Episode 8: What Network & Cloud Security Means in the AI Era

For years, cyber security was built around a simple idea: protect the perimeter. But what happens when your applications live in the cloud, your data is spread across multiple platforms, and AI systems can access information, automate tasks, and make decisions on your behalf? In this episode, Lynn sits down with Keith Archer to explore how network and cloud security is evolving in the AI era, and why many of the security assumptions organisations have relied on for years no longer hold up. Because AI isn't just changing how businesses work. It's changing how cyber threats operate too. From agentic AI and prompt injection to shadow AI and tool hijacking, this conversation unpacks some of the newest risks emerging as organisations race to adopt AI-powered tools and platforms. Keith explains why traditional security controls often struggle to detect these threats, how attackers are beginning to weaponise AI, and why visibility has become one of the most important capabilities an organisation can have. The discussion also explores the growing challenge of shadow AI — where employees introduce AI tools without formal oversight — and the business impact of not knowing what systems, data, or applications those tools can access. Most importantly, this episode isn't about avoiding AI. It's about adopting it responsibly. Because organisations that balance innovation with governance will be far better positioned than those that either ignore AI altogether or deploy it without understanding the risks. A https://info.babble.cloud/cyber-security-s... helps organisations identify gaps across people, identities, data, recovery, devices, networks, cloud environments, and emerging AI usage; creating a clearer picture of where exposure actually exists. Key takeaways: Why traditional security perimeters no longer exist What agentic AI means in practical terms The risks associated with prompt injection and AI manipulation How shadow AI creates visibility and governance challenges Why traditional security tools struggle with AI-driven threats Where organisations should focus first to improve resilience in the AI era Chapters: 00:00 Introduction 01:12 Meet Keith Archer 02:59 The evolution from perimeter to cloud 05:20 Understanding agentic AI 07:11 Why traditional security tools are struggling 10:34 Jailbreaking and prompt injection explained 14:58 The rise of indirect prompt injection 16:19 The real business impact of AI threats 18:17 Shadow AI and the visibility challenge 19:58 When AI tools become attack paths 21:31 Where organisations are getting AI wrong 23:27 Immediate actions for security teams 25:49 Why human risk still matters 27:46 Keith’s wake-up call for business leaders 30:05 Conclusion