A new warning says security tools that inspect AI traffic at a gateway may not see what AI agents actually do once they are running inside widely used workplace platforms such as Salesforce, Microsoft 365 and Slack.
AI agent security · Gateway blind spot
Gateway checks miss what AI agents do inside workplace platforms
Agents running in Salesforce, Microsoft 365 and Slack can read records, post messages and change files without that activity ever passing through a gateway. Security teams need visibility into agent permissions and delegation where the actions happen.
Where agent activity is visible
Gateway inspection covers traffic between users or apps and AI services. Actions taken inside a SaaS platform may never cross that checkpoint.
Path 1: Visible to gateway
User or application
↓
AI gateway (inspects request and response)
↓
AI service
Path 2: Not visible to gateway
AI agent inside a SaaS platform
↓
Reads records, posts messages, modifies files
↓
Actions occur in-platform, with no gateway event
Three layers of agent authority to govern
Actions
What an agent can do once running: read records, post messages or change files.
Permissions
The access an agent holds inside each platform, which defines its reach.
Delegation
Chains where one agent hands tasks and authority to another, often invisible at the perimeter.
What gateways still do well
Inspect requests and responses passing to AI services
Place a checkpoint between users or apps and models
Remain useful alongside in-platform controls
Where gateway-only controls fall short
Agent actions inside SaaS platforms can bypass the gateway
Permissions and delegation chains may go unseen
Leaves an incomplete picture of organizational risk
The shift ahead
Governance is expected to move from the perimeter toward identities, permissions and delegation inside the platforms themselves.
01 Track agent actions where they occur
02 Manage agent identities and permissions
03 Map how authority passes between agents
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