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~/blackarc-systems
πŸ“„ .mdx

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Technical dispatches from the field

Homomorphic Data Operations: Entity Substitution for Sensitive AI Workflows
Entity substitution protocol for using AI with controlled unclassified information. Borrowed from cryptographic principles, adapted for operational reality.
ML vs LLM Architecture: Why the Distinction Matters for System Design
Machine learning and large language models solve different problems. Understanding the architectural implications prevents expensive redesigns in compliance-heavy manufacturing environments.
The Next Frontier: Security, Scale, and Specificity in AI Orchestration
For AI to work in enterprise and government, we need to solve security, observability, and governance at the orchestration layerβ€”not just the agent level.
Why Your AI Agents Need Determinism
Randomness is a feature, not a default. Here's how we build agents that produce identical outputs for identical inputs.
Autonomy at the Edge: When the Network Goes Dark
What happens when your agent loses connectivity? If the answer is 'it stops working,' you've already failed.
The Audit Trail: Every Decision Traced
In high-stakes environments, 'the model said so' isn't an acceptable answer. Building explainable agent systems.
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