Shared agents
Coworker Enterprise Context
- Enterprise AI Platform
//Coworker protect
Govern AI wherever work happens.
Protect sensitive data and AI interactions, and keep agents within your organization's permissions and policies.
AI usage controls
Govern data & AI interactions, across every surface.
Detect sensitive content across connected sources, surface findings for review, and hide overshared documents from showing up in Coworker.
AI threat protection
Defend against AI threats.
Stay ahead of AI threats and build on industry-leading security models with Coworker for high-confidence detections.
Agent guardrails
Put guardrails around agents
Enforce agent governance policies (coming soon) and check write actions before they execute to keep agents aligned with their intended scope.
One set of controls for every request, agent and action
Governed wherever AI touches your data.
99%
of organizations have exposed sensitive data to AI. (Varonis)
89%
year-over-year increase in AI adversaries. (Crowdstrike)
150,000+
AI agents expected at Fortune 500 companies by 2028. (Gartner)
//Overview
What is AI security and governance for enterprise assistants?
AI security and governance for enterprise assistants controls what AI can see, say and do: identity and data permissions, sensitive content protection, topic restrictions, protection against attacks such as prompt injection, and checks on agent actions.
DataObserve Coworker Protect enforces these controls end to end across search, the assistant and agents, so AI usage is governed wherever work happens.
//Expands the security surface
Built-in AI security, enforced end-to-end
Always-on auditing. Every control point is logged to an end-to-end audit trail as it happens, with events available to stream into SIEM.
Identity & access
Verify who is making the request via your SSO provider before AI runs, including both user and agent identity.
Data permissions
Enforce source-system permissions on every read and write; an agent should not automatically access everything the user can.
Sensitive content protection
Detects and blocks sensitive content for both structured and unstructured data across apps.
Topic restrictions
Check requests against acceptable use and industry-specific policies before the model responds.
Runtime threat protection
Screen for prompt injection, malicious code, and harmful content while AI operates.
Action alignment
Check agent actions against the user's intent and authority before execution.
//Explore more withDataObserve
More from Coworker · Enterprise AI Platform
Connectors & Actions
- Enterprise AI Platform
APIs
- Enterprise AI Platform
API Lookbook
- Enterprise AI Platform
//Use cases
Coworker Protect: use cases
Sensitive data
Detect and block sensitive content in structured and unstructured data.
Acceptable use
Check requests against acceptable-use and industry policies.
Prompt injection
Screen for injected instructions and malicious content at runtime.
Agent actions
Check agent actions against the user's intent and authority.
//FAQs
Coworker Protect: questions teams ask
What is prompt injection?
Prompt injection hides instructions in content, such as a document or web page, to make an AI ignore its rules. Runtime screening detects and blocks it.
Can agents access everything a user can?
Not automatically. Data permissions are enforced on every read and write, and agents can be scoped more narrowly than their users.
What is action alignment?
Action alignment checks that an agent's action matches what the user asked for and is within their authority before it executes.
Does Coworker Protect cover agents as well as chat?
Yes. The same controls apply across search, the assistant and agents, including checks on agent actions before they run.
