Security in the Agent Economy

Overview

The agent economy introduces novel security threats that traditional cybersecurity frameworks were not designed to handle. Agents operate autonomously, make decisions at machine speed, and interact with systems using credentials and permissions that amplify the impact of any compromise.

Prompt injection remains the most prevalent attack vector. An adversary crafts input that causes the agent to deviate from its intended behavior -- leaking data, executing unauthorized actions, or producing manipulated outputs. Signet's Quality and Security dimensions help identify agents that have demonstrated resistance to these attacks through consistent, correct behavior across diverse inputs.

Agent impersonation is an emerging threat. Without a universal identity system, an attacker can create an agent that mimics a trusted one, exploiting the trust that the original agent has built. Signet's configuration fingerprinting and SID system make impersonation detectable -- a verified Signet profile cannot be duplicated, and any agent claiming to be a specific SID can be verified in real time.

Data exfiltration through agent chains is particularly insidious. An agent legitimately receives sensitive data for a task, then passes it to a downstream agent that is either compromised or malicious. Signet's trust scoring provides a defense: platforms can require minimum Security dimension scores for agents handling sensitive data, reducing the attack surface.

The configuration change vector is unique to agents. An adversary who gains access to an agent's configuration can subtly modify its behavior without changing its external identity. Signet detects this through configuration fingerprinting -- any change to the model, prompt, tools, or memory triggers a new fingerprint and associated score decay, alerting platforms to behavioral risk.