Without trust scoring, every agent is a black box. No identity, no audit trail, no way to know if an agent is behaving as expected until something goes wrong.
The average AI-related incident costs $3.6Mto remediate, according to IBM's Cost of a Data Breach Report. When agents operate without identity or scoring, you cannot detect drift, prevent unauthorized actions, or prove compliance to regulators. The question is not if an ungoverned agent will cause harm — it is when.
72%
of enterprises lack any AI agent governance framework
214 days
average time to identify an AI-related breach
100%
of Shulam agent actions are auditable
0
cross-tenant data leaks
7-factor
trust scoring model
<200ms
trust evaluation latency
Regulators ask for evidence. Shulam generates it automatically for every action your agents take.
Trust scores detect behavioral anomalies in real time, not in a post-incident report six months later.
Go from 10 agents to 50,000. Every one is identified, scored, and accountable from day one.
Every agent identified. Every action auditable. Every deployment governed.
Start with trust from day one