Privacy starts in the code.
Privya.ai was established to introduce a fresh wind of change to the paradigm of the existing approach assigned to Privacy Compliance and Data Protection, yet done in a manual, post-production approach, which is too late and too expensive!
Our claim to fame is that data Privacy starts in the code.
Today, software-based companies, which collect PII for their own needs, are required to follow common privacy laws such as GDPR/CCPA and privacy frameworks, such as NIST among others. The main issue still is that privacy programs and policies are driven by chief privacy officers or data protection officers, yet executed by SW engineers, who are not privacy-focused.
The unique Privya.ai approach looks into privacy from your code, as early as possible in the SW development life cycle, as part of a shift left privacy approach, which will allow you to bake in privacy as an integral part of your SDLC, in an automated and coherent way as part of your CI/CD pipeline.
Avoid costly mistakes and non-accurate interview-based assessments which are handled too late in post-production.
Privya.ai was established to introduce a fresh wind of change to the paradigm of the existing approach assigned to Privacy Compliance and Data Protection, yet done in a manual, post-production approach, which is too late and too expensive!
Our claim to fame is that data Privacy starts in the code.
Today, software-based companies, which collect PII for their own needs, are required to follow common privacy laws such as GDPR/CCPA and privacy frameworks, such as NIST among others. The main issue still is that privacy programs and policies are driven by chief privacy officers or data protection officers, yet executed by SW engineers, who are not privacy-focused.
The unique Privya.ai approach looks into privacy from your code, as early as possible in the SW development life cycle, as part of a shift left privacy approach, which will allow you to bake in privacy as an integral part of your SDLC, in an automated and coherent way as part of your CI/CD pipeline.
Avoid costly mistakes and non-accurate interview-based assessments which are handled too late in post-production.
Employees: 11-50
Total raised: $6M
Investors 1
| Date | Name | Website |
| - | Transolam | transolam.... |
Funding Rounds 1
| Date | Series | Amount | Investors |
| 09.08.2022 | Seed | $6M | Hyperwise ... |
Mentions in press and media 3
| Date | Title | Description |
| 20.12.2022 | Employee offboarding: A data privacy and compliance primer for HR and IT | Check out all the on-demand sessions from the Intelligent Security Summit here. The issue of data privacy has risen in priority as the volume of data breaches multiplies — along with the implications for organizations and HR departments. Af... |
| 09.08.2022 | Privya helps companies protect data at code level before it goes into production | As data privacy laws proliferate, it’s becoming increasingly important for companies to protect sensitive data in their applications. Privya was born with the idea that privacy protection should happen at the code level in development befor... |
| 09.08.2022 | Privya Raises $6M in Funding | Privya, a Tel Aviv, Israel-based provider of a data privacy code scanning platform, raised $6M in funding. The round was led by Hyperwise Ventures. The company intends to use the funds to accelerate growth, expand operations and its busines... |