MANIFESTO
Your company is leaking.
Every day, your employees paste customer names, deal values, and strategic plans into AI assistants. It's not malice—it's momentum. And current solutions make the problem worse.
The uncomfortable truth
AI tools are no longer optional. They're how your team writes proposals, analyzes data, drafts communications, and gets work done. Blocking them isn't realistic—your competitors aren't.
But every prompt is a potential leak. Every "summarize this contract" might include client terms. Every "draft a response to this customer" might contain PII. Every "analyze these numbers" might expose your strategy.
The average employee sends dozens of prompts per day. That's dozens of opportunities for sensitive data to leave your network.
The current "solutions" are broken
The security industry's answer? Cloud-based DLP. Send your data to a third party who scans it, stores your raw prompts, logs every word, and then forwards it to the AI provider.
Think about that for a second.
To protect your sensitive data from being exposed... you hand the unredacted version to another vendor first.
Now two companies have a copy of your raw secrets—two databases of unredacted data to breach, two vendors who can see your most sensitive information. The DLP tool that was supposed to protect you becomes another attack surface.
Your raw, unredacted data now sits in their database — another attack surface you don't control.
The question that matters: what gets stored?
We built Tenlines on a simple principle: your original, unredacted data should never be persisted as a side effect of protecting it.
The problem with cloud DLP isn't that compute happens somewhere else. It's that your raw, unredacted data gets stored somewhere else—logged, indexed, retained. That's the breach surface. That's the subpoena target. That's the risk.
Tenlines works differently. Whether you run our gateway locally or use our managed infrastructure, the architecture is the same: your original data is scrubbed before it's logged, and everything is envelope encrypted — each record gets its own data key via AWS KMS.
Your prompts are scrubbed before they're logged. Scrubbed audit logs and token mappings are envelope encrypted with per-record keys via AWS KMS. Original, unredacted data is never persisted.
Token mappings—the keys that reverse scrubbed data back to the original—are encrypted and stored in AWS for long-running conversation persistence.
Define what's sensitive for your organization. Set your policies. The protection runs by your rules, whether on your hardware or ours.
Every redaction is logged and encrypted at rest. Audit what was caught, what was sent. Full transparency with a complete audit trail.
Zero-exposure architecture
Most security tools need your data to do their job. They ingest it, analyze it, store it, and build a profile. That's their business model—your data becomes their asset.
Tenlines scrubs your sensitive data before it leaves. Your original, unredacted data is never stored — not by us, not by anyone. Scrubbed audit logs are encrypted at rest, giving you full compliance visibility without exposure. No profiles. No training on your prompts.
Your sensitive data is never persisted. Scrubbed logs are encrypted. If the original isn't stored, it can't be stolen.
Sensitive data scrubbed. Logs encrypted at rest. Mappings encrypted in AWS.
We believe the next generation of security tools won't need your raw data to protect it. They'll scrub first, encrypt everything, and never persist the original.
That's what we're building.
Take control of your AI risk
Stop handing your sensitive data to vendors who store it. Start protecting it without creating copies.