Protect the People behind the Data
You can't breach data that isn't there!
Data & More helps organizations delete data that poses privacy or security risks. Enforcing GDPR since May 2018. Protecting data from AI since CoPilot
Trusted by 260+ organizations










































































































































The case for having less data
The new threat model
AI changed the rules
Model
Defense moved from network to data.
Neither firewalls nor access controls stop Copilot, Claude, or an MCP-connected agent from reading the file.
Speed
Human-speed risks became machine-speed.
An agent pulls millions of records in minutes. The breach is over before the SOC alert fires.
Reach
Every AI compounds the exposure.
HR-AI, CRM-AI, Office AI, agentic workflows, all reading the same uncleaned data.
Remedy
Deal with it.
Move it to a controlled location, or delete it. No third strategy scales at machine speed.
See implementationWhy have less data
Why GDPR make less data a legal requirement
The law
It’s already a legal requirement.
GDPR Article 5 doesn’t just say “protect personal data.” It says you may only keep it for as long as you need it — storage limitation — and you may only collect what you actually need — data minimisation. Holding personal data without a purpose isn’t a grey area. It’s illegal. Less data isn’t a strategy. It’s the rule.
DSARs
Every record is a future request.
A Data Subject Access Request requires you to find, compile, and produce every piece of personal data you hold on one person — within a calendar month. Right of Erasure and Right of Rectification work the same way. The smaller your data footprint, the faster, cheaper, and lower-risk every request becomes. A lean archive answers in days. A bloated one misses deadlines and produces wrong answers in court.
Breach scope
Less data, smaller breach.
Fines, notification obligations, and reputational damage all scale with what was in the breach when it happened. Article 33 gives you 72 hours to notify the supervisory authority. Article 34 may require you to notify every affected individual. The volume in those notices — and the fine that follows — is set the day before the breach. Verified deletion shrinks that number every day.
Why have less data
Security's case for having less data at risk.
Security Documents
Pentests don’t belong in inboxes.
Penetration tests. Network diagrams. Vulnerability reports. Architecture documents. Incident playbooks. Credentials in screenshots. The documents that describe exactly how to attack your environment are sitting in mailboxes, Teams channels, and SharePoint sites — emailed once, shared once, forgotten forever. Every copy is a roadmap waiting for the wrong reader. Security data should be locked down. Most of it isn’t.
AI Access
AI wants your source code.
The same Copilot, RAG pipeline, or internal LLM you’re shipping with is also indexing your repositories, design docs, and security review notes. Once that data is in the model’s context, it surfaces to anyone who can ask the right question. AI doesn’t distinguish between code you want it to help with and credentials it should never have seen. The fix isn’t smarter AI — it’s less data in front of it.
Access Sprawl
Most people shouldn’t have access. Most do.
Confidential strategy decks, M&A files, HR records, salary data, customer PII. The access lists are far longer than the org chart suggests. Role changes leave permissions behind. Inherited shares come in through acquisitions. “Share with the team” turns into “share with anyone who ever joined the team.” The number of people who can reach restricted data is always higher than anyone thinks. Deletion is the only audit that gets it back to reality.
Introduction to the Privacy & Security Platform
AI-generated overview of the Data & More Privacy & Security Platform
Free assessment
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- 01What volume and percentage of documents in the organization contain personal data that may be non-compliant with GDPR?
- 02What types of personal sensitive data are most commonly found across the organization's unstructured data?
- 03How old is the non-compliant personal data retained by the organization?
- 04Which user accounts or departments hold the largest share of privacy risk?
- 05Is the volume of non-compliant data in the organization increasing over time?
- 06What is the average number of non-compliant documents per user account?
- 07How does the organization's compliance rate compare to industry benchmarks?
- 08What are the trends in data production versus the creation of privacy-risk data?
- 09How many unique individuals (data subjects) are exposed through retained data?
- 10Which documents in the organization affect the highest number of data subjects?
- 11How much personal sensitive data has been shared via email or external channels?
- 12What are the most common categories of documents containing personal data?
- 13Which types of GDPR-sensitive data (e.g., health, political, union) are detected?
- 14What is the estimated annual financial risk due to privacy non-compliance?
- 15What criteria define non-compliant personal data within the organization?
- 16What types of documents pose significant IT security risks to the organization?
- 17Which file types most often contain privacy or security-sensitive data?
- 18How is security-sensitive information distributed across users or departments?
- 19What techniques and tools are used to identify and classify risky data?
- 20How do the organization's data management practices affect operational, financial, and reputational risk?
Customers
Real outcomes across regulated sectors
Aviation
Dark Web Data Breach Analysis
A ransomware attack resulted in customer data appearing on the dark web. Data & More scanned encrypted networks to identify and accurately determine leaked personal and sensitive data — saving consultant costs and enabling rapid customer communication.
Enterprise
File Share Custodian Mapping
A leading Danish organization faced cleanup of millions of files across servers from current and former employees without formalized ownership protocols. Data & More conducted comprehensive content scanning, classification, GDPR compliance assessment, and established a new custodian framework for file drive ownership while deleting irrelevant data.
Public Sector
Municipal Sensitive Data Accumulation
A municipality accumulated personal and sensitive citizen information through email case handling without proper archival or GDPR compliance over many years. Data & More deployed a solution enabling employees to access summaries of non-compliant emails dating years back, empowering efficient resolution.
Enterprise
Executive Support for DPO Initiatives
Larger EU organizations require Data Protection Officers for compliance but struggle to obtain support and budget. Data & More helped DPOs through automatic fact-based scanning of email accounts, providing concrete evidence to secure executive backing for privacy initiatives.
Less data. Less risk.
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