Highlights:

  • With the latest update, the Opaque Platform adds security measures to protect machine learning and AI models from unauthorized parties.
  • Opaque asserts its distinctiveness lies in the limited visibility of owned data.

Opaque Systems Inc., a secure data analytics startup, recently unveiled its Confidential Computing Platform updates to enhance how businesses interact with and analyze sensitive data using artificial intelligence and large language models.

The platform upgrades use zero-trust “data clean rooms” and privacy-preserving generative AI to let organizations cooperate in analyzing their shared confidential data without disclosing the raw data. Data clean rooms, also known as DCRs, are private spaces that protect the confidentiality and privacy of the data by enabling multiple parties to analyze and draw conclusions from their combined data without directly disclosing or sharing the raw data with one another.

With the latest update, the Opaque Platform adds security measures to protect machine learning and AI models from unauthorized parties. At the same time, they operate on encrypted data inside TEEs or trusted execution environments.

Regarding the Opaque Platform’s DCR capabilities, queries can be run on encrypted data without jeopardizing its confidentiality thanks to secure, multi-party analytics on fully encrypted confidential data stored in TEEs.

The improvements in Opaque Systems’ Confidential Computing Platform benefit advertisers and marketers, enabling various advertising agencies or marketing firms to collaborate on sensitive consumer data to measure the success of ad campaigns and provide personalized consumer targeting and measurement.

Opaque claims that the distinguishing feature of its strategy is that each party can only see the data they directly own, even though the combined data can be analyzed to produce insightful learnings. Without running the risk of disclosing private raw data to unauthorized parties, it is possible to generate insightful cross-organizational knowledge while maintaining the confidentiality of each party’s data.

Co-founder and Chief Executive of Opaque Systems, Rishabh Poddar, added “The challenge with traditional DCRs in the cloud is that customers have to trust that their DCR provider, and the other parties analyzing the data, will not inadvertently or purposefully gain access to the raw data being processed. With our new DCR offering, organizations can securely collaborate on data within their business ecosystem to tackle a range of important use cases – from detecting financial crime, identifying fraud, to enabling better marketing insights – while ensuring that their unencrypted, raw data is never exposed to anyone.”

The last time Opaque made headlines was in December, when it introduced a new platform with the most recent developments in confidential artificial intelligence and analytics. Data scientists can now secure and work together to perform collaborative analytics directly on this encrypted data thanks to a platform developed to open use cases in confidential computing.