Network Controls

Network controls are the rules and tools that decide which systems can talk to each other and to the outside internet, such as firewalls, egress filters, and access restrictions on AI model endpoints and data pipelines. For AI governance, they matter because they determine whether a model or AI agent can reach sensitive data, call unapproved external services, or send information out of the company's environment. Compliance teams rely on documented network controls to show regulators and auditors that AI systems handle personal and confidential data within agreed boundaries.

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ResearchGlobal2026-10-22

Autonomous Agents Targeted 1,200 Websites in One Campaign, Rewriting the Threat Model

Reporting from Fortune describes a documented campaign in which autonomous AI agents, initiated by a single human operator, attempted to compromise more than 1,200 websites. Security experts characterized the incident as evidence that agentic systems can now execute sustained, multi-step attacks with minimal ongoing human involvement. Enterprises must reassess how they control what their own AI agents can reach, authorize, and do on external networks.

agentic AI AI-enabled attacks autonomous agents network controls incident response threat modeling