Sensitive Data Protection Software | Zivver
Detect and protect sensitive data
Enhance your email client to prevent data loss with machine learning-powered Business Rules and advanced encryption
What it does
Zivver Business Rules integrate with your email, alerting you when it's best to encrypt emails.
Failure to revoke sensitive information before sending emails is a common cause of data loss; hidden tabs in spreadsheets or misuse of bcc often sees data fall into the wrong hands. Zivver Business Rules can be tailored to your organization’s privacy policy. Zivver identifies sensitive data in the body and attachments of emails, and alerts users when to send their email securely.
- Prevent data loss and protect your organization’s reputation against the leading causes of data loss
- Empower employees to work securely, with handy guidance to build security best practice
- Work efficiently and without disruption; Zivver only intervenes when sensitive data is at risk
How it works
Enhance your email client with smart error detection technology
Zivver Business Rules are powered by machine learning, learning from user behavior and organizational privacy policies to detect sensitive data in the body and attachments of emails. Users are alerted if sensitive data is detected, so you can take action to either revoke or encrypt information before sending.
Business Rules tailored to your needs
Security for every sector
Financial data, healthcare information, passport and National Insurance numbers - Zivver Business Rules are customizable and can be tailored to your organization’s specific needs.
Working silently in the background of your email client, Zivver reads emails and detects sensitive information, notifying you if your email requires attention before sending.
In the moment security measures
Right-size your email encryption depending on the context
Notifications in real-time to the presence of sensitive data build awareness around security best practice and limit the possibility of data loss. Zivver recommends when to encrypt emails according to the sensitivity of data, enabling users to apply advanced encryption to revoke information with one click.
Enhance your email client
Combine machine learning with human error prevention tools
Zivver learns from user-behavior, delivering right-sized security protocols for each and every email. Combined with our data loss prevention tools, Zivver Error Prevention technology integrates seamlessly with Gmail and M365, empowering users to avoid accidentally sharing sensitive data.
Explore the platform
Close the other tabs. Zivver Secure Email platform provides a suite of secure integrations to power productivity:
Zivver Secure Email \Advanced email security to support compliance \Learn more
Over 10,000 companies email securely with Zivver
“It’s integral that we protect users from common mistakes, such as sending data to the wrong person. Zivver’s business rules notify employees of the presence of sensitive data, such as National Insurance numbers or financial information, prompting them to encrypt their email and double check the recipient is correct.”
Nick Lund, IT Project Manager
Calderdale Council
Frequently asked questions
Whatever you need to know, we’ve got the answers.
How does Zivver detect sensitive data in emails?
Zivver uses machine learning to analyze the content of emails and attachments in real-time. It identifies sensitive information, such as financial data, healthcare information, and personal identification numbers, and alerts users to take appropriate actions, such as encrypting the email before sending.
How does Zivver’s encryption work?
Zivver uses advanced AES-256 encryption to secure emails and attachments. This ensures that only the sender and intended recipient can access the content, keeping sensitive data secure both in transit and at rest.
Can Zivver be customized to fit our organization’s specific security policies?
Yes, Zivver's business rules are highly customizable. You can tailor them to align with your organization's privacy policies and specific needs. This includes defining what constitutes sensitive data and determining the appropriate security measures for handling it.