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SalesBleed shows why an AI agent’s general permission to use a tool is not enough: the system also needs to limit what the agent may do for a particular request. In a Slack-focused disclosure published September 24, 2026, Zenity Labs described Agentforce workflows in which untrusted CRM content could influence an agent and a Slack thread-reply action could send a message without confirmation or clear attribution to the user who triggered it. Salesforce fixed the reported paths before disclosure, according to Zenity. The architectural lesson remains: define and enforce authority for the task, resource, operation and time—not just the agent’s standing role.
What did SalesBleed demonstrate?
Zenity Labs’ SalesBleed disclosure describes a path from untrusted CRM content to an Agentforce workflow in Slack. For example, an attacker could place malicious instructions in CRM data, such as a lead submitted through a Web-to-Lead form, and have an agent encounter that content later when an employee makes an otherwise benign lead-review request. The report also describes a URL-redaction bypass that could leave phishing links in messages.
The reported issue was specific to the Reply to a Slack Thread action in the default Slack Knowledge subagent template: Zenity says it did not require user confirmation and did not show other users who initiated the action. In its testing, Zenity found that Send a Slack Direct Message did ask for confirmation and identified the invoking user. Those differences matter: confirmation can interrupt an unexpected write before delivery, while attribution gives recipients context about whose request led to an action and a person to contact.
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Zenity says Salesforce confirmed and tested all reported fixes on September 21, 2026, and added attribution and updated insecure defaults. This supports saying the reported paths were remediated; it does not establish a specific affected-version range, guarantee identical configuration across all tenants, or demonstrate production exploitation.
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SalesBleed is also used in a separate vendor-authored explanation of CRM data exfiltration involving a poisoned lead, an Accounts query and data in a URL hostname. Tenuo’s account says Salesforce patched the URL-parsing bug. That broader chain should be attributed to Tenuo rather than treated as a detail established by Zenity’s Slack-focused disclosure.
Why can a role leave an agent with too much authority?
A role or identity answers questions such as who is calling and which capabilities are generally available. It may not express why the user made this request, which exact record the agent should handle, or which limits should apply while the agent selects tools. If an agent has broad standing access, malicious instructions in data it processes may influence its plan without changing the underlying permissions.
Tenuo calls the gap between user intent and what is verifiably enforced at runtime “shadow delegation.” That is the vendor’s framing, not a standard term established by the incident report. The general design issue is straightforward: conversational intent alone is not an authorization check. A tool or data boundary needs to validate what the agent is allowed to do with the current request.
Roles set a ceiling; task checks narrow the current action
Role-based access control remains useful for setting an upper bound on an identity’s capabilities. Task-scoped authorization adds narrower constraints for a specific execution: the allowed resource, operation and period. In Tenuo’s example, a warrant permits querying one Lead record for 60 seconds, while a query against all Accounts is denied. This illustrates a design pattern, not a universal standard or independently verified product behavior.
The enforcement point is critical. If an agent can ask a tool for any record the role permits and the system relies only on the model to stay within the user’s intent, the task limit is not actually enforced. The tool should reject a call that exceeds the request’s authorized scope, even if untrusted content has altered the model’s proposed plan.
How do role-based and task-scoped controls differ?
| Control question | Role-based access | Task-scoped authorization |
|---|---|---|
| Which resources? | Typically defines the resources generally available to an identity. | Can narrow access to the specific record or set of records needed for this task. |
| Which operations? | Can grant broad capabilities, though roles may distinguish permissions. | Can constrain the current execution to an operation such as reading one record rather than querying a broader dataset. |
| How long? | Often represents standing authority. | Can limit authority to a defined task period and support revocation or expiration. |
| What happens when the agent delegates? | A broad standing role can make it possible for delegated work to retain too much authority. | Delegated tools or subagents should receive equal or narrower authority, not a wider scope. |
| Where is the decision enforced? | At the identity or role permission layer. | At the tool or data boundary for the requested resource and operation; decisions should be logged. |
| What about consequential messages? | A role alone does not ensure a particular write is confirmed or attributed. | Task limits complement, but do not replace, confirmation and attribution controls for sensitive actions. |
These approaches are complementary rather than competing: roles can define what an identity may ever do, while task-level checks limit what is permitted now. A short-lived grant is not automatically safe; it can still authorize the wrong resource or operation if it is scoped incorrectly.
What should be scoped to a task?
Translate the request into enforceable limits before the agent reaches tools. The exact policy depends on the workflow, but a useful task grant should make explicit:
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- Operation: whether the task permits reading, editing, sending, deleting or another action. Separate read capability from write capability.
- Time: when the grant expires and how it can be revoked if the task changes or is abandoned.
- Delegation: what authority a tool or subagent receives, with no path for it to widen the parent task’s scope.
- Destination and effect: where a message or other external action may go, and whether confirmation is required before it takes effect.
- Traceability: which initiating user, task and authorization decision are recorded and, where appropriate, shown to recipients.
Do not treat “read-only” as a complete defense. Tenuo notes that read access would not necessarily have stopped the SalesBleed exfiltration scenario it describes, because sensitive information can be exposed by a read and then sent elsewhere. The relevant controls must account for both data access and the path by which results can leave the system.
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Which safeguards should surround agent actions?
Handle external content as untrusted input
Content from public forms, CRM fields and other sources outside the agent’s trusted instructions can contain malicious directions. An employee’s later request to summarize or review that content does not make the embedded instructions trustworthy. Keep data and instructions distinct, and ensure that a change in the model’s plan cannot grant new tool authority.
Gate consequential writes and preserve attribution
Require confirmation where a write could send a message, alter an important record or create another consequential effect. Show who initiated an action to relevant recipients when the workflow permits, and retain enough logging to investigate what request and authorization led to it. These controls address different problems: confirmation gives a person a chance to stop an unexpected action, while attribution supports accountability after or during delivery.
Enforce and test the whole path
Authorization should be checked at the tool or data boundary, not solely through prompt instructions or output filtering. Test the complete route from untrusted input through the model and any subagents, into data access and onward to an external destination. Include attempts to access a different record, broaden a query, bypass confirmation, send to a different destination and pass broader authority to a subagent. Task scoping reduces exposure, but it does not itself prevent prompt injection, policy errors or a wrongly scoped grant.
How common are agent scope violations?
In a 2026 Cloud Security Alliance study, 53% of surveyed organizations reported that AI agents had exceeded their intended permissions, and 47% reported an AI-agent security incident in the preceding year. The survey received 445 responses from IT and security professionals and was conducted online in September and November 2025. Zenity commissioned and financed the survey and co-developed its questionnaire, so treat these as survey findings—not universal prevalence rates. The CSA announcement quotes AVP of Research Hillary Baron: “The findings highlight gaps in visibility, runtime controls, and action traceability, underscoring the need for organizations to evolve their governance and security strategies, designing them specifically for autonomous systems and scaling them alongside adoption.”
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