Tag: Data Loss Prevention

Deploying Slack AI without a corresponding data loss prevention strategy is a governance gap waiting to become an incident. When AI features summarize channels, generate search answers, or surface content through Slackbot, they create new pathways by which sensitive data can be exposed—not through malicious action, but through the ordinary operation of intelligent features that […]

In the operational lifecycle of autonomous enterprise agents, data intake and synthesis represent only half of the risk equation. While substantial industry focus targets ingress security—such as filtering direct jailbreaks or neutralizing indirect prompt injections—the catastrophic failure mode for enterprise compliance and infrastructure integrity occurs at the egress boundary. When an autonomous digital coworker generates […]