Assessment
Pakistan's AI strategy has progressed beyond skills and innovation toward governance, sovereignty and institutional accountability. The next challenge is operational: organisations need repeatable processes to know where AI is used, what data it touches, what risks it creates and who is accountable.
AI security capability model
1 · Discover
Inventory AI systems, public AI use, agents, models and vendors.
2 · Govern
Set policies, approval workflows, risk tiers and ownership.
3 · Secure
Apply identity, data, application and model-specific security controls.
4 · Assure
Test AI systems, suppliers, prompts, data flows and human oversight.
5 · Monitor
Track misuse, drift, incidents, policy violations and model dependencies.
Priority risks
- Unapproved or "shadow" AI use.
- Sensitive-data leakage to external models.
- Prompt injection and agent manipulation.
- Over-automation of significant decisions.
- Third-party model and API dependency.
- Weak auditability of AI-driven outcomes.
Research conclusion
AI security should become a formal discipline inside enterprise cybersecurity and risk programmes. Pakistan's national AI direction creates an opportunity to make secure and responsible adoption a competitive advantage rather than a late compliance exercise.