Reinforce AI security: Protecting AI applications, models, and data
summary
Palo Alto Networks unveils three products—AI Access, AI-SPM, AI Runtime Security—that claim real-time discovery of apps, models and datasets, Terraform-based onboarding to Strata Cloud Manager and AWS Bedrock, and gateway-load-balancer autoscaled instances to intercept app↔model traffic. Claims include blocking prompt injection and model DoS, preventing data exfiltration with 1,000+ data patterns, and using Precision AI (the same tech that defends 7.6 billion attacks/day). Cited risks: 250M AI users, ~2,400 AI apps, 80% of public models easily jailbroken, 400k Hugging Face models added last year. Available July.
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chapters (13)
- 0:00Introduction to AI Security
- 1:34AI Adoption Risks and Trends
- 4:07Secure AI by Design Platform
- 5:50AI Access Security
- 8:30Protecting Enterprise AI Apps
- 10:45AI Security Management
- 14:04Infrastructure and Supply Risks
- 16:31Runtime Threats and Solutions
- 20:33AI Runtime Security Demo
- 23:41Advanced Model Protection
- 25:21Securing RAG Applications
- 28:32Product Management Dashboard
- 34:14Conclusion and Next Steps
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