One of the factors behind the recent bitcoin selloff is some investors decided that crypto is vulnerable to security risks from the development of quantum computers. What seemed esoteric is now becoming material. AI poses its own set of challenges, not directly to cryptographic security but from deepfakes and other trickery.
The good news is that many firms are working on solutions, using algorithms that are designed to protect against post-quantum computing futures, and by continually reorganizing processes and protocols.
Robert “RoRo” Rogenmoser is CEO of Securosys, a Zurich-based cybersecurity company that develops hardware security modules (HSM) and cloud-based encryption solutions for financial institutions, enterprises, and governments. He has built a career around engineering and design for microprocessors and chip-related software for mobile phones, networks, and industrial and commercial applications.
Timecodes
0:00 - Robert “RoRo” Rogenmoser, Securosys
1:27 - How safe is on-chain finance from the advent of quantum computing? What’s Securoys doing? How do we know these “post-quantum” algorithms actually work?
6:05 - AI as a security threat: what we know and what we don’t
8:46 - Security in the nexus of digital assets and digital identity
9:57 - Hardware security models (HSM), early generation models and new, cloud-based models
14:57 - Enterprise hardware versus personal and portable crypto security
17:08 - HSM’s role in custody
19:28 - “Root trust” as a Swiss company
21:57 - What commercial drivers are behind HSM security, crypto native versus TradFi, finance versus corporate uses
26:08 - Securosys’s footprint
26:48 - Protecting data in a world of both 24/7 global markets and geopolitical fragmentation
