As AI becomes increasingly integrated into enterprise security platforms, assumptions around its capabilities are shaping adoption strategies — often without being validated in real-world operational environments.
In this episode of Digital Dialogues, powered by CXO Digital Pulse, Greesh Verma Jairath, VP & Global Head Infrastructure, Cloud & Engineering at Mphasis, examines some of the most common myths surrounding AI in cyber defence.
Topics discussed include:
- Whether AI reduces the need for human security analysts
- The belief that increased AI adoption guarantees better detection
- The perceived advantage attackers have in leveraging AI
- What a security platform should demonstrably do differently to be considered genuinely AI-driven
The discussion emphasises that AI’s value in cybersecurity lies not in replacing human expertise, but in enhancing context, prioritisation, and response speed to support more effective decision-making.
An AI-driven security system must ultimately provide improved insight, stronger focus, and faster, more confident action beyond branding alone.




