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. AI for Security

What AI Really Delivers Today — Beyond the Promises

AI is marketed as the next revolution in cyber defense — from smarter detection to automated response and predictive analytics.
 But the reality is mixed: effectiveness varies widely, maturity is still uneven, and many promised capabilities remain aspirational.

In this first part, we explore:

• Real vs hype in AI-driven cyber defense
• What mature CISOs are actually using today
• Where AI genuinely improves SOC performance — and where it falls short
• Hallucinations, false positives, and operational limits
• How attackers use AI to accelerate phishing, social engineering, and exploit development

This is a grounded, experience-based look at what works, what doesn’t, and what is still wishful thinking.

2. Security for AI

How to Protect AI Systems — New Risks, New Controls

As organisations deploy AI models, they introduce entirely new attack surfaces.
 Securing AI requires capabilities that many cybersecurity teams are only beginning to develop.

This second part focuses on:

• Attacks on AI itself: prompt injection, data poisoning, model extraction, adversarial inputs
• What leading CISOs are already doing to govern and secure AI applications
• What is working and failing in protecting AI systems in practice
• New skills, controls, and architectures required for safe, scalable AI adoption
• The organisational impact: oversight, risk management, and upcoming regulatory pressure

This segment equips CISOs with the insight needed to secure AI responsibly and proactively.