CISA and APAC Agencies Publish Joint AI Security Guidance for Critical Infrastructure Operators

The US Cybersecurity and Infrastructure Security Agency has jointly published AI system security guidance with Australia's ASD, Singapore's CSA, Japan's NISC, and South Korea's KISA — the first multilateral APAC cybersecurity guidance specifically addressing AI systems deployed in critical infrastructure including energy grids, water treatment, port logistics, and mass transit control systems.

The guidance identifies four AI-specific threat vectors that traditional OT security frameworks do not address: adversarial input attacks (crafted sensor data inputs that cause AI safety systems to misclassify dangerous operational states), model poisoning during training (compromised training data that embeds backdoor behaviours triggered by specific inputs), AI API supply chain attacks (malicious AI model providers or APIs that subtly degrade predictions in adversarial conditions), and model extraction attacks (probing AI prediction APIs to reconstruct model logic for exploitation).

For APAC critical infrastructure operators deploying AI-assisted control systems, predictive maintenance models, or anomaly detection AI, the joint guidance creates immediate compliance obligations: critical AI systems must implement input validation schemas to detect adversarial data patterns; model provenance documentation must trace training data sources and validate against known-good checksums; AI vendor API contracts must include security incident notification SLAs; and AI-enabled security incidents must be reported to relevant APAC national cybersecurity agencies within 72 hours — the same timeline as conventional cyberattack incident reporting under existing APAC critical infrastructure protection frameworks.