Post-Quantum Cryptography
Definition
Post-Quantum Cryptography refers to encryption algorithms designed to remain secure against attacks from quantum computers. As quantum computing advances, traditional encryption becomes vulnerable, making post-quantum protocols increasingly essential.
Why it matters
The business case for Post-Quantum Cryptography.
Enterprise AI systems handle long-lived sensitive data. Encryption that is secure today must remain secure when quantum computing matures, which is why forward-looking AI security adopts post-quantum protocols now.
How SynthesisArc applies it
From concept to production.
NEXUS-MAGE implements post-quantum cryptography for AI systems handling sensitive enterprise data.
Related terms in AI Architecture
Cognitive Architecture
A Cognitive Architecture is the structural design of an AI reasoning system, including how it perceives input, accesses memory, plans actions, and learns from feedback. Cognitive architectures are what differentiate sophisticated AI from simple model wrappers.
PRISM
PRISM is SynthesisArc's seven-layer cognitive architecture for enterprise AI. The layers, perception, context, memory, reasoning, planning, action, and learning, combine deterministic and generative AI to deliver consistent, auditable outcomes.
LLM (Large Language Model)
A Large Language Model (LLM) is a foundation model trained on massive text datasets to predict and generate language. GPT, Claude, Gemini, and Llama are all LLMs.
Agentic AI
Agentic AI refers to AI systems that autonomously execute multi-step tasks toward a defined goal, using reasoning, tool use, memory, and self-correction. Agentic AI moves beyond chatbots that respond to systems that act.
Multi-Agent System
A Multi-Agent System is a coordinated set of AI agents working together on a shared goal, sharing context, handing off tasks, and avoiding conflicts. Multi-agent systems are required for any workflow that crosses departmental or functional boundaries.