When you build an AI system that knows how to attack computer systems, you need to think carefully about ethics and constraints. This is something we take very seriously at Luci.
The core principle is simple. Every action the system takes must be authorized, scoped, and logged. There are no exceptions to this rule.
Authorization means that Luci only tests systems that the user has explicit permission to test. Before any engagement begins, the scope is defined. Which IP ranges are in scope. Which domains. Which services. Anything outside that scope is off limits, and the system enforces this at the infrastructure level, not just the application level.
Scoping goes beyond just target selection. It also covers the types of tests that are allowed. Some organizations want full exploitation testing. Others only want vulnerability identification without active exploitation. Some want to include social engineering. Others explicitly exclude it. All of these constraints are configured before the engagement starts and enforced throughout.
Logging is comprehensive and immutable. Every command that Luci runs, every request it makes, every finding it records is stored in an audit trail that cannot be modified after the fact. This matters for compliance, for accountability, and for the practical reason that you need to know exactly what happened during a test.
We also built rate limiting and impact controls into the system. Luci does not launch denial of service attacks against production systems. It does not exfiltrate actual customer data. It does not modify production databases. These are hard limits that cannot be overridden by the AI agents themselves.
The broader question of AI in offensive security is worth addressing directly. These tools will exist regardless. By building them responsibly with proper constraints, we ensure that the technology is used to improve security rather than undermine it. The alternative, leaving this capability only to those who would use it without ethical constraints, is far worse.