Huge news to share! @TechCrunch named us one of the top privacy and security #StartupBattlefield companies 🙌. TechCrunchDisrupt2024! 👉 https://bit.ly/4g43wVk

Data Protection Services within Cloud, on-premise using encryption at field level or token level for AI environments.

CIPH3R’s products secures databases, files or AI environments. The solution uses NIST-certified FF3-1 and AES-256 encryption to store data while preserving the format so that the application can still consume the data without breaking any application logic.

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Discover the Key Features Of Our Solution

Improve your data security with little to no impact to performance of the application. It is ideal for non-prod environments where there is likely to use production data in lower environments to test the product in UAT or Staging

  • Meet compliance controls
  • Meet any organization wide security mandates
  • Mitigate Brand Reputation Risks
  • Protect data deployed on public cloud or unsecure environment
  • Safeguard data from internal/external threat
  • Availability of meaningful data for Data/BI Analyst
  • Data-de-indentification using Format Preserved Algorithm that will help preserve underlying data formats
  • Re-identification of data that is encrypted using Format Preserved Algorithm
  • Bring your own data encryption key
  • Support field level tokenization (FPE) for databases such as Snowflake, BigQuery, AWS Redshift, etc. using CIPH3R connectors
  • Re-identify data stored in database such as Snowflake, BigQuery, AWS Redshift, etc. using CIPH3R connectors
  • CIPH3R connectors can be used along with Gen AI tools such as LangChain for data privacy
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Opportunities where CIPH3R products can be used

Top Opportunites for your organization

  • Protect your data while migrating to the cloud
  • Avoid Data Breaches, to safeguards from data leaks
  • Eliminates Insider Threats (data analyst/developers/operation analyst/test-analyst)
  • Avoid costly encryption that makes testing functionality of the application complex/tedious
  • Works on existing systems and publicly hosted SaaS product where customer data is stored
  • Supports data privacy for Generative AI, tokenizes data using FPE (or redact/mask/hash) before sending payload to training model
  • Protects sensitive data in documents, identifies and encrypts PII data such Credit Card numbers, SSN, Names etc.,
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Solution Highlights

Agile Solution that can easily fit into your IT landscape

  • JIT (Just in Time) encryption/decryption using FPE(Format Preserved Encryption)
  • Configuration driven deployment (fast and agile)
  • Highly performant and scalable APIs as well as bulk transformation pipelines
  • Bring Your Own Key for Tokenization using FPE
  • Supports cloud native deployment such as kubernetes/containers
  • Supports deployment on cloud such as GCP, AWS, Azure, OCI, etc.,
  • Encrypts data inside data lakes, data warehouses, databases, objects, and files (csv, parquet files etc.,)
  • Maintains protected data’s referential integrity
  • Data scientists can use Jupyter notebooks without worrying about security risks
  • Secure Stateless tokenization Solution
  • Secures GenAI environments by protecting sensitive AI data in vector databases through encryption of sensitive tokens while maintaining functionality

Events/Announcements

Out of thousands of applicants, @TechCrunch chose us as a top privacy and security #StartupBattlefield company 🙌. We’ll be one of only 200 startups exhibiting at #TechCrunchDisrupt2024! So much time and sweat equity goes into building a startup, and we’re incredibly proud to achieve this milestone and receive this recognition!