inSight 360

Traditional correlation-based machine learning in telemetry frequently triggers false-positive operational halts by conflating symptom cascades (such as sudden network queue buildup or transient CPU spikes) with actual malicious policy violations.

inSight 360 applies Evidence-Driven Structural Causal Graph Networks (ED-SCGNs) over Control Flow Knowledge Graph (CFKG) traces. By evaluating do-calculus interventions across dynamic bitemporal hypergraphs, the engine isolates underlying causal factors. It emits structured bisimulation snippets and causal traversal logs directly to the human-in-the-loop (TopHAT) review interface, ensuring full explainability of why an intent was recommended, permitted, or vetoed.

The fundamental architectural invariant of the Constitutional OS is that AI reasoning (inSight 360° and iEngine) is strictly authority-poor. The engine outputs structured Proposed Intent Payloads containing candidate execution paths, enriched telemetry metadata, and identity scopes.

These proposals are forwarded to the DRAGON Adjudication Engine, which evaluates candidate actions against the active Policy Hash ($PH$) using the canonical deontic dominance order:

If any proposed action path touches an $\mathbf{F}$ primitive, DRAGON emits an immediate Structural VETO in under $45\mu ext{s}$ (target state architecture metric), completely halting execution before state mutation can take place.

inSight 360° constantly compares active node execution metrics against escrowed Software Bills of Materials (SBOMs), Hardware BOMs (HBOMs), and Model BOMs (MBOMs). If binary divergence is detected or a Proof of Non-Contradiction (PoNC) verification fails, an automated containment sequence is triggered across the Event Mesh.

The Registrar re-mints the Policy Hash ($PH$), instantly propagating Atomic Map Updates across the network. This zeroes out the compromised node's authority tokens within microseconds, preventing lateral movement while preserving forensic-grade logs for statutory reporting.

Under conventional logging architectures, an audit consists of querying text logs that are susceptible to truncation, tampering, and subjective interpretation. inSight 360° replaces this flawed paradigm with Auditability-as-Recomputation.

Every Minimum Viable Evidence Bundle (MVEB) contains the exact bitemporal coordinates ($t_{valid}$, $t_{tx}$), the active Policy Hash ($PH$), hardware TEE signatures, and Merkle inclusion proofs. An auditor or regulator can load the MVEB into an isolated execution sandbox and re-execute the decision deterministically. If the recomputed output matches the recorded hash, the act is mathematically proven to have complied with the law in effect at that exact microsecond.

In multi-tenant, regulated environments, proof of compliance must not compromise consumer privacy or violate GDPR and data sovereignty laws. inSight 360° employs Selective Disclosure JSON Web Tokens (SD-JWT) and Zero-Knowledge Proof (ZKP) circuit templates.

Counterparties and regulatory bodies can verify that an entity satisfied Anti-Money Laundering (AML) clearance, sanction screening, or credential eligibility without ever observing the underlying identity attributes, account balances, or unmasked personal data.