See how Google Unified Security (GUS) proactively protects applications in real time, anywhere
AI Summary
Overview
Nav, a developer, and P, a security analyst, discuss Google Unified Security (Gus) and its capabilities in protecting applications.
Key Points
- Introduction
- Nav is building an app using Vertex AI.
- P manages security tools and processes.
- Issues With Testing
- Nav used a Chrome extension for testing prompts across LLMs, risking data leaks.
- Gus detected sensitive data being copied to public models and quarantined the extension.
- Risk Identification
- Gus triages alerts and mitigates insider risks by adjusting organization-wide Chrome policies.
- Malicious Traffic Detection
- Nav’s VM experienced malicious traffic, which Gus linked to a tracked threat actor.
- Immediate action was taken to protect the application from potential breaches.
- Recommendations
- Gus suggests hardening AI models with “model armor” to analyze and block malicious inputs in real-time.
- Integrated Protection
- Gus offers comprehensive security across all environments and is a platform for incident response and threat hunting.
Conclusion
P emphasizes the peace of mind Gus provides for developers in securing their applications.