Verify executable AI decisions before they run — not after. ILION is a model-agnostic geometric verification layer that evaluates AI-generated actions prior to robotic or API execution, enforcing deterministic constraints without retraining or modifying the underlying model.
Autonomous AI is transitioning from conversational assistants to systems capable of executing real-world actions: financial transfers, infrastructure commands, RPA workflows, API orchestration, enterprise automation.
Most existing safety mechanisms operate after generation or rely on secondary probabilistic models. This creates a critical gap in the execution pipeline.
ILION introduces a deterministic verification layer positioned between AI reasoning and real-world execution. The gate evaluates semantic alignment in vector space using fixed reference vectors and calibrated thresholds.
Instead of predicting safety probabilistically, ILION evaluates whether a candidate action remains within a permitted geometric region. Only actions satisfying all constraint layers proceed.
Cosine similarity against a fixed axiom vector. Detects semantic opposition to core constraints. Highest priority — triggers immediate veto.
Measures semantic distance from the identity anchor. Rejects when deviation exceeds configured bounds.
Evaluates cosine alignment between agent identity and incoming stimulus. Filters low-alignment inputs.
Identity-conditioned field alignment. Integrates agent identity, purpose anchor, and stimulus into a single resonance metric.
Simulated execution environment with deterministic gate decisions across benign, malicious, and borderline scenarios. Press RUN BENCHMARK to execute.
Internal benchmarking on a 1,000-sample action dataset under 5-fold stratified cross-validation with thresholds calibrated exclusively on training partitions.
These measurements were obtained on a synthetic benchmark with partially separable action categories. A logistic regression baseline on raw embeddings achieved near-perfect separation on this dataset, indicating the benchmark does not yet challenge the system at adversarial difficulty. Evaluation on naturalistic and domain-specific corpora is in progress. ILION is intended as an execution control layer and does not replace broader security or governance systems.
Pre-execution verification of automated workflows before they trigger real operations.
Transaction authorization validation. Deterministic gate for compliance-critical transfers.
Runtime safety layer for tool-using copilots. Prevent unauthorized actions before execution.
Execution control for multi-agent architectures. Verify each agent action independently.
Gate dangerous operations before they modify production systems.
Safety enforcement in regulated environments. Auditable decisions at every execution point.
ILION operates externally to the AI model. No retraining or fine-tuning required. Integration modes include middleware insertion, API proxy validation, RPA orchestration guard, or embedded verification component. ILION does not replace existing safety infrastructure — it introduces a deterministic enforcement layer that coexists with probabilistic alignment mechanisms.
Pilot deployments, research collaborations, industrial validation studies, and licensing opportunities.