Your Agents Can Be Hacked by Other Agents: The Rise of Machine-vs-Machine Cyberattacks

Executive Summary

Axios examines the emerging concept of machine-versus-machine cyberattacks, where autonomous AI agents may attack or manipulate other autonomous agents.

The article argues that enterprises increasingly need to treat AI agents as privileged identities, serving as both potential attack surfaces and potential attackers within their environments.

Key Concepts

Agent-vs-Agent Attacks

As enterprises deploy more autonomous AI agents, a new attack vector emerges: agents attacking other agents. A compromised agent could manipulate, deceive, or exploit other agents in the same environment.

Agents as Privileged Identities

AI agents often have access to sensitive systems, data, and credentials. Treating them as unprivileged components ignores the access they hold. Enterprises need identity and access management for agents.

Dual Nature: Surface and Attacker

Agents are simultaneously an attack surface (they can be compromised via prompt injection, tool abuse, or supply chain attacks) and a potential attacker (a compromised agent can use its privileges to attack other systems).

Defensive Recommendations

• Apply least-privilege principles to AI agent permissions.
• Monitor agent-to-agent communications.
• Treat agent credentials as high-value targets.
• Implement agent-specific access controls and audit trails.

Sources

• Axios, 8 Sep 2026

Defensive research only. No exploit code or attack instructions.