Enables LLM-driven agents to autonomously detect, diagnose, repair, verify, and prevent software and hardware failures on local and remote systems. Includes built-in safety checks and automatic rollbacks.
Enables users to investigate infrastructure incidents in plain English, correlate observability and deploy data with runbooks, and get evidence-backed root-cause proposals with approval-gated remediation.
Provides policy-driven, auditable SSH access to server fleets for AI assistants with zero-trust security controls, command whitelisting, and comprehensive audit logging to safely manage infrastructure.
Provides telemetry tools for retrieving recent logs and system metrics to support root-cause analysis of infrastructure incidents. Enables autonomous incident triage with grounded verification and human-in-the-loop remediation.
Enables AI agents and MCP servers to operate under autonomous security enforcement, including pre-deployment scanning, per-call authorization, runtime monitoring, incident containment, and comprehensive auditing.
Enables authorized compliance verification and security auditing through natural language, bridging AI assistants with industry-standard security tools for enterprise audits.