Business Solution
Assessment-led guidance for AI security, post-quantum cryptography, quantum key distribution, and enterprise quantum readiness.
Assessment First
Qevora approaches enterprise AI and cryptographic transformation through a quantum-AI-native threat model. Engagements begin by identifying exposure and quantifying priorities before recommending technology or vendors.
AI Security
Assess LLM applications, agentic systems, and machine-learning pipelines for prompt injection, data exfiltration, model poisoning, and supply-chain risk, then define practical governance and guardrails.
Post-Quantum Cryptography
Discover cryptographic dependencies and long-lived data exposure, then sequence a hybrid transition toward NIST-standardized ML-KEM, ML-DSA, and SLH-DSA without treating migration as a single tool purchase.
Quantum Key Distribution
Evaluate high-value links, regulated data, and critical infrastructure to determine where QKD can strengthen key distribution, and how it can complement PQC in a hybrid architecture.
Quantum-Native Transformation
Combine quantum and AI readiness assessment, risk-based investment sequencing, governance, and a board-level roadmap so each transformation phase has a clear rationale and business case.
Readiness is the ability to locate cryptographic and AI risk, prioritize systems and data, choose appropriate PQC or QKD strategies, and execute a phased roadmap with accountable governance. It is an ongoing transformation program, not a one-time algorithm swap.
Explore Qevora's assessment-led approach or talk with Sunsoft Logic about your enterprise technology priorities.
