Enterprise AI Security — Three Guardrails, Three Audit Guarantees.
Every CISO's worry about AI is structural: a prompt-injection attack exfiltrates customer data, an over-permissive LLM writes to the wrong record, a compromised credential triggers unbounded AI spend. Aeion's architecture makes these failure modes structurally hard via 3 enforcement guardrails (RBAC scoping, tool-catalog restriction, cost caps) + 3 audit guarantees (every prompt logged, every action attributed, every approval recorded).
Three Guardrails — Enforced at the Kernel
Each guardrail is non-bypassable from within the AI layer. The platform enforces, not the AI.
Three Audit Guarantees — Recorded, Not Promised
Audit is structural, not vendor-promised.
Compliance Framework Mappings
SOC 2 CC6.1 (Logical Access)
Auth RBAC + MFA + audit log
SOC 2 CC7.1 (Security Incidents)
Neural Bus auto-detect + Sentinel + audit
SOC 2 CC7.2 (Anomalies)
AI behavior monitoring + drift detection
HIPAA §164.312(b) (Audit Controls)
append-only audit log, no delete path; SIEM-exportable
HIPAA §164.312(d) (Person/Entity Auth)
MFA + WebAuthn + step-up
GDPR Article 22 (Automated Decision-Making)
per-action audit trail with attribution
GDPR Article 32 (Security)
CMK encryption + Aegis + audit
EU AI Act (High-Risk AI Systems)
RBAC scoping + audit per action + cost caps
NIST AI Risk Management Framework
risk register + bias monitoring + audit
NIST 800-53 AU-2 / AU-6 / AU-12 (Audit Events)
append-only audit log
NIST 800-53 SI-4 (Information System Monitoring)
Sentinel + Neural Bus
Deployment & Governance Controls
Beyond the platform-wide guardrails, every deployment — there is no separate enterprise tier — includes: