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Real-time cloud security thinking bigger
I just watched a Palo Alto Networks LinkedIn Live on cloud security, and one question really made me think: What happens when you're using AI services across multiple cloud providers? Someone mentioned how Amazon Bedrock Guardrails can block bad inputs or outputs using filters. Cool, right? But Palo Alto flipped the script: What if you're not just using AWS? What if your data and apps live on AWS, Azure, and GCP? That hit me. As a cybersecurity beginner (with GSEC, GFACT, and GCIH under my belt), I’m learning that real-time protection isn’t just about having a security tool — it’s about having the right kind of visibility everywhere. Zero-day attacks don’t wait. You need tools that can understand your normal behavior, spot something weird, and act fast — no matter where your services are running. One session, and I’m rethinking how big the cloud really is. Would love to hear how others are thinking about multi-cloud security. What tools are you looking at?
I just watched a Palo Alto Networks LinkedIn Live on cloud security, and one question really made me think:
What happens when you're using AI services across multiple cloud providers?
Someone mentioned how Amazon Bedrock Guardrails can block bad inputs or outputs using filters. Cool, right? But Palo Alto flipped the script: What if you're not just using AWS? What if your data and apps live on AWS, Azure, and GCP?
That hit me. As a cybersecurity beginner (with GSEC, GFACT, and GCIH under my belt), I’m learning that real-time protection isn’t just about having a security tool — it’s about having the right kind of visibility everywhere.
Zero-day attacks don’t wait. You need tools that can understand your normal behavior, spot something weird, and act fast — no matter where your services are running.
One session, and I’m rethinking how big the cloud really is.
Would love to hear how others are thinking about multi-cloud security. What tools are you looking at?
