Vijil says its customers cut trust-building time by 4x

Vijil proposes managing AI agents with a "trust score" mechanism similar to credit card risk control: before launch, test resilience, reliability and performance and assign scores; after launch, perform real-time policy enforcement and anomaly monitoring on each critical action. According to an October 21, 2026 report by The New Stack, Vijil says its customers cut the time to build trust by 4x. The report categorizes the risk of agents going out of control after launch into four types: drift, jailbreaking and prompt injection, ungoverned agents, and multi-agent interaction, and advocates a DevOps-style loop of continuous testing, monitoring, fixing and redeploying, with the ultimate goal of getting agents to meet a "fiduciary" standard of behavior, i.e., acting in the organization's interest rather than the model vendor's interest. There are currently no subsequent development facts.

AI-generated from public reports

1. Oct 21· 1 reports

   Vijil says its customers cut trust-building time by 4x

   Source:The New Stack