agent-shield

To prevent prompt injection on your AI agent, you need runtime security monitoring that detects and blocks attempts to override system prompts or gain unauthorized control. This protection layer intercepts malicious instructions during execution to mitigate threats.

Runtime security for AI agents monitors actions during execution, utilizing regex pattern matching, file access monitoring, and real-time alerting to detect threats like credential leakage, data exfiltration, and dangerous operations before they execute.

To stop your AI agent from leaking credentials and PII in outputs, implement output scanning and PII filtering. This approach scans agent outputs and automatically redacts sensitive credentials and personally identifiable information.

Yes, you can monitor file access and block dangerous operations during AI agent execution. This protection flags and logs sensitive file accesses while intercepting destructive system commands to require explicit confirmation.

AI agent protection modes include Passive, Active, and Paranoid levels for different security requirements. These tiers scale from basic monitoring to aggressive interception, allowing you to balance security strictness with agent autonomy.

To detect and block data exfiltration attempts from your AI agent, deploy runtime monitoring that tracks suspicious external connections and data transfers. This mechanism blocks unauthorized outbound traffic to prevent sensitive data loss.