Home / Safety / Veeva Vault AI for the pharmaceutical industry
Veeva Systems (Pleasanton, United States)How safe is Veeva Vault AI for the pharmaceutical industry?
The maker of Veeva Vault AI publishes little about data protection. Check this before you put confidential pharmaceutical industry data into it.
Where does Veeva Vault AI stand in the pharmaceutical industry?
Shared spot 16 of 25 options for the pharmaceutical industry (professional tools and general assistants) on the GDPR profile. 3 options, like Veeva Vault AI, have an unknown profile. Each tile is an option we track for this field; click for the check.
Published safeguards
None of these three found in what the provider publishes; you can read what is there below. Is this your tool? Add the details
Vault AI Agents use models from Anthropic and Amazon via Amazon Bedrock; your own agents can also use models hosted by Veeva or your own models on Bedrock or Azure AI Foundry. Whether customer data is used for training is not stated on the product page.
How to use Veeva Vault AI safely
- Use the business variant and sign a data processing agreement (DPA).
- Do not enter unnecessary personal data into prompts; anonymise where possible.
- Ask the provider explicitly where data is stored and processed.
- Keep a professional in the loop: in this sector it concerns health data of trial participants and patients (special category personal data under art.
Stronger or equally strong in the pharmaceutical industry
CradleCradle (Amsterdam, the Netherlands and Zürich, Switzerland)
CastorCastor (Amsterdam, Netherlands)
BiolevateBiolevate (Paris, France)
Aily LabsAily Labs GmbH (Munich, Germany)
ClaudeAnthropicLatest developments
If you choose "Yes, and don't ask again" in Claude Code, the tool saves the command verbatim in .claude/settings.local.json, including passwords or API keys. Apiiro found real secrets in 1,122 of 104,185 public copies on GitHub, including 379 database passwords. Keep the file out of git, use variables for secrets, and replace any keys that have already leaked. source
With message threads in the Claude API, Anthropic stores the conversation, the system prompt and the tools on the server, encrypted in memory and not on disk, until up to one hour after the last use. The feature does not qualify for Zero Data Retention; your other ZDR agreements still apply. If you work with personal data under ZDR, only enable threads if your DPIA covers it. source
From 26 October, the Swedish government office blocks ChatGPT and Claude on work computers because there is no formal contract and there are information security risks; Microsoft Copilot remains permitted. Business use therefore requires a contract with data processing terms. source
Questions
- How safe is Veeva Vault AI for the pharmaceutical industry?
- The maker of Veeva Vault AI publishes little about data protection. Check this before you put confidential pharmaceutical industry data into it. The provider publishes little on this, ask them before business use.
- Does Veeva Vault AI train on my data?
- Vault AI Agents use models from Anthropic and Amazon via Amazon Bedrock; your own agents can also use models hosted by Veeva or your own models on Bedrock or Azure AI Foundry. Whether customer data is used for training is not stated on the product page.
- What should I look out for with AI in the pharmaceutical industry?
- This sector involves health data of trial participants and patients (special category personal data under Article 9 GDPR) and confidential research data. Ask every provider where the data is stored and whether it is used to train models: Castor hosts in the Netherlands (Google Cloud europe-west4) and does not share data or models between customers, Cradle states that source data never goes to third-party AI models, Iris.ai hosts on AWS in Ireland and Germany. Biolevate and Ennov also run in private cloud or on-premises. With Veeva Vault AI and Yseop, texts go to Anthropic models via Amazon Bedrock; check the region and the data processing agreement. If you work in GxP processes, an AI tool must also be validated (EU GMP Annex 11) and a competent employee remains responsible. For AI in medicines development, the EMA has a reflection paper (2024) and is working with the FDA on joint principles.
Source documents
All about Veeva Vault AI Best AI for the pharmaceutical industry
Summarised by the editorial team from provider documentation · not legal advice
Last checked: 3 November 2026 · How we check
Source: , checked on 3 November 2026
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