Securing Agentic AI: From Hidden Exposures to Managed Attack Surface
Agentic AI can think, act, and share information without waiting for human direction. That’s genuinely useful. But alongside that capability, something less visible has emerged: a layer of exposure that doesn’t show up cleanly in logs, doesn’t surface at obvious endpoints, and can quietly put systems, data, and entire workflows at risk without triggering a single alert along the way.
Two protocols sit behind this. MCP pushes exposure outward, toward the tools and systems agents interact with. A2A pushes it sideways, across the agents themselves. The difference matters enormously, because the attack paths they create look nothing alike, and mapping them before adversaries do is the whole challenge.
MCP: Outward Exposure to Tools and Systems
The Model Context Protocol (MCP) standardizes how agents connect to external tools and systems. Before MCP, every autonomous agent needed a bespoke integration for every database or service it had to touch. With it, agents...
Copyright of this story solely belongs to cloudtweaks.com. To see the full text click HERE
