Stop attackers from stealing your data!
Using Machine Learning Models tailored to your Organisation's unique data environment
Start training your Machine Learning Models today to avoid future data breaches
Immediately know if a user data access is a potential threat.
- Monitor data from inside your Application
- Track connections to sensitive data by your users
- Focus only on data that has been identified as sensitive
- Remove false positives that are inherent in network activity
Get more accurate at breach detection using Machine Learning
- Harmonize collected data to start training your algorithm
- Collect data access information per individual user and user group over time
- Create custom-made alerts to start training your machine learning models
- The more data you collect the better algorithms become at detecting an attacker
As attacks get more sophisticated, Organisations will need intelligent solutions to protect their Data
of attackers have legitimate data access credentials *
Privata.ai monitors data from within Webapps tracking users behaviour to detect suspicious data activity
of the attacks go by unnoticed *
Privata.ai applies Machine Learning to make sense of the vast amounts of data access information and discover real privacy threats
of attacks target Customer and Employee Information *
Privata.ai harmonizes collected data in order to remove the noise from normal network activity
* Source: McAfee Report Grand Theft Data (https://www.mcafee.com/enterprise/en-us/assets/reports/rp-data-exfiltration.pdf)
How to get started in 5 steps!
- Schedule a Free Assessment
- Initial Meeting to learn about your applications and systems
- Choose Application(s) to start monitoring
- Integration period
- Pilot to start gathering real data
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