Safety Is Engineered, Not Assumed

AI safety in the Reasoning OS is embedded at the semantic and architectural level—aligned with IEC 61508, ISO 21448 (SOTIF), and DO-330 without brittle rule engines.

Safety isn’t a post-hoc filter. Meaning must be logically resolvable within context; if safety cannot be established, the system does not proceed.

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Core Safety Pillars

We move beyond statistical probability to semantic certainty where it matters most.

Semantic Grounding

Meaning must be logically resolvable within declared contexts. If meaning cannot be established safely, the system halts the inference path.

Explicit Context Modeling (SOTIF)

Each interpretation is evaluated against explicit terminology, assumptions, constraints, and admissible inference paths to avoid semantic misunderstanding.

Deductive Reasoning with Failure Awareness

The system distinguishes valid derivation, missing information, ambiguity, and contradiction. Failure is explicit and inspectable—never silent.

Traceability & Control

Full auditability for every decision artifact with built-in control over tools and models.

Traceability & Explainability

Each decision artifact links to source artifacts, applied contexts, and reasoning steps—providing auditability comparable to functional safety expectations.

Tool Safety (DO-330)

Tools and AI models are subordinate components. Their outputs are semantically validated; safety-relevant conclusions remain under qualified, traceable control.

Failure modes are explicit and inspectable. Lineage views expose how conclusions were derived and which contexts and artifacts were involved.

Ensure Your AI Is Safe, Compliant, and Governed

Discuss how ReasoningOS implements safety-by-design aligned with IEC 61508, ISO 21448 (SOTIF), and DO-330 perspectives.

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Head Office

Xixum Cognitive Software Limited
DIFC, Dubai, UAE
[email protected]

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