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Shadow Data: The Risk You’re Not Tracking
Big Pharma's $240B White Flag Is One Startup's Ticket
Big Pharma spent decades and billions trying to solve osteoarthritis, a $500B market they’ve never cracked.
Thankfully, Cytonics figured out why they keep failing: joints are attacked by multiple culprits at once, and Big Pharma only ever went after one at a time.
So Cytonics discovered a way to get them all, creating the first therapy with the potential to actually address the root cause of osteoarthritis at the molecular level. It’s already proven across 10,000+ patients. Now, they’re pushing toward FDA approval on a 200% more potent version that can be manufactured at scale.
The first human safety trial is already complete with zero adverse events. If approved, the more than 500M osteoarthritis patients worldwide could have their long-needed solution.
Big Pharma created this opening. Now Cytonics is prepared to seize it.
Data Spreads Faster Than Controls
Files get downloaded, shared, copied to USB drives, synced to personal clouds. Once data leaves its original system, tracking often stops.
SaaS Platforms Multiply Data Copies
CRM exports, HR reports, finance spreadsheets — all duplicated across tools. Each copy increases the breach surface.
Collaboration Tools Store Sensitive Conversations
Slack threads, Teams chats, shared docs — sensitive information lives in places rarely included in formal data classification.
Are you tracking agent views on your docs?
AI agents already outnumber human visitors to your docs — now you can track them.
Backups and Archives Hide Old Exposure
Even deleted files often live in backup systems. Shadow data persists silently for years.
Employees Create Unofficial Repositories
Personal Notion spaces, Google Drives, local folders — convenience leads to uncontrolled data sprawl.
Data Mapping Must Be Continuous
Run regular discovery scans. Classify sensitive information. Reduce unnecessary duplication. You can’t protect what you don’t know exists.
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