salesforce
Security and Governance for Salesforce Agents
Salesforce offers a variety of agentic capabilities and ways for anyone to build and use AI Agents
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The pROBLEM
As Salesforce grows, what security risks emerge?
Salesforce has made an aggressive push to put AI Agents into the hands of everyone, even enabling anyone to build custom agents with native capabilities from the CRM leader.
Speed of Development
With Agentforce, anyone can create powerful AI Agents that interact with sensitive corporate and customer data, resulting in shadow development
Data Leakage Risks
Agents and other apps and reports built in Salesforce push and pull lots of sensitive data, creating easy ways for data to leak
Data Warehouse Storage
Salesforce’s Einstein AI introduces a huge data warehouse that must be managed
Supply Chain Risks
Connectors, add-ons and extensions are easily integrated into agents and apps, with no oversight on what these are
The solution
Empower everyone to build useful agents, apps, and automations
Zenity’s security governance platform makes it so that as business users adopt and build on Agentforce, Lightning App and Flow Builder, MuleSoft, IDEs, Apex, and Einstein AI that the ensuring agents, apps, and reports are not leaking data
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Visibility at Scale
Continuously maintain observability and monitoring of all agents, apps, automations, and integrations built in Salesforce
Vulnerability Management
Establish how each agent and app is built, detecting hard-coded secrets, data leakage, and least privilege violations
Detection & Response
Automatically mitigate risk in real-time with enforcement playbooks and customizable policies to ensure secure development
The benefits
Confidently secure Salesforce AI Agents & Low-Code Apps
With Zenity, professional and citizen developers can embrace the power of AI to get more done and process more data while maintaining security and governance
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Continuous Scanning
Scan Salesforce environments to maintain visibility of who is creating what, in real-time
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Map Data Flows
Detect risky relationships between agents, apps, users, data, and third-party components
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Implement Governance
Leverage automated playbooks to take action when vulnerabilities are detected and implement guardrails for secure development and adoption of AI Agents
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Maintain Hygiene
Identify unused or unowned resources that can eat up license costs and be blind spots for security teams
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