VQV Signal

AI AT WORK WATCH PRACTICAL

Salesforce architect to livestream on five pillars for extending trust across AI agents

According to a post on X by @SalesforceArchs, Distinguished Technical Architect Carl Brundage is running an interactive livestream and Q&A on assessing risk and extending trust across agents, builders and users. The session is organized around five pillars, which the snippet describes as running from identity and access to risk and continuity. The post was reshared by Salesforce Developers and is dated Nov 3 in the title. The snippet does not list all five pillars.

Source: Scobleizer News Pulse (X) · x.com Found via Robert Scoble’s Scobleizer News Pulse · a post on X, not independently verified Published 2026-11-02T22:45:00+00:00 Detected 2026-11-03T06:17:22+00:00
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According to a post on X by @SalesforceArchs, Distinguished Technical Architect Carl Brundage is running an interactive livestream and Q&A on assessing risk and extending trust across agents, builders and users. The session is organized around five pillars, which the snippet describes as running from identity and access to risk and continuity. The post was reshared by Salesforce Developers and is dated Nov 3 in the title. The snippet does not list all five pillars.

AI-assisted summary based on the listed source.

Reshared by Salesforce Developers: Distinguished Technical Architect Carl Brundage runs an interactive livestream and Q&A on assessing risk and extending trust across agents, builders and users through five pillars, from identity and access to risk and continuity. Why it matters: Teams deploying Agentforce get a...

According to the post's description, teams deploying Agentforce could get a practical security checklist that goes beyond the Salesforce UI. Builders and businesses running AI agents may find the session useful for framing trust and risk decisions. Watch whether the full pillars and checklist are published after the livestream.

Teams using AI at work may want to compare this against current productivity and review workflows.

Signal Strength 86% Technical label WATCH Public Interest 29 Category AI AT WORK Reader Depth PRACTICAL

Signal Strength reflects source quality, relevance, freshness and evidence. Public Interest helps organize discovery; it is not proof of truth.

Public Interest components
Recognizable Entity Score 0 Practical Impact Score 20 Novelty Interest Score 70 Consequence Score 34 Curiosity Score 16 Shareability Score 45

VQV surfaced this signal because it is recent, relevant to AI Agents, connected to Scobleizer News Pulse (X).