Comprehensive, industry-specific guides to AI security, compliance, and governance for regulated sectors. Each guide covers regulatory requirements, key risks, practical implementation, Shadow AI prevention, and compliance checklists tailored to your industry.
Healthcare organizations face unique AI security challenges due to HIPAA requirements, sensitive patient data, and life-critical decision-making. This guide covers everything from AI tool vetting to clinical AI governance.
Financial services organizations operate under some of the strictest regulatory oversight. This guide addresses AI security challenges across banking, insurance, wealth management, and capital markets.
Government agencies must balance the efficiency benefits of AI with stringent security requirements, data sovereignty mandates, and public accountability. This guide covers federal, state, and local government AI security.
Legal professionals face unique AI security challenges centered on attorney-client privilege, ethical duties of competence and confidentiality, and the accuracy demands of legal work. This guide covers law firms and corporate legal departments.
Manufacturing organizations deploying AI face unique challenges at the intersection of operational technology (OT), intellectual property protection, and supply chain security. This guide covers AI security for Industry 4.0.
Educational institutions — from K-12 to higher education — must protect student data under FERPA while enabling AI adoption for teaching, research, and administration. This guide covers AI governance for the education sector.
Australian law firms face unique AI governance challenges: professional privilege risk, strict confidentiality obligations under the Australian Solicitors' Conduct Rules, and evolving guidance from the Law Council of Australia. This guide equips managing partners, CIOs, and IT directors with a practical framework for governing AI use across legal practice.
Retail and e-commerce organisations face intense AI governance challenges: personalisation engines processing vast customer datasets, algorithmic pricing under ACCC scrutiny, fraud detection models requiring fairness testing, and widespread Shadow AI adoption in marketing and merchandising teams. This guide provides a practical framework for Australian retailers.
Energy and utilities organisations operate critical infrastructure where AI failures can have cascading consequences for public safety and national security. This guide covers AI governance for power generation, transmission, distribution, gas, and water utilities operating under Australia's SOCI Act and AESCSF requirements.
Insurance organisations face acute AI governance challenges: underwriting and pricing algorithms with direct discrimination risk, claims processing AI making life-impacting decisions, fraud detection models requiring fairness testing, and extensive Shadow AI adoption across claims teams and broker networks. This guide provides a practical framework for Australian insurers.
Professional services firms — consulting, accounting, audit, and advisory — face the most extreme Shadow AI exposure of any sector. Practitioners work independently with sensitive client data, and AI tools offer irresistible productivity gains. This guide covers AI governance for the unique risks facing Australian professional services firms.
Telecommunications companies process some of the most sensitive data in the Australian economy — call metadata, location data, browsing history, and communications content. Combined with critical infrastructure status under the SOCI Act, telcos face unique AI governance challenges across network operations, customer service, and cybersecurity.
Aona helps organizations discover, monitor, and govern AI usage, tailored to your industry's compliance requirements.