Solutions
Your most sensitive data should provide the most value, not the most risk.
Privacy Preserving Solutions
- Process and protect data in ways most people didn’t know is possible.
- Continue using and even increase the use of data in the face of tightening regulatory requirements.
- Mitigate the risk of known quantum threats.
- Execute private smart contracts and transactions on public or private blockchains.
Protect privacy and activate sensitive data even when shared with, or processed by, other organizations.
- Data-centric security - Apply security (encryption) directly to the data at all times, don’t rely on secure perimeters.
- Zero trust security framework - Assume no user or device can be trusted, regardless of whether inside or outside your network perimeter.
Secure Network Intrusion Detection
- Intrusion detection processing without revealing network topology, packet headers, or usage details.
- Improved security posture without privacy exposure, even in the event of a vendor breach.
Encrypted Multispectral ImagingTM (MSI)
- Distinguish objects that appear similar in the visible spectrum by analyzing their spectral signatures, including camouflaged targets, chemical compounds, and military vehicles.
- Real-time analysis within an Area of Operations without risk of exposing the detection model or mission objectives to uncleared operators or hostile forces.
Quantum Document ProtectionTM (QDP)
- Digital signature upgrade for legacy, digitally signed assets.
- Protect against future quantum threats.
Privacy-Enhanced Blockchain Acceleration
- Process private blockchain transactions at commercially viable speeds.
- Execute smart contracts in a timely manner without publishing conditions or participants.
- Minimize overhead to protect privacy and to maintain data security on either public or permissioned blockchains.
- Validate participant identities, and adhere to KYC / AML regulations while protecting privacy.
Encrypted Anomally Detection
- Monitor sensitive, mission-critical systems for deterioration and failure. Maintaining operational integrity while keeping activity private.
- Detect unusual, or even fraudulent behaviors while protecting the search and its indicators.
- Identify and alert on harmful events without leaking sensitive information or context.
Anonymized Machine Learning Object Identification
- Identify objects and targets of interest without revealing intent.
- Maintain subject privacy while verifying important subject features.
