Prompt injection
Detect malicious instructions intended to redirect behavior, expose data, or trigger unsafe actions.
AI agents
Autonomous AI requires autonomous security
AI agents introduce new security challenges at machine speed. Cantina provides the context, guardrails, monitoring, and governance autonomous systems need.
How Cantina operates
- 01Connect the existing stack
- 02Prioritize with live context
- 03Act and verify closure
Operating model
- 01Connect the existing stack
- 02Prioritize with live context
- 03Act and verify closure
What changes
AI agents introduce new attack paths
Traditional security was not designed for systems that make thousands of decisions, tool calls, and permissioned actions without continuous human input.
Privilege escalation
Monitor how agents acquire, retain, and exercise permissions across connected systems.
Runaway behavior
Identify loops, anomalous tool use, and actions that exceed policy, cost, or operational boundaries.
Runtime governance for autonomous systems
- Real-time action monitoring
- Policy enforcement at execution time
- Behavior and anomaly detection
- Auditable approvals and outcomes
Secure your AI agents
See how Cantina protects autonomous systems while keeping a human in the driver's seat.