud bridge with tokenization.

BRANE vs. Langdock

Multi-tenant SaaS + workflow engine for large enterprises vs. appliance-first for mid-market.

Positioning

Langdock is a Berlin B2B SaaS with a strong DACH enterprise track record and a workflow engine. On-prem means your Kubernetes — and starts at 5,000 seats.

Strengths

  • Real enterprise track record in DACH
  • Four deployment models including on-prem
  • Workflow engine as a USP
  • Published pricing, fast time-to-value

Where BRANE differs

  • No hardware appliance — on-prem is your K8s
  • No documented AI-firewall / rehydration layer
  • On-prem minimum 5,000 seats — mid-market priced out
  • Cloud-first architecture (Azure-EU default)

When to choose BRANE

Choose BRANE when you are mid-market (50–500 users per site), need a physical box with GPU, or must auditably prove per-prompt routing with PII tokenization.

BRANE vs. deepset / Haystack

A builder platform for AI-engineering teams vs. an end-user product for everyone else.

Positioning

deepset makes Haystack, the established RAG framework, with a commercial enterprise platform and visual pipeline builder. You build RAG apps with it; with BRANE you give users a ChatGPT-equivalent with a firewall in front.

Strengths

  • Strongest RAG engineering depth
  • Air-gapped deployment supported
  • Visual pipeline builder for citizen developers
  • Large compliance portfolio (SOC 2, ISO 27001, HIPAA)

Where BRANE differs

  • No hardware appliance — customer delivers compute
  • Builder/developer platform, not an end-user product
  • PII tokenization / Smart Rehydration not a main feature
  • No dedicated prompt-injection guard advertised

When to choose BRANE

Choose BRANE when you want a turnkey on-prem box with chat + firewall + audit for employees, without engineering the pre-inference security logic yourself.

CONTACT

Let's get in touch.

Request a demo, book a workflow audit, or just say hello — we reply within one business day.

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