ARGOS Runtime
ManifestationDeterministic Boundary Enforcement
One governance direction built on the ARGOS runtime.
Capability Governance
Source Fidelity Engine implements Information Governance. Boundary Fidelity Engine implements Capability Governance. Together they demonstrate two distinct governance directions implemented on the ARGOS runtime.
Organizations don’t incur risk simply because AI generates information.
They incur risk when AI crosses boundaries it was never permitted to cross.
Medical decision support. Legal workflows. Financial guidance. Employment decisions. Eligibility determinations.
Traditional approaches attempt to influence behavior through prompts, policies, or behavioral guidance.
Regulated organizations need deterministic enforcement.
Organizations define the operational boundaries governing AI behavior.
ARGOS enforces those boundaries through architectural mechanisms that persist across conversation turns and resist reframing, persistence, and prompt manipulation.
Every enforcement decision preserves evidence for independent verification.
Deterministic Enforcement
Constraint enforcement operates through architectural mechanisms, not behavioral guidelines. Same governing conditions produce the same governance outcome.
Persistent Governance
Within a governed session, established boundaries remain active across conversation turns and have demonstrated resistance to reframing attempts, hypothetical scenarios, and user pressure.
Persistent Enforcement
Within a governed session, enforcement state can persist across turns so previously triggered boundaries continue to govern subsequent attempts despite changes in phrasing.
Independent Verification
Detection events, enforcement actions, and boundary state changes are preserved as evidence for independent examination and audit.
The Boundary Fidelity Engine currently supports organizations where crossing operational boundaries creates regulatory, legal, financial, or organizational risk.
Regulated Industries
Professional Services
Enterprise Governance
Deterministic. Not probabilistic.
Within the governed boundary, fixed constraint state produces deterministic enforcement decisions rather than relying on probabilistic behavioral compliance.
Persistent. Not conversational.
Within a governed session, boundary enforcement persists across conversation turns and has demonstrated resistance to reframing attempts and user pressure.
Auditable. Not opaque.
Telemetry preserves enforcement events and state changes for independent examination.
Provable. Not asserted.
Preserved evidence allows enforcement decisions and state changes to be independently examined and verified.
ARGOS has demonstrated portability across different model architectures without retraining or platform-specific modification.
Organizations may deploy cloud APIs, privately hosted models, local infrastructure, or air-gapped environments without changing the governance architecture.
No retraining required.
The same governance constraints have been demonstrated across different model architectures.
Traditional systems attempt to discourage prohibited behavior.
ARGOS makes prohibited behavior architecturally unavailable.
Discuss Your Governance Challenge
We’d rather understand your governance problem than demonstrate software that isn’t relevant.
Tell us about the operational boundaries your organization needs to enforce. We’ll determine together whether the Boundary Fidelity Engine is a good fit.
Discuss Your Challenge →Part of the ARGOS Runtime
The Boundary Fidelity Engine implements Capability Governance. The Source Fidelity Engine implements Information Governance. Together they represent the two governance directions currently implemented on the ARGOS runtime.