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Agentic AI Defined by MIT/BCG as Vendors Begin Embedding It in Cybersecurity

A new report frames agents as systems built to plan, act, then learn autonomously.

Overview

  • The MIT/BCG study describes agentic AI as systems that operate with goals and execute multistep work on their own, distinguishing them from chatbots that only generate responses.
  • AWS executive Swami Sivasubramanian says what makes a system agentic is its ability to break a high‑level goal into steps and carry them out rather than just proposing ideas.
  • Security vendors are starting to weave agents into SOC tooling to speed detection, cut false positives and automate incident response across identity, endpoint and cloud workflows.
  • Documented actions include blocking malicious IPs, isolating infected devices, rescinding credentials, disabling compromised accounts and triggering backups to limit damage.
  • Experts warn of expanded attack surfaces, potential misuse by adversaries and operational complexity, prompting calls for least‑privilege access, human oversight, auditing and clear accountability.