Frequently Asked Questions

Implement multi‑factor authentication that combines biometrics with a liveness‑detection engine capable of flagging synthetic media. Store raw authentication recordings in a NESA‑approved secure vault and apply encryption at rest to satisfy PDPL data‑privacy mandates. Conduct quarterly deepfake simulation drills and maintain an incident‑response playbook that includes legal reporting to the relevant regulator.

Adversaries are leveraging AI‑generated phishing (social‑engineering) and automated credential stuffing using language models tuned on leaked data. Deploy AI‑driven email security gateways that score content for generative‑text patterns and enforce strict MFA on all privileged accounts. Isolate LLM APIs behind a zero‑trust network segment and enforce rate‑limiting to prevent bulk abuse.

Map GenAI controls to ISO 27001 Annex A, such as A.12.2 (change management) for model updates and A.15.1 (supplier relationships) for third‑party AI providers. In the ADGM context, embed the ADGM‑CFT “AI Governance” checklist into your risk‑assessment process, documenting model provenance, bias testing, and data‑subject consent per PDPL. Review and certify the AI risk register annually, feeding results into your ISMS continual improvement cycle.

Enable API‑level logging that captures request payloads, response sizes, and user identifiers, then forward logs to a DIFC‑approved SOC for real‑time analytics. Apply data‑loss‑prevention policies that automatically redact or encrypt personally identifiable information before it leaves your network. Conduct quarterly third‑party assessments of the SaaS provider’s security posture and ensure they maintain a DIFC‑certified data‑processing agreement.