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\section{Safety Boundaries}
\label{sec:safety}
Operative implements a defense-in-depth safety system to prevent agents from causing unintended harm.
\subsection{Permission Model}
Safety boundaries are configured through a declarative policy:
\begin{lstlisting}[language=Python, caption=Safety boundary configuration]
safety:
filesystem:
allowed_paths:
- ~/Downloads
- ~/Documents/agent-workspace
denied_paths:
- ~/.ssh
- ~/.aws
- /etc
max_file_size: 100MB
network:
allowed_domains:
- "*.google.com"
- "*.github.com"
denied_domains:
- "*.darkweb.*"
block_downloads_from: ["*"]
system:
allow_app_launch: true
allow_app_close: false
allow_system_settings: false
allow_shell_commands: false
max_concurrent_windows: 5
interaction:
require_confirmation:
- purchase
- delete
- send_email
- form_submission
max_actions_per_minute: 60
idle_timeout: 300
\end{lstlisting}
\subsection{Sandboxing Layers}
\begin{enumerate}[leftmargin=*]
\item \textbf{Action-level filtering}: Each action is checked against the policy before execution. Denied actions return an error to the planner, which must select an alternative approach.
\item \textbf{Confirmation gates}: Actions matching \texttt{require\_confirmation} patterns trigger a human-in-the-loop approval step. The agent pauses and presents the proposed action with context to the user.
\item \textbf{VM isolation}: For maximum security, Operative supports execution within a Docker container or lightweight VM with restricted host access. The screen is shared via VNC or headless framebuffer.
\item \textbf{Rollback capability}: Reversible actions maintain undo state. If a sequence of actions produces unintended results, the planner can issue rollback commands to restore previous state.
\end{enumerate}
\subsection{Rate Limiting and Circuit Breaking}
To prevent runaway agents, Operative enforces:
\begin{itemize}[leftmargin=*]
\item \textbf{Action rate limit}: Maximum 60 actions per minute (configurable), preventing rapid uncontrolled clicking.
\item \textbf{Cost limit}: For actions that incur LLM costs, a per-task budget ceiling.
\item \textbf{Repetition detection}: If the agent repeats the same action sequence more than 3 times, execution pauses for human review.
\item \textbf{Error escalation}: After 5 consecutive failed actions, the agent enters supervised mode requiring human approval for each subsequent action.
\end{itemize}