Reality Kernel

Reality Kernel is a sovereign reasoning engine that provides deterministic, auditable security for autonomous AI agents. Unlike probabilistic LLM-based guardrails, it intercepts compiled system commands, scores their effect-class independently of stated intent, and blocks dangerous actions — including prompt injections, SSRF, privilege escalation, and rogue egress — before execution. The platform simulates downstream consequences of agent actions across parallel 'shadow worlds,' producing tamper-evident, SHA-256 chained audit logs suitable for regulatory compliance (e.g., EU AI Act). It ships in three deployment modes — managed SaaS, dedicated VPC tenant cluster, and fully air-gapped self-hosted — and is currently in private beta with select security and compliance teams.

Today's agentic AI guardrails classify prompts probabilistically, meaning they can be bypassed via paraphrasing, multilingual obfuscation, or jailbreaks. There is no deterministic, language-agnostic mechanism to verify that an agent's actual system-level effect matches its stated intent before execution.

Reality Kernel intercepts compiled system commands and scores them across five effect dimensions (filesystem writes, egress destinations, privilege changes, data access patterns, and intent divergence) in under 1ms. It issues cryptographically sealed ALLOW/WARN/BLOCK verdicts appended to a SHA-256 chained audit ledger, providing court-grade proof that is independent of prompt language or phrasing.

Reality Kernel is in private beta (RK-α) with select enterprise security and compliance teams, with enforcement availability announced for August 2, 2026. The platform is trusted by enterprise AI platform teams and targets EU AI Act compliance deadlines.