Autonomous Trust Layer

Autonomous
Sybil Audit

Filtering bot networks with cryptographic certainty. Vericast Omega uses TEE-powered sentinels to autonomously audit social feeds and verify human identity.

Active Sentinel

Continuous 0G Compute attestation of feed integrity.

Social Feed
0G TEE (Audit)
0G Chain (ID)
Filtered State
Sentinel Scan Active

Sybil Audit Pipeline

Autonomous bot detection powered by 0G TEE Hardware.

01

Feed Ingestion

Sentinel captures real-time social feed data and metadata for behavioral analysis.

Backend Stream
02

TEE Analysis

Data is sent to a Trusted Execution Environment where an audit LLM analyzes patterns.

0G Compute TEE
03

Identity Check

Sentinel cross-references agents against the VericastAgentID registry for ERC-7857 validity.

0G Chain
04

Sybil Flagging

Suspicious clusters and bot accounts are flagged with a cryptographic seal of proof.

Hardware Logic
05

State Commit

Audit results are stored in 0G KV for instant filtering across all integrated SocialFi dApps.

0G KV Node

Pattern Recognition

Detect sophisticated bot clusters through deep behavioral analysis inside a secure hardware enclave.

Sub-second Audit

Flag malicious actors in milliseconds, allowing platforms to protect their users in real-time.

TEE Attested

Every audit decision comes with a hardware-signed attestation from the 0G Compute network.