BIOTECH & LIFE SCIENCES · R&D DATA PROTECTION

Let Scientists Use AI Without Leaking Your Pipeline

Researchers paste compound data, sequences and trial results into AI to work faster. Wald reads the context of every prompt on the device and stops unpublished R&D and participant data before it reaches ChatGPT, Claude, Gemini or Copilot.

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Built for life sciences:

Trade secretsGDPRHIPAAICH GCPAudit logs
Biotech and life sciences AI DLP: Wald blocks compound data, sequences and trial data on the device before they reach ChatGPT, Claude, Gemini or Grok

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WHY AI IS THE NEW IP RISK

AI Is Now the Easiest Way Unpublished Research Leaves the Lab

ELNs, LIMS and file shares have access controls. AI prompts don't. Scientists paste whole results tables into a browser tab, often from personal accounts, and legacy DLP never sees it.

#1

GenAI is now the top channel for corporate data moving to personal accounts, carrying 32% of it.

77%

of employees using GenAI paste data straight into prompts.

82%

of those pastes happen in unmanaged personal accounts your tools can’t see.

Source: LayerX, Enterprise AI & SaaS Data Security Report 2025

L
Leo · Research scientistFree ChatGPT · personal account · Fri 6:58 PM
TYPICAL SCENARIO

Help me write the results section for our draft paper. Compound WX-2291 cut tumor volume by 87% in mouse xenografts at 10 mg/kg. Structure: CC(=O)Nc1ccc(O)cc1F. We plan to file the patent in Q2.

Unpublished R&D in one prompt: Compound IDEfficacy dataDoseStructureFiling plans

What just happened

  • Unpublished results shared with a third party outside any NDA
  • Trade secret protection now rests on ‘reasonable measures’ you can’t prove
  • Patent counsel can no longer say the invention stayed confidential before filing
No PII, no fixed pattern. Only context shows this is your most valuable data.
GDPR · TRIAL PARTICIPANT DATA
4%

of global annual turnover, or €20 million if higher: the top GDPR fine tier. Trial participant data pasted into an AI tool is health data, a special category under GDPR.

Trade secretsProtection depends on taking reasonable measures to keep them secret
PatentsDisclosure before filing can put novelty at risk in absolute-novelty jurisdictions such as Europe

Why Employee AI Use Puts Biotech IP at Risk
‍

01

Your Most Valuable Data Has No Pattern

Compound structures, assay results and target hypotheses don’t look like SSNs. Pattern-based DLP was never built to see them.

02

Researchers Live in AI Tools

Scientists use AI to summarize papers, debug analysis code and draft grants. Bans just push it to personal accounts.

03

Trial Data Is Regulated Data

Participant data carries GDPR, HIPAA and sponsor obligations, and it flows into protocol drafts and safety reports every day.

04

Partners Expect Proof

Pharma partners, CROs and investors ask how you protect IP. A policy document alone no longer answers the question.

The R&D Data Wald Protects

Life sciences’ most sensitive data rarely has a fixed format. These are the types that surface most often in AI prompts at biotech, pharma and life sciences companies. Wald detects each one on the device, by context, and you choose Allow, Warn or Block.

Discovery research

Early-stage data that defines your pipeline.

  • Compound IDs
  • Structures (SMILES)
  • Target hypotheses
  • Assay results
  • Lab notebooks

Sequence & genomic data

Biological designs pasted into analysis prompts.

  • DNA & protein sequences
  • CRISPR guides
  • Plasmid maps
  • Genomic datasets
  • Variant calls

Clinical trial data

Participant and safety data under GCP.

  • Participant IDs
  • Case report forms
  • Adverse events
  • Unblinded results
  • Site data

Regulatory submissions

Drafts that are confidential until filed.

  • IND drafts
  • CMC sections
  • FDA correspondence
  • Study reports
  • Regulatory strategy

Patient & health data

Special-category data under GDPR.

  • Diagnoses
  • Genetic results
  • Biomarkers
  • Medical history
  • Consent forms

IP & patents

Inventions that must stay confidential until filing.

  • Invention disclosures
  • Draft claims
  • Prior art notes
  • Filing dates
  • License terms

Manufacturing & quality

Process know-how that competitors would pay for.

  • Batch records
  • Process parameters
  • Formulations
  • Deviation reports
  • Supplier specs

Business & partnering

Deal and strategy information.

  • Partner deal terms
  • Valuations
  • Board decks
  • Investor updates
  • Pipeline strategy

Trade secrets stay protected only while you take reasonable measures to keep them secret. Today, that includes AI prompts.

Stop unpublished research before it reaches AI

Wald’s on-device models recognise compound data, sequences and trial information by context, so your pipeline never leaves the lab laptop inside a prompt.

  • Compound, structure & sequence detection
  • Trial participant & safety data
  • Context, not just pattern matching

Apply R&D policies with Allow, Warn, or Block

Set rules per data type, team and AI tool. Block compound and trial data outright, warn on partner names, and allow literature questions, so scientists keep the benefit of AI.

  • Per-data-type, per-team policies
  • Inline coaching before a block
  • Free and paid AI tools covered

Evidence for partners, auditors and regulators

Every AI interaction is logged with user, tool, data type and policy outcome, so you can show reasonable measures to protect trade secrets, answer partner diligence and investigate incidents fast.

  • Centralised audit trail
  • Exportable reports for diligence & audits
  • Per-user, per-tool records

An Enterprise AI Plan Alone vs. Wald for Life Sciences

Enterprise AI plan alone
With Wald
Unpublished R&D still leaves the lab
R&D data stopped on the device
Structures and sequences pass unchecked
Compounds and sequences recognised by context
No evidence of reasonable measures
Audit trail that backs trade secret protection
Covers only the one tool you license
Covers the AI tools scientists actually use
Jonathan Antonio
Wald enables our employees to safely leverage leading AI models so they can reduce the time they spend on manual tasks. Our traditional DLP was built for email and file transfers and not AI prompts. Wald gave us real visibility and control over how our employees use LLMs without slowing productivity.
Jonathan Antonio
Jonathan Antonio
Vice President of Infrastructure @Suki

Keep Your Pipeline Out of AI

Let scientists use AI, and keep the proof that your IP and trial data stayed protected. See how Wald fits your R&D environment in a 30-minute demo.

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3D illustration of Wald AI visibility and protection

Frequently Asked Questions

Talk to Sales

Is it safe for scientists to use ChatGPT with research data?

Not with unpublished data. Anything pasted into a public AI tool leaves your control, and consumer plans may use it to train models.

‍

Wald lets scientists keep using AI for literature, writing and code, while stopping compound, sequence and trial data on the device.

Can pasting research into AI affect patents or trade secrets?

It can. Trade secret protection depends on taking reasonable measures to keep information secret, and disclosure before filing can complicate patentability in absolute-novelty jurisdictions.

‍

Keeping unpublished R&D out of AI tools, with a record that you did, protects both.

Is an enterprise AI plan enough for a biotech company?

Enterprise plans typically stop the vendor from training on your data, but research data still leaves the device and is stored by a third party. They also cover only the tool you license, not the free tools scientists use on the side. Wald adds on-device detection and control across the AI tools your teams actually use.

Can Wald detect chemical structures and sequences?

Yes. Wald's on-device models recognise compound identifiers, structures such as SMILES strings, DNA and protein sequences, and assay results by context, not just format.

‍

You decide whether each type is allowed, warned on or blocked, by team and AI tool.

Which regulations and standards does Wald support in life sciences?

Wald helps you protect clinical trial participant data under GDPR and HIPAA, support ICH GCP expectations for trial data confidentiality, and show reasonable measures to protect trade secrets.

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Its audit trail also gives quality and compliance teams a record of AI use for partner diligence and audits.

How quickly can we roll out Wald across research teams?

Wald runs as a lightweight agent across browser and desktop, deployed through your existing MDM, so you can start seeing AI usage across research and clinical teams soon after rollout. We'll map out a deployment plan with you during your demo.

Helps you maintain:

SOC2 TYPE II
HIPAA
GDPR
ICH GCP
TRADE SECRETS