Agentic AI

Overview

Agentic AI refers to AI systems that can plan and execute multi-step tasks by calling tools (APIs, browsers, databases) rather than only generating text.

In practice, most “agents” in early 2026 are still narrowly-scoped: a small set of tools, clear guardrails, and heavy use of logging, retries, and human approval.

Why it is hyped

• Vendors position agents as the next step after chatbots and copilots.
• Enterprises want automation that crosses application boundaries (tickets → docs → code → approvals).
• Analysts project wide adoption in enterprise software.

Reality check

Gartner publicly predicts both strong growth and a large cancellation rate:

• A large share of projects is expected to be canceled by end of 2027 due to cost/value/risk-control gaps.
• In parallel, Gartner forecasts rapidly increasing agent integration in enterprise apps.

Security + governance

Agentic systems expand the attack surface:

• Prompt injection and tool abuse
• Insecure plugin/tool design
• Excessive agency (systems acting without sufficient constraints)

Recommended: implement AI TRiSM practices and follow LLM Security (OWASP Top 10).

Related pages

• Model Context Protocol
• AI TRiSM
• LLM Security (OWASP Top 10)

Sources

See citations.