SASKI SDK
Govern input before the model and validate output before the application returns it to a person.
Explore SASKI SDKArchitecture
AI proposes a response or action. SASKI applies the organization’s rulebook, returns an enforceable decision, and records why it was made.
The shared architecture
Capture the interaction, context, and intended operation at the application boundary.
Evaluate authority, scope, parameters, prerequisites, privacy, and configured safety rules.
Return a deterministic decision the application can enforce before continuing.
Record the rulebook version, checks, outcome, reason codes, and approval state.
The rulebook
The model can interpret context and propose a path. Authority comes from a separate, versioned rulebook.
Three deployment paths
Govern input before the model and validate output before the application returns it to a person.
Explore SASKI SDKScan input and output, and enforce the rulebook before an agent reaches a connected tool or system.
Explore SASKI AgenticRun historical records through a selected rulebook to inspect decisions before live enforcement.
Explore SASKI ReplayEvaluate before enforcement
Replay and Shadow Mode help teams examine representative traffic without changing the live response or action path.
Review detected risk signals, proposed interventions, reason codes, and sample attestations. Use the results to refine the rulebook, define escalation ownership, and plan the integration boundary.
Evaluation evidence describes the records and configuration that were tested. Production coverage begins when the relevant live paths are routed through the control layer.
Explore SASKI Replay ↗Decision and execution
Illustrative decision record
A governance receipt proves the decision the control layer made. The application’s execution record establishes what happened next. Keeping both prevents a generated claim from being mistaken for a completed action.
Implementation matters
Identify protected interactions, actions, data flows, authority, failure behavior, and approval owners. Account for alternate routes that could bypass the control layer.
Test allowed, denied, held, and failure scenarios. Correlate SASKI attestations with application and execution logs so reviewers can distinguish a governance decision from a completed action.
One architecture, four products
De-risk agentic applications by enforcing rulebooks across input, proposed actions, and output—with attestation for each governance decision.
Explore SASKI AgenticDe-risk human-facing AI with rulebooks before and after the model, plus attestation for the resulting decisions.
Explore SASKI SDKTest historical interactions and actions against rulebooks, then inspect the resulting governance evidence.
Explore SASKI ReplayApply the same rulebook governance and attestation architecture to AI-enabled smart homes.
Explore SASKI EstateStart with your use case