Last Updated: February 17, 2026
Raypher's security begins in the physical hardware. We utilize the **Trusted Platform Module (TPM)** and **Secure Enclave** to establish an immutable root of trust. Every security policy is signed and verified against hardware keys that never leave the device.
Every network interaction from an AI agent is intercepted at the OS layer and routed through our inspection pipeline:
Unlike software wrappers, Raypher uses **eBPF (Extended Berkeley Packet Filter)** and **Windows Filter Platform (WFP)** to monitor execution at the kernel level. This allows us to block unauthorized syscalls (e.g., spawning a shell or unauthorized file access) even if the AI agent's parent process is compromised.
In the event of a detected breach or policy violation, the **Panic Protocol** can be triggered manually or automatically. This protocol performs a 200ms emergency shutdown: freezing the memory space for forensics and then performing a secure termination of the entire process tree.
Raypher generates hash-chained audit logs. These logs are stored locally and optionally synced to your private dashboard. Because each entry is cryptographically linked to the previous one, the audit trail is legally admissible and tamper-proof.