Security practitioners from Autodesk and a global insurance provider share real-world insights on how AI is reshaping cloud security workflows. Key themes include AI democratizing security work and enabling scale, prompt injection as a genuinely new threat vector, and the need for multi-layer guardrails combining cloud-native controls, model-level rules, and architectural constraints. Both practitioners note that core cloud threat vectors (identity, misconfiguration, exposed services) haven't fundamentally changed but are faster and harder to contain. They also caution against vendor hype, advising teams to focus on actual business outcomes and real exploits rather than theoretical risks.
Table of contents
Table of contentsAI Is Changing Who Can Do Security Work, and How Much They Can HandleThe Day-to-Day Security Workflow Has Changed. Here’s What That Looks Like in PracticeThe Core Cloud Threat Vectors Haven’t Changed With AI. They’ve Just Gotten Faster and Harder to ContainEffective AI Guardrails Require Cloud Controls, Model-Level Rules, and Architecture Working TogetherMost AI Security Concerns Are Real. Most AI Security Vendor Pitches Aren’tWatch the full panel105 Impressions