TL;DR
Salesforce Agentforce introduces autonomous AI agents that can reason, act, and execute workflows across Salesforce environments. These agents go beyond traditional AI features by operating continuously and taking action without real-time human input.
That capability fundamentally changes the Salesforce risk surface.
Agentforce agents can access CRM data, update records, trigger flows, and interact with integrated systems based on delegated permissions. When access boundaries, sharing settings, or integrations are overly broad, agents can unintentionally amplify exposure across customer data, internal operations, and connected SaaS platforms.
Salesforce Agentforce security is not about securing the AI model itself. It is about governing how autonomous agents authenticate, what data they can access, and how their activity is monitored over time.
What is Salesforce Agentforce?
Salesforce Agentforce is a framework for building and deploying autonomous AI agents within Salesforce. These agents can operate across Salesforce clouds, custom objects, flows, Apex logic, and approved integrations.Agentforce agents are designed to:
- Operate continuously rather than per prompt
- Act on behalf of users, roles, or business functions
- Access Salesforce data based on existing permissions
- Trigger workflows and automations
- Interact with external systems through integrations
From a security perspective, Agentforce agents behave like non-human identities with persistent access and decision-making capability.
How Salesforce Agentforce Fits into Salesforce’s Security Model
Agentforce operates within Salesforce’s established enterprise security architecture, including profiles, permission sets, sharing rules, and role-based access controls. It is also positioned within Salesforce’s Einstein Trust Layer, which provides guardrails for trusted AI use.Salesforce is responsible for securing the underlying platform and providing AI trust controls. Organizations remain responsible for:
- Configuring permissions and sharing
- Defining which data agents can access
- Governing integrations and automation
- Monitoring agent activity
- Managing agent lifecycle and ownership
This shared responsibility model is critical to understanding Agentforce risk.
How Agentforce Changes the Nature of Salesforce Risk
Continuous Execution Without Human Approval
Once deployed, Agentforce agents do not pause for approval before acting. They execute workflows automatically based on configuration and context, removing an important checkpoint that traditional Salesforce security models rely on.
Amplification of Existing Permissions
Agentforce agents do not bypass Salesforce permissions. Instead, they aggressively use whatever access already exists. Over-permissioned roles, inherited sharing, or broad object access can quickly become high-impact exposure when agents act continuously.
Integration and Automation Blast Radius
Agentforce agents can interact with Salesforce integrations and APIs. A single agent may influence multiple workflows and systems, expanding blast radius if access is misconfigured or poorly governed.
Key Salesforce Agentforce Security Risks
Over-Permissioned Agent Access
Agents are often granted broad permissions to ensure functionality, and those permissions are rarely revisited.
Limited Visibility Into Agent Activity
Standard logs capture events but often lack context into whether agent-driven actions are expected or risky.
Shadow Agentforce Deployments
Agents may be created by admins or developers without centralized security review or inventory.
Unclear Ownership and Accountability
Security teams may struggle to identify who owns an agent, why it exists, or when it should be reviewed.
Data Exposure Through Automation
Agents can summarize, transform, or move Salesforce data automatically, increasing the risk of unintended exposure.
Why Native Salesforce Controls are Necessary but Insufficient
Salesforce provides strong foundational controls, including permission models, audit logs, and event monitoring. These are essential, but they were designed primarily for human users and intentional actions.Agentforce introduces autonomous behavior that requires:
- Ongoing visibility rather than point-in-time reviews
- Access evaluation beyond static permission checks
- Clear ownership and lifecycle management for non-human actors
Without additional governance, risk can accumulate quietly over time.
What Effective Salesforce Agentforce Security Looks Like
Discover Agentforce Usage Continuously
Security teams need visibility into:
- Which Agentforce agents exist
- Where they operate
- What objects and workflows they touch
- Which integrations they rely on
Discovery must be continuous, not a one-off event.
Treat Agentforce Agents as Non-Human Identities
Agents should be governed similarly to service accounts:
- Scoped permissions
- Explicit ownership
- Defined lifecycle
- Regular access review
Monitor Agent Behavior Over Time
Security teams should evaluate what agents actually do, not just what they were designed to do. Monitoring behavior over time helps surface drift, misuse, and unintended impact early.
Reduce Risk With Flexible Remediation
Effective security enables teams to:
- Adjust permissions safely
- Constrain access without breaking workflows
- Disable risky automations or integrations
- Apply a variety of remediation options including automated workflows
This approach reduces exposure while preserving business operations.
Salesforce Agentforce Security in the Broader SaaS Environment
Agentforce does not operate in isolation. It sits within a broader SaaS ecosystem that includes OAuth grants, integrations, non-human identities, and connected AI tools.
Securing Agentforce effectively requires understanding how agent access interacts with the wider SaaS environment, not just Salesforce configuration in isolation.
Final Thoughts: Securing Agentforce Without Slowing Salesforce Innovation
Salesforce Agentforce enables powerful automation and AI-driven efficiency, but it also introduces autonomous access patterns that traditional CRM security models were not built to manage.
Organizations that succeed with Agentforce will be those that understand where agents exist, what they can access, and how their behavior evolves over time. Security is not about disabling agents. It is about making agent access intentional, visible, and governed.
Valence helps security teams discover Agentforce agents, understand their access across Salesforce and connected SaaS platforms, and reduce exposure using flexible remediation approaches that align with how teams operate.
Schedule a demo to see how Valence helps organizations secure Salesforce Agentforce and AI-driven SaaS environments.
Frequently Asked Questions
1
What is Salesforce Agentforce security?
Salesforce Agentforce security focuses on governing how autonomous AI agents access data, execute actions, and interact with workflows and integrations inside Salesforce.
2
Are Agentforce agents considered non-human identities?
Yes. Agentforce agents act as non-human identities with delegated permissions and persistent access, similar to service accounts but with autonomous behavior.
3
Does Agentforce bypass Salesforce permission controls?
No. Agentforce agents operate within existing Salesforce permissions, but they amplify the impact of over-permissioned access by acting continuously.
4
Why are Agentforce agents harder to secure than traditional automations?
Agentforce agents make decisions and execute actions without real-time human approval, which introduces risk that static controls alone cannot fully address.
5
How can organizations secure Agentforce without disabling AI agents?
By discovering agents, assigning ownership, monitoring behavior, constraining access, and remediating risk in a controlled, workflow-safe way.
6
Is Salesforce Agentforce security only relevant for large enterprises?
No. Any organization using Agentforce to access customer or operational data needs visibility and governance, regardless of size.


