Practical system design for quantum-safe migration
Independent lab and architecture review for post-quantum migration — not a product vendor. I work through cryptography migration with clarity: architecture, risk, and real-world constraints rather than hype.
NIST FIPS 203 / 204 Migration Flowchart
A structured four-phase transition strategy to achieve complete post-quantum agility without operational disruption.
Discovery & CBOM Export
Catalog classical algorithms (RSA/ECC) & map dependencies via CycloneDX v1.5 standard.
Risk & Vulnerability Audit
Evaluate key size, lifetime exposure, and prioritize high-risk cryptographic targets.
Hybrid KEM & Signature Setup
Implement Dual-Algorithm posture pairing classical certs with ML-KEM & ML-DSA.
Zero-Downtime Migration
Deploy agility abstraction layer ensuring full backwards compatibility & quantum safety.
Selected Work
Focused work on practical system design for post-quantum migration — emphasizing architecture, risk, and operational reality.
PQC Readiness Assessment
A structured approach to evaluate existing cryptographic posture and identify migration priorities without disrupting live systems.
View details →Hybrid Cryptography Design
Practical patterns for combining classical and post-quantum algorithms during transition phases while managing performance and compatibility.
View details →Crypto Inventory & Visibility
Methods to discover, classify, and track cryptographic assets across applications and infrastructure for better risk decisions.
View details →Approach
A measured way of working that prioritizes clarity, risk awareness, and practical system design over rushed adoption.
Understand the current state
Map existing cryptographic usage, dependencies, and operational constraints before proposing any change.
Identify real risk
Focus on what actually matters — exposure, lifespan of data, and systems that cannot afford disruption.
Design for transition
Create hybrid and phased approaches that allow classical and post-quantum cryptography to coexist safely.
Validate before scale
Test patterns in controlled environments to understand performance, compatibility, and failure modes.