Compliance & Audit

Compliance Crosswalk

One policy maps to every framework. One tap generates evidence your stakeholders can trust — and powers the ship/no-ship call.

Overview

The SinzAI Compliance Crosswalk eliminates the gap between governance policy and regulatory evidence. Define your governance policies in SinzAI's policy language, and the crosswalk engine automatically maps each policy to the corresponding controls in NIST AI RMF, OWASP LLM Top 10, EU AI Act, and ISO 42001. When auditors ask for evidence, you generate a complete report with one click.

SinzAI Compliance Crosswalk

Framework crosswalk showing NIST AI RMF, OWASP LLM Top 10, EU AI Act, and ISO 42001 mappings.

CISA May 2026 Alignment

SinzAI is anchored to CISA's May 2026 Careful Adoption of Agentic AI Services guidance. The guidance identifies five risk categories — and SinzAI addresses every one:

Privilege Escalation

CISA Requirement

Agents may obtain or exploit elevated privileges beyond their intended scope

SinzAI Implementation

Scoped access with allow-list data stores, short-lived credentials with automatic rotation, cryptographic identity anchored to DIDs

Design / Configuration Flaws

CISA Requirement

Misconfigured agents may expose sensitive data or perform unintended actions

SinzAI Implementation

Registered purpose with behavioral drift detection, failure protocols with automatic degrade/halt, policy-as-code configuration with validation

Behavioral Misalignment

CISA Requirement

Agent actions may diverge from intended behavior due to prompt manipulation or environmental factors

SinzAI Implementation

Memory Governance detects behavioral drift, trust score drops on misalignment, HITL gates intercept anomalous actions

Cascading Failures

CISA Requirement

A single agent failure may propagate across interconnected systems

SinzAI Implementation

Containment layer isolates agents without affecting fleet, circuit breakers prevent cascading failures, kill switch provides instant fleet-wide intervention

Accountability Opacity

CISA Requirement

Lack of traceability makes it impossible to determine what an agent did and why

SinzAI Implementation

Append-only action ledger with cryptographic chaining, every action traceable to model version and prompt fingerprint, one-click rollback preserves full audit trail

NIST AI RMF Mapping

SinzAI maps to the four core functions of the NIST AI Risk Management Framework:

Govern

Organizational policies, accountability structures, and culture of risk management. SinzAI's Govern module directly implements Govern 2.0–2.3 (AI risk management policies, accountability, workforce training).

Map

Context recognition — understanding the AI system's purpose, stakeholders, and impacts. SinzAI's Detect + Map capabilities satisfy Map 3.0–3.5 (system context, benefits/risks mapping, impact assessment).

Measure

Quantitative and qualitative assessment of AI risk. SinzAI's Trust Score, behavioral drift detection, and continuous policy evaluation fulfill Measure 4.0–4.3 (risk identification, analysis, evaluation).

Manage

Risk treatment — responding to, communicating, and monitoring risk. SinzAI's HITL gates, containment, reversibility, failure protocols, and kill switch address Manage 5.0–5.3 (risk response, communication, monitoring).

OWASP LLM Top 10

OWASP #RiskSinzAI Mitigation
LLM01Prompt InjectionPrompt fingerprinting + behavioral drift detection
LLM02Insecure Output HandlingHITL gates on external side effects
LLM06Sensitive Information DisclosureMap: toxic combination alerts + data scope enforcement
LLM08Excessive AgencyScoped access + HITL gates on writes/deletes/financial
LLM09OverrelianceTrust score + continuous behavioral alignment monitoring

EU AI Act & ISO 42001

EU AI Act

  • • Article 6 (Risk Classification): Map + Trust Score
  • • Article 12 (Record-Keeping): Action Ledger
  • • Article 13 (Transparency): Registered Purpose + Observability
  • • Article 14 (Human Oversight): HITL Gates
  • • Article 15 (Accuracy/Robustness): Failure Protocols

ISO/IEC 42001

  • • Clause 5.2 (AI Policy): Govern — Registered Purpose
  • • Clause 6.1.2 (Risk Assessment): Trust Score + Map
  • • Clause 8.1 (Impact Assessment): Detect → Map pipeline
  • • Clause 9.1 (Monitoring): Observability + Trust Score
  • • Clause 10.1 (Improvement): Living Crosswalk