Building confidence in cyber systems
Why having confidence in computing matters
Imagine having the assurance that your cyber technologies and services function exactly as you intended. How would that capability benefit you?
Confidence in the cloud
Data and algorithms in public clouds (or cloud infrastructure, broadly) will be protected even from the service provider.
Confidence in AI
Train across multiple data spaces while adhering to fine-grained, bespoke data policies. And, assured, customized licensing of trained models.
Confidence in integration
Confidentiality and integrity of proprietary data and information in heterogeneous, multi-vendors environments. E.g., a smart factory floor.
Confidence in systems
Cyber systems, including edge devices, networks, and actuators behave according to control and safety policies. E.g., from neurosensors to motor control.
Confidence in collaboration
Security and privacy for collaborations are guaranteed up front. Fine-grained, customized access control for sensitive data. E.g., distributed data spaces ecosystem.
Confidence, derived from cryptography and hardware-based security
A safe and secure cyber system performs expected functions correctly, protecting the confidentiality, integrity, and availability of information in accordance with explicit security policies; it does not interfere with, and is also protected from, “adjacent systems;” and it operates with ease of use and appropriate transparency for human operators and users.
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Reasons for systems misbehaving include bad actors, design flaws, and unsafe users. Therefore, true security requires that confidentiality and integrity must be guaranteed up front, baked into hardware and enforced by cryptographic-quality primitives.
Confidential computing (CC) leverages both cryptography and hardware-based security to provision high reliability root-of-trust (e.g., fuse banks), and minimize the trusted-computing-base (e.g., removing even the system administrator from the TCB.)
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Confidential computing provides security guarantees that are competitive with cryptographic approaches such as MPC and FHE; yet, by leveraging hardware enclaves, CC is flexible to support diverse applications across different hardware platforms - i.e., significantly better usability.
At Datica Research, we build the scaffolding necessary to scale confidential computing and, leveraging leading cryptography expertise, deliver high quality and accessible enterprise security solutions.
Where is confidence computing needed?
55B+
IoT and connected devices
500K+
AI models training on private data
$1T+
Cloud computing industry
$250B+
Smart manufacturing industry
-> inf.
Collaborations across jurisdictions & domains
We're moving quickly!
Datica Research is working to prove confidence computing. Get in touch to start a conversation on how cryptography and hardware-based security can protect your enterprise.