The NIST contest has not been the only government-led effort to discover qunatum-resistant algorithms. In this episode we describe South Korea's PQC contest, which is entirely independent of the NIST contest.
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In this second of two episodes, we finish our discussion of Scientifically Relevant Quantum Computers (SRQC) and their implications.
We define a new term, Quantum Security Posture Management (QSPM) and explain what it is and why it's important for PQC plans.
In this first of two episodes, we discuss the expected scientific applications for quantum computing architecture and the idea of a Scientifically Relevant Quantum Computer (SRQC).
Quantum Key Distribution (QKD) is supposed to be this highly secure method of key exchange. But is it as secure as people say? We explore the potential weaknesses with QKD.
We follow up on the recent Mythos attack against PQC candidate HAWK. We discuss the impact of this attack on both HAWK and FALCON.
TLS certificates from CA/Browser Forum CAs are not the only server certificates in the WebPKI. eIDAS QWACs are treated as server certificates by the major browsers. We see clear progress toward post quantum cryptography (PQC) for TLS by way of the Merkle Tree Certificate (MTC) architecture. But what is the path to PQC for eIDAS? We examine this question.
As certificate lifespans become extremely short, new methods of delivery become functionally necessary. We explain RFC 9345 and how delegated credentials play a role in CDNs to deliver very short-lived certificates.
With certificate lifespans shortening, we occasionally run into those who disagree with this trend and seek to lengthen maximum term once again. We examine regressive attitudes in PKI, why they occur, and the reasons that lessening security is generally a bad policy.
X9 is a consortium certificate for interbanking applications. There is a common misunderstanding that X9 certificates are a public-trust surrogate for mTLS using WebPKI certificates. We clarify why this is not the case.
"Chaos engineering" describes the practice of injecting faults into a system to see what happens. This is a known strategy for deterministic systems, but with the advent of non-deterministic AI systems, chaos engineering has taken on greater importance.
Since frontier-model AIs have been trained on a large portion of published human knowledge, widespread publication of incorrect information can taint AI results. As more AI-generated slop finds its way onto the internet, this runs the risk of further poisoning AI results. This ultimately can result in completely unusable information.