Strategic Objectives
• Process sensitive data in untrusted cloud environments with zero exposure.
• Future-proof your security architecture against the threat of quantum computers.
• Unlock collaborative data analytics while maintaining strict regulatory compliance.
• Implement cutting-edge cryptographic primitives for real-world privacy applications.
The Core Challenge
Traditional encryption protects data at rest and in transit, but leaves it vulnerable the moment it is processed in the cloud.
01
The Dawn of Data-in-Use
02
The Quantum Threat Model
03
Foundations of Post-Quantum Security
04
Lattice-Based Cryptography
05
Learning with Errors
06
Fully Homomorphic Encryption (FHE)
07
Bootstrapping and Noise Management
08
The Brakerski-Fan-Vercauteren (BFV) Scheme
09
The CKKS Scheme
10
Ring Learning with Errors (RLWE)
11
Privacy-Preserving Machine Learning
12
Secure Multi-Party Computation (MPC)
13
Zero-Knowledge Proofs in the Quantum Age
14
Cloud Computing and Outsourced Data
15
Hardware Acceleration for FHE
16
Standardization and Global Protocols
17
Searchable Encryption
18
Differential Privacy and FHE
19
Application in Genomics and Healthcare
20
The Economics of Privacy
21
The Road Ahead: Beyond 2030
Explore Research Ecosystem
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