AI Governance & Advisory

Executive strategy, technical guardrails, and assurance testing to safely deploy AI systems in compliance with ACSC ISM controls and NIST AI RMF standards.

What is AI Governance & Advisory?

AI Governance & Advisory delivers technical risk management, operational guardrails, and regulatory alignment for organizations deploying predictive, generative, or agentic AI solutions.

Our approach operationalizes national security benchmarks—specifically the ACSC Information Security Manual (ISM) controls for AI application development—alongside international frameworks like the NIST AI Risk Management Framework (AI RMF 1.0).

From establishing executive oversight and fine-grained access controls to testing adversarial prompt injection and auditing data supply chains, we ensure your AI implementations remain secure, auditable, and resilient across their operational lifecycle.

Cyberly's AI Agent Governance Prototype

Services We Offer

NIST AI Risk & Compliance Strategy
Operationalizing the NIST AI Risk Management Framework to establish executive oversight, clear risk controls, and data privacy safeguards across your AI deployments.
AI Model & System Documentation
Specifying system architecture, model characteristics, intended use cases, and security risk profiles.
Data Privacy & Chat Retention Governance
Designing explicit data owner consent workflows for training/fine-tuning and configuring automated session context purging to delete prompts and outputs.
AI Supply Chain & Data Integrity Auditing
Verification of source provenance and cryptographic integrity for AI models, weights, and training datasets, including validation against data poisoning.
Review AI Access Control & RBAC
Structuring strict Role-Based Access Controls (RBAC) and fine-grained permissions for AI applications to prevent excessive agency and unauthorized data access.
Prompt Injection & Adversarial Guardrail Testing
Deploying and evaluating input validation layers, prompt perplexity scoring, and guardrails to detect and block adversarial suffixes or prompt injection attacks.
Content Filtering & Output Sanitization Audits
Setting up automated content filtering and downstream output validation to prevent sensitive data leakage and improper output handling.
Human Oversight Models
Defining explicit Human-In-The-Loop (HITL) manual authorization gates for high-risk actions vs. Human-On-The-Loop (HOTL) supervisory intervention controls.

Quick Facts

Typical Effort
10–25 days
Engagement Duration
3–8 weeks
Framework Alignment
ACSC ISM, NIST AI RMF 1.0, ISO/IEC 42001
Primary Output
AI Model/System Documentation, Guardrail Testing Reports & Governance Frameworks
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