Comparisons
BRANE vs. the alternatives.
Others move the inspection into your environment. BRANE moves the evidence. Every classification, every redaction and every routing decision is logged at the boundary and can be exported. A perimeter you cannot prove is not one.
BRANE vs. ChatGPT Enterprise
Frontier models and a familiar interface. Data residency does not cover system data.
Positioning
OpenAI's Enterprise tier delivers frontier models and the familiar ChatGPT interface. For Europe, OpenAI documents both regional storage and regional inference. Its own docs state that data residency does not apply to system data.
BRANE vs. Microsoft 365 Copilot
Already where your people work. The EU Data Boundary has documented exceptions.
Positioning
Copilot sits where your people already work, and data stays in your own tenant. Flex routing can move inference out of the EU Data Boundary to the United States, Canada or Australia during peak demand. For tenants created after 25 March 2026 it is on by default.
BRANE vs. Google Gemini Enterprise
Mature region choice. Model Armor blocks, but does not mask.
Positioning
Google offers a mature region choice: Gemini Enterprise sets the location per app and data store as the `eu` or `us` multi-region. Model processing follows the region. CMEK and Access Transparency are not supported in the `global` region.
BRANE vs. Claude Enterprise
Strong long-context models. No EU residency in the first-party service.
Positioning
Anthropic delivers strong long-context models. There is no EU data residency for the first-party service: the docs list only `us` and `global` as inference regions.
BRANE vs. Traditional DLP
Mature data-channel suites with an AI add-on. The limits are in their own docs.
Positioning
Symantec, Forcepoint and Purview are mature DLP suites with AI extensions; Symantec and Zscaler now document redaction as well, not only blocking. The documented limits lie elsewhere: with Microsoft, DLP in Copilot only checks the text typed into the prompt, not the contents of files uploaded into it.
BRANE vs. Microsoft Purview
Strong Microsoft classification. Evaluation happens centrally in the service.
Positioning
Purview knows your data and your classifications. Prompt detection now exists in several places: server-side in the DLP location for Copilot, in Edge for Business without device onboarding, and network-side via Entra Global Secure Access as well as third-party SASE integrations.
BRANE vs. Proofpoint
Its own AI security line since March 2026, with an inline gateway.
Positioning
Proofpoint leads in email security and insider threat, and in March 2026 shipped a standalone AI security line: AI Access Security, Agentic AI Security and AI MCP Security, with an inline gateway, semantic evaluation and redaction at the gateway.
BRANE vs. Local LLM Stacks
Inference solved. Governance and operations stay with you.
Positioning
Ollama, vLLM with Open WebUI and AnythingLLM solve self-hosted inference. vLLM documents explicitly that communication between nodes is insecure by default and that a reverse proxy in front remains necessary.
BRANE vs. intric
Swedish sovereign-AI platform, as managed EU hosting by default.
Positioning
intric is a Swedish platform for sovereign AI, developed in Sweden and, per the vendor, in use at more than 60 organisations across the Nordics and Germany. The default is managed EU hosting by intric itself; on-premises and air-gapped are documented alongside it.
BRANE vs. Langdock
Multi-tenant SaaS with a workflow engine. On-premises from 5,000 users.
Positioning
Langdock is LLM-agnostic, hosted in the EU, ISO 27001 certified and SOC 2 Type II audited. Four deployment models up to on-premise, there on a Kubernetes cluster that you provide.
BRANE vs. deepset / Haystack Enterprise Platform
A platform for agent and RAG development. You provide the end-user interface.
Positioning
deepset builds Haystack, the established open-source framework, and on top of it the Haystack Enterprise Platform with a visual pipeline builder. You build agents and RAG applications with it; the interface for end users is yours to provide.
BRANE vs. WitnessAI
The closest competitor in the field. Prompt inspection before the model.
Positioning
WitnessAI works at the network layer, without a browser extension and without an endpoint client, and inspects prompts before they reach the model. The documented delivery paths are network connectors, Witness Anywhere and API.
BRANE vs. Check Point AI Security
An LLM firewall, part of the Check Point stack since October 2025.
Positioning
Lakera was one of the leading AI-native security platforms. Check Point closed the acquisition on 22 October 2025 for approximately $190 million net. The product is now called Check Point AI Guardrails within the Check Point AI security line.
BRANE vs. Cloudflare AI Gateway
A gateway in front, quick to set up. And in someone else's network.
Positioning
Cloudflare puts a gateway in front of your model calls, with guardrails and DLP that inspect prompts and responses. Core features and DLP are free, guardrails are billed per token. The prompt travels through Cloudflare's network to get there.
The comparison
Six questions every control layer can be measured against.
The same six criteria for every category, filled in from what the vendors document themselves. Where a vendor states nothing, it says so — rather than carrying a cross.
| Criterion | BRANE | Cloud AI services | DLP and CASB | AI gateways | EU platforms | Local LLM stacks |
|---|---|---|---|---|---|---|
| You get the real names and figures back in the answer | Yes | No | No | No | No | No |
| Confidential requests are answered in-house instead of refused | Yes | No | No | No | No | No |
| Inspects attached files and images too, not just the typed text | Yes | No | No | No | No | No |
| Inspects what the AI sends back as well | Yes | Yes | Yes | Yes | No | No |
| Runs on your own servers, not at a provider | Yes | No | No | No | Yes | Yes |
| Spots confidential content by meaning, not just by keyword or number format | Yes | Yes | Yes | Yes | No | No |
You get the real names and figures back in the answer
- BRANE
- Yes
- Cloud AI services
- No
- DLP and CASB
- No
- AI gateways
- No
- EU platforms
- No
- Local LLM stacks
- No
Confidential requests are answered in-house instead of refused
- BRANE
- Yes
- Cloud AI services
- No
- DLP and CASB
- No
- AI gateways
- No
- EU platforms
- No
- Local LLM stacks
- No
Inspects attached files and images too, not just the typed text
- BRANE
- Yes
- Cloud AI services
- No
- DLP and CASB
- No
- AI gateways
- No
- EU platforms
- No
- Local LLM stacks
- No
Inspects what the AI sends back as well
- BRANE
- Yes
- Cloud AI services
- Yes
- DLP and CASB
- Yes
- AI gateways
- Yes
- EU platforms
- No
- Local LLM stacks
- No
Runs on your own servers, not at a provider
- BRANE
- Yes
- Cloud AI services
- No
- DLP and CASB
- No
- AI gateways
- No
- EU platforms
- Yes
- Local LLM stacks
- Yes
Spots confidential content by meaning, not just by keyword or number format
- BRANE
- Yes
- Cloud AI services
- Yes
- DLP and CASB
- Yes
- AI gateways
- Yes
- EU platforms
- No
- Local LLM stacks
- No
What the columns stand for
- Cloud AI services — ChatGPT Enterprise, Microsoft 365 Copilot, Google Gemini Enterprise, Claude Enterprise
- DLP and CASB — Microsoft Purview, Zscaler, Symantec
- AI gateways — Cloudflare AI Gateway, Check Point with Lakera, WitnessAI, Proofpoint
- EU platforms — intric, Langdock, deepset
- Local LLM stacks — vLLM, Ollama, Open WebUI
A check means met. A cross means not met, or not publicly documented by the vendor.
Comparison based on publicly available vendor documentation. Every row is checked against the respective vendor's own documentation. Retrieved 15 September 2026