Securing AI agents: How AWS and Cisco AI Defense scale MCP and A2A deployments
PushButton AI Team ·
Securing AI agents: How AWS and Cisco AI Defense scale MCP and A2A deployments
Everyone talks about AI adoption. Nobody talks about what happens when your AI tools go rogue and expose your business data.
Here's the thing — if your team isn't using that $200/month tool sitting i
Everyone talks about AI adoption. Nobody talks about what happens when your AI tools go rogue and expose your business data.
Here's the thing — if your team isn't using that $200/month tool sitting in your subscriptions, you're actually safer than the businesses rushing ahead without asking the right questions first.
Being "behind" on AI isn't your biggest risk right now. Deploying AI tools without basic guardrails is.
Here's what the enterprise world figured out that small business hasn't heard yet: before you scale any AI tool, you need to know what it's accessing, what it's doing, and who's watching it. AWS and Cisco just published guidance on exactly this. The short version? Even the big players build checklists before they build anything.
For you, this translates to one practical question before your next AI purchase: "What data will this tool touch, and who controls it?" That single question — asked before you sign up — will save you from 80% of bad AI decisions.
You don't need to learn security. You need to ask better vendor questions. That's it.
What's the one AI tool you bought that your team quietly stopped using — and what went wrong?
Security scanning integrates into your development workflows (CI/CD integration) as part of registering new servers and agents into the AI Registry, ...
