Privacy Engineering

Take control of your data. Your data is valuable but it is at risk. With the right approach, it’s possible to gain insights, share, and maximize the value of your data while preserving privacy. At Kudelski Security we understand the unique risks to enterprise privacy and realize the need for distinct, innovative, and data-centric solutions to manage the emerging risks.

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Addressing Privacy Risk

Privacy breaches are forever, which is why engineering privacy into your systems is essential. Beyond enabling trust and compliance, privacy engineering can also be a robust differentiator for your products and services. It enables processes, technologies, and solutions that foster transparency, predictability, manageability, and disassociability. Our offerings aim to preserve and enhance this trust through robust architecture assessments, and privacy-preserving encryption toolkits built to integrate with connected world we live in.

Enterprise Services

Tailored Design

We work closely with your architects to define, design and develop an end-to-end (data collection, usage, analysis, distribution, and deletion) privacy-enabled solution.
Assessment and Validation

Our world-class penetration testers and cryptographers assess your solution’s architecture, functionality, and code for possible privacy risks. Our comprehensive assessment reports provide world-class recommendations and actionable feedback.
Innovation Response

For special projects needing rapid response, we pull our top experts across device, data, and communication domains to solve your privacy challenges. We draw upon our experience and expertise to shape new frontiers for your business.
Tools and Solutions

Our privacy-preserving encryption toolkits and technologies provide you with the tools you need for actionable success in a hostile landscape. From our IoT platform to our DevSecOps tools, we preserve and enhance privacy in your ecosystem from chip to cloud.

Privacy Controls for Secure Data Processing

Secure Multiparty Computation

Collaborate/Share data with untrusted 3rd parties while preserving privacy
Differential Privacy

Protect individual privacy while understanding group patterns
Homomorphic Encryption

Perform computations over data while protecting confidentiality
Zero Knowledge Proofs

Prove compliance without revealing confidential information to 3rd parties
Trusted Execution Environments

Quickly analyze data without exposing it to the rest of the system