We name the ten enterprise environments and use cases that are most likely to be late adopters of post quantum cryptography (PQC).

Jason Soroko


Jason Soroko is a seasoned security technology innovator and Senior Fellow at Sectigo, where he leads customer-facing engagements, drives research, and spearheads strategic initiatives at both organizational and national levels. He also contributes to the development of intellectual property and consortium standards. As co-host of the award-winning “Root Causes” podcast, Jason educates professionals on the latest trends in PKI and cybersecurity twice a week. His core strength is bridging cutting-edge security methods with real-world operational needs, ensuring that businesses are equipped with practical, forward-thinking solutions.
Recent posts by Jason Soroko
We discuss the foundational importance of time in PKI and security in general. This includes when things happen, the order in which things happen, and attacks based on time-spoofing. We drill down on certificates, roots, timestamping, Certificate Transparency, patching, audits, and PQC.
In our concluding episode on the topic, we scrutinize arguments make for and against QWACs, this time focused on "compliance and interoperability."
In our second of three episodes on the topic, we scrutinize arguments make for and against QWACs, this time focused on "governance and sovereignty."
In our second of three episodes on the topic, we scrutinize arguments make for and against QWACs, this time focused on "governance and sovereignty."
As a follow up to our episode 546, we break down the first of three sets of arguments about QWACs and examine their level of validity.
You may have heard of side channel attacks. Now Jason explains what a side oracle attack is and how a side oracle attack in conjunction with AI could be effective against the HQC or Falcon PQC algorithms.
One of the NIST Round 3 PQC finalists that was never selected or eliminated is Classic McEliece. In this episode we explain in non-math terms how this algorithm works.
Continuing our examination of AI in 1000 days, we discuss the use of finely tuned small language models for highly specific use cases.