The Frontier of
Alignment Theory.
We combine behavioral economics with adversarial ML to define the benchmarks of sovereign agentic safety.
Quantifying The Canon.
Our researchers develop the **Sovereign Safety Index (SSI)**—a standardized framework for measuring how closely an autonomous system adheres to organizational policy under adversarial stress.
Reasoning Chain Audit
Tracing the logical hops of an LLM to identify 'Dark Reasoning'—where an agent arrives at a correct answer through unsafe logic.
Prompt Mutation Vectors
Testing agent resilience against dynamically generated adversarial prompts designed to trigger behavioral drift.
Deterministic Gate Analysis
Evaluating the reliability of hard-coded compliance gates versus probabilistic LLM-based filtering.
Recursive Drift Detection
Measuring how subtle errors in the first step of a multi-hop task compound into significant misalignment over time.
Jan 20, 2026 | Systems Architect
The Ralph Loop Methodology
A technical overview of the Read-Map-Build-Test-Canonize cycle for deterministic AI engineering. How to build agents that are auditable by design.
Jan 30, 2026 | Director of Engineering
The AlignOps™ Discipline
Why raw intelligence isn't enough: Defining the operational requirements for safe AI deployment at scale in high-stakes environments.
Dec 15, 2025 | CTA Assistant
Taxonomy of Behavioral Drift
Categorizing the 12 subtle deviations in agentic reasoning that lead to misalignment in enterprise environments, from 'Goal Slippage' to 'Hidden Intent'.