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AI is moving faster than most security teams can keep up with. As enterprises rush into Generative AI and Agentic systems, the risks are piling up, and many leaders still have no clear plan to manage them.
In this episode of Decoding the Future, Stanley Tsang from the Cyber Security Agency of Singapore (CSA, National Regulatory Body responsible for protecting Singapore's cyberspace) and Dr. Chris Marshall from IDC break down the real-world threats that come with scaling AI across the enterprise. From LLM vulnerabilities and guardrail bypasses to data sovereignty and AI-enabled cyberattacks, this conversation reveals what companies must fix before AI becomes unmanageable.
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Chapters
1. EP. 16 Securing against AI Risks with CSA and IDC (00:00:00)
2. Introduction (00:00:02)
3. Open Source AI Risks & Scaling Challenges (00:02:27)
4. Regulator CSA's View (00:03:39)
5. Agentic AI and the expanding attack surface (00:04:53)
6. How different industries are adopting AI (00:06:12)
7. Deepfakes, phishing, and AI-enabled threats (00:07:44)
8. Are enterprises prepared for secure AI design? (00:08:19)
9. How LLMs expose sensitive data (00:09:07)
10. The truth about guardrails and bypassing them (00:11:36)
11. Risks of connecting LLMs to real workflows (00:12:28)
12. From shadow AI to AI Centers of Excellence (00:12:59)
13. Who owns AI security: CTO, CISO, or CEO? (00:18:17)
14. The reality of data sovereignty and fragmented regulations (00:22:41)
15. Solving the sovereignty issue with private on-prem models (00:27:28)
16. Key takeaways for enterprise leaders (00:29:39)
16 episodes
