𝗔𝗴𝗲𝗻𝘁𝗶𝗰 𝗔𝗜 𝗶𝗻 𝗘𝗻𝘁𝗲𝗿𝗽𝗿𝗶𝘀𝗲 𝗦𝗼𝗳𝘁𝘄𝗮𝗿𝗲

𝗔𝗴𝗲𝗻𝘁𝗶𝗰 𝗔𝗜 𝗶𝗻 𝗘𝗻𝘁𝗲𝗿𝗽𝗿𝗶𝘀𝗲 𝗦𝗼𝗳𝘁𝘄𝗮𝗿𝗲

73% of software teams will use autonomous AI agents for security by 2028. This move is happening now.

Software changes fast. Human teams are too small to keep up. This creates a gap.

Agentic AI fills this gap.

Basic automation follows rules. Agentic AI creates rules.

Example:

• A scanner finds a bug.
• An agent finds the bug.
• The agent tests the bug.
• The agent fixes the bug.

You need new infrastructure for this. Use AI supercomputing platforms. Use confidential computing. Without these, agents stop working.

This is a re-architecture. You must rethink your network. You must rethink access controls.

Agents work in production. They move fast. This creates risk. One compromised agent causes more damage than one human.

Use Agentic Application Security Posture Management. This adds rules and monitoring to AI agents.

Treat this as a design challenge. Do not treat it as a tool purchase.

Define your rules now. Do not let a security breach define them for you.

Source: https://dev.to/yanoai/the-architects-new-blueprint-how-agentic-ai-is-rewriting-enterprise-software-design-1dk4

Optional learning community: https://t.me/GyaanSetuAi