Keep it confidential.
Text Encryption
Protect sensitive text across your applications and workflows.
Unified Data Security Platform
Data
Under
A unified data security platform that protects how your data is stored, used, and shared across people, organisations, applications, and AI.
Capabilities
Your data moves. Your control stays.
Encrypt text and files, share them securely, and govern what your AI remembers and reuses, so sensitive data stays protected wherever it goes.
Seal your files.
File Encryption
Encrypt files containing sensitive personal and business information.
Share with confidence.
Secure Sharing
Share sensitive information securely with the right people and systems.
Secure what you store, share, and ask AI.
Start with the protection you need. Combine capabilities as your requirements grow.
Your apps
Web, mobile and internal tools
Ciphertext
Database
SQL or NoSQL Databases
Selected fields are encrypted in your application before they are written, so a copy of the database holds ciphertext for those fields.
Field Level Encryption
Encrypt chosen fields before they reach the database.
- Sensitive fields are encrypted with AES-256-GCM in your application before they are written to the database.
- Envelope encryption keeps data keys separate from the key that wraps them, which supports key rotation.
- Only the fields you select are protected. Other fields, and anyone who holds your keys, are outside this.
Secure Sharing
Encrypt before content reaches platforms you do not control.
- With the browser extension, messages and selected spreadsheet cells are encrypted on the sender's device before they reach the platform.
- The platform stores ciphertext, and authorised recipients decrypt it locally on their own devices.
- Metadata, such as sender, recipient and timestamps, stays visible to the platform.
File Encryption
Encrypt files before they are stored in the cloud.
- Files are encrypted before upload, so your cloud provider stores ciphertext instead of readable files.
- Keys are managed separately from storage, so access to a bucket or backup alone does not reveal the contents.
- File size and access patterns may still be visible to the provider.
AI Memory Management
Send the model relevant context, not everything.
- Relevant notes are selected and attached to each request, instead of sending the full stored history.
- Sending fewer tokens lowers cost and latency. The saving depends on your data and prompts.
- Selection is automated and can miss relevant context, so review it for critical workflows.
AI Guardrails
Mask sensitive data and block known attack patterns.
- Detected sensitive values, such as names, card numbers and emails, are masked before the prompt leaves your system.
- Prompts that match known injection patterns are blocked before they reach the model.
- Detection is not perfect and can miss values or flag harmless text, so use it as one layer of defence.
Data Security built for global compliance.
Reduces unnecessary plaintext exposure. Select a provision to read what it says.
- Names encryption
GDPR Art. 32
Security of processing
gdpr-info.eu · read for referenceRegulation (EU) 2016/679, Art. 32(1)(a)…the controller and the processor shall implement appropriate technical and organisational measures to ensure a level of security appropriate to the risk, including inter alia as appropriate: the pseudonymisation and encryption of personal data;
Architected to support GDPR, HIPAA, PCI-DSS and DPDP compliance. These are the provisions Cipherion's controls are designed to help you meet; they are not a certification. Excerpts are for reference, so check the linked source for the current text.
More than 0.00M + records encrypted