AI Agents: A New Attack Surface Hiding in Plain Sight
AI agents are rapidly moving beyond chat-style conversations into far more sensitive territory: reading and replying to emails, managing financial workflows, executing code, and logging into multiple online accounts on our behalf. That shift creates an entirely new attack surface that traditional security tools were never designed to handle. Instead of protecting only people and devices, security teams must now account for autonomous software that can make decisions, connect to services, and move data without constant human oversight. These agents can be tricked through prompt injection, steered toward malicious websites, or given access to files and tools their owners never intended. Because they often act inside trusted sessions and familiar apps, risky behavior can be hard to spot. This is why AI agent security needs dedicated controls that monitor what agents do, where they connect, and how they interact with sensitive information.
Why a VPN for Agents Is Different from a VPN for Humans
Conventional VPNs were built to protect people: they encrypt traffic from a user’s device and mask their location. But once AI agents start running inside that environment, human and agent traffic blend together, making it difficult to distinguish which connections belong to whom or to constrain what agents can reach. Gen’s VPN for Agents tackles this gap by being designed specifically for autonomous AI workflows rather than human browsing. It separates agent traffic, controls where agents can connect, and shields their identity and location details to reduce tracking and profiling. Multi-tunnel technology even allows different agents, or the same agent, to operate across multiple countries at the same time, supporting complex, distributed tasks. Crucially, it does this without requiring software downloads or client setup, enabling security teams and advanced users to add encrypted, policy-aware communication to AI agents without reconfiguring every device.
Inside Norton 360 AI Agent Protection: A Guardrail for Autonomy
While VPN for Agents focuses on securing communication, Norton AI Agent Protection extends protection into the decisions AI agents make. Integrated into Norton 360, it monitors supported AI agents such as Claude Code, Cursor and OpenClaw on Windows, watching what they do and where they connect. Instead of silently observing, it inserts a security checkpoint between an agent’s decision and execution, using prompts and blocking tools to intervene before risky actions occur. The system performs pre-checks before AI plugins, skills, and tools are used, helping prevent over-permissioned access or unintended integrations. It also scans code and files that agents access or generate, detecting malware and unsafe scripts before they can run. Together, these capabilities form an AI-specific safety net, turning Norton 360 from a traditional antivirus product into a hybrid platform that addresses modern AI cybersecurity risks as well as classic threats.
Building an Agent Trust Layer for Enterprises and Consumers
As autonomous AI spreads from experimental tools into everyday software development, account management, and personal productivity, security teams need dedicated mechanisms to keep pace. Gen’s Agent Trust Hub, which includes VPN for Agents and Norton AI Agent Protection, is positioned as that control point. It combines verification, detection, and secure communication into a trust layer focused on AI agents rather than only endpoints. Gen Threat Labs contributes ongoing threat research and security technology, while Gen AI Foundry develops and scales the underlying AI products, extending this framework deeper into agent workflows. For enterprises, this model points toward a future where AI agent security is managed as a distinct category, with policies, monitoring, and network controls tailored to autonomous behavior. For consumers, the Norton 360 integration brings similar protections to personal devices, giving individuals confidence to let AI agents handle sensitive tasks while every connection and action is scrutinized.
