Govern every 3rd‑party AI agent in your enterprise
Copilot reads your M365 tenant. Einstein takes actions on deals. Slack AI summarizes private DMs. Gemini processes your Workspace. These embedded AI agents have autonomous access to your most sensitive data.
The 3rd party AI problem is no longer about employees pasting data into chatbots. AI agents are now embedded directly inside your enterprise SaaS, autonomously reading, summarizing, and acting on data with full user permissions. QuilrAI governs what these agents can see, do, and share.
- Agent visibility · 50+ AI agents
- Real-time governance · every agent action
- Shadow agent discovery · org-wide
- 48 hours to production
Every embedded AI agent. Every risk surface mapped.
These AI agents are embedded inside your enterprise SaaS, autonomously reading, summarizing, and acting on data. Each card shows where the agent operates, what it accesses, and the risk it poses.
ChatGPT
OpenAI
Surfaces
Autonomous access risks
- Uploaded files and attachments
- Persistent conversation memory
- Custom GPTs calling external APIs
- Code interpreter file access
- Plugin data exfiltration
Microsoft Copilot
Microsoft
Surfaces
Autonomous access risks
- Full M365 tenant access
- Reads emails autonomously
- Summarizes meetings without consent
- Processes SharePoint docs at scale
- Cross-tenant data surfacing
Google Gemini
Surfaces
Autonomous access risks
- Processes entire Workspace tenant
- Summarizes private emails
- Reads Drive files at scale
- Caches sensitive data in context
- Auto-generates insights from PII
Salesforce Einstein
Salesforce
Surfaces
Autonomous access risks
- Reads deal pipelines autonomously
- Accesses customer records across accounts
- Takes automated actions on deals
- Recommendations from confidential pricing
- Cross-account data contamination
Slack AI
Slack
Surfaces
Autonomous access risks
- Summarizes private DMs
- Surfaces confidential channel content
- Indexes thread history
- Exposes HR discussions in digests
- No granular access controls
Notion AI
Notion
Surfaces
Autonomous access risks
- Processes strategy documents
- Reads OKRs and roadmaps
- Indexes confidential board notes
- Summarizes M&A planning docs
- Surfaces data across workspaces
Zoom AI Companion
Zoom
Surfaces
Autonomous access risks
- Records all conversations
- Auto-generates meeting summaries
- Shares summaries with all attendees
- Processes whiteboard content
- No opt-out for individual participants
ServiceNow AI
ServiceNow
Surfaces
Autonomous access risks
- Processes employee records
- Reads support tickets at scale
- Accesses system credentials data
- Auto-resolves with sensitive context
- Surfaces HR case details
AI agents act autonomously. Your security stack can't see them.
Embedded AI agents do not wait for users to paste data. They autonomously read, process, and surface enterprise data, making decisions about what to share with whom, completely invisible to your security stack.
Enterprise App
SaaS with embedded AI
AI Agent Activates
Autonomous trigger
Data Accessed
Reads enterprise data
AI Processing
Summarizes & reasons
Action Taken
Shares or surfaces
Data Exposure
Wrong audience reached
Microsoft Copilot
Copilot Board Meeting Leak
Copilot autonomously summarizes a confidential board meeting and shares the summary with all attendees, including contractors and external advisors who should never have seen the full discussion.
- 01Copilot activates during Teams board meeting
- 02Reads full meeting transcript in real time
- 03Accesses shared files referenced in discussion
- 04Generates comprehensive summary with M&A details
- 05Auto-distributes summary to all attendees
- 06Contractors receive confidential board strategy
Salesforce Einstein
Einstein Data Cross-Contamination
Einstein AI auto-generates deal recommendations using customer data from another account's confidential pricing structure, creating cross-account data leakage invisible to the sales team.
- 01Sales rep opens deal workspace in Salesforce
- 02Einstein activates to generate deal recommendations
- 03Agent reads pricing data across multiple accounts
- 04Confidential pricing from Account A used for Account B
- 05Recommendation surfaces competitor-sensitive terms
- 06Sales team unknowingly shares cross-account data
Slack AI
Slack AI Private Channel Leak
Slack AI surfaces a private HR discussion about upcoming layoffs in a channel summary visible to the engineering team, exposing confidential workforce decisions before official announcement.
- 01HR team discusses layoffs in private channel
- 02Slack AI indexes private channel content
- 03Engineering team requests channel digest
- 04AI summary includes layoff discussion context
- 05Confidential workforce decisions exposed
- 06No audit trail of how data was surfaced
Your security stack cannot govern embedded AI agents
CASBs, DLP, and IAM were designed for human users accessing applications. They are fundamentally blind to AI agents that operate autonomously inside those same applications, reading, reasoning, and acting on enterprise data without human intervention.
CASB
Sees app usage but blind to what embedded AI agents do inside apps. Cannot inspect agent-generated summaries or autonomous actions.
DLP
Scans file uploads but cannot inspect AI agent-generated summaries, recommendations, and autonomous data surfacing within SaaS apps.
IAM / SSO
Controls user login but cannot govern what AI agents access with the user's inherited permissions. Agents act with full user scope.
MDM / UEM
Manages devices but has zero visibility into AI agent actions within managed applications. Blind to in-app autonomous behavior.
Copilot reads M&A due diligence emails
CriticalCopilot processes confidential M&A due diligence emails and includes deal terms, valuation figures, and target company names in a meeting summary shared with 50 people across multiple departments.
Gemini caches MNPI in its context window
CriticalGemini processes a pre-earnings spreadsheet containing material non-public information and caches revenue figures, growth projections, and guidance in its context window, accessible in subsequent queries.
Einstein surfaces confidential competitor pricing
HighEinstein generates a deal recommendation that includes a competitor's confidential pricing from a separate account, making it visible to the entire sales team working the current opportunity.
Shadow AI: 23 unsanctioned agents discovered
HighSecurity audit reveals 23 unsanctioned AI agents embedded across 8 departments, each with full data access to the user's permissions scope. No inventory, no policies, no audit trail for any of them.
How QuilrAI protects 3rd-party AI
For every embedded AI agent — ChatGPT, Copilot, Gemini, Einstein, Slack AI — QuilrAI auto-creates a dedicated Guardian Agent that understands what each tool should do in context and enforces it natively from inside the platform.
Contextual Intent Enforcement
The Guardian understands what each embedded AI should do within its platform context — summarizing in Slack is not the same as drafting in Word. Permissions are scoped per tool, per user, per data type.
Data Exfiltration Prevention
Blocks sensitive data from leaving the organization through AI-generated summaries, auto-completions, and agent actions. Catches cross-context data leakage between tools.
Prompt Injection Defense
Blocks prompt injection via shared documents, meeting transcripts, emails, and other content that embedded AI agents autonomously process. The Red Team Agent continuously tests for new attack vectors.
Native Embedded Mode
QuilrAI's Embedded Mode is strongest here — these are the platforms QuilrAI embeds into natively. Sub-30ms intervention without proxies, browser extensions, or network middleboxes.
See QuilrAI govern autonomous AI agents in real time
How the Guardian Agent detects and responds to embedded AI agents autonomously accessing, summarizing, and surfacing sensitive enterprise data. Each trace shows the full governance engine in action.
MS Copilot
Generating meeting summary for 'Project Atlas - Acquisition Due Diligence Call'. Detected 14 participants. Preparing to include deal valuation ($3.2B), target company (Apex Systems), and board vote results in the summary distributed to all attendees.
QuilrAI Guardian
BLOCKED: Copilot agent attempting to surface M&A due diligence data in a meeting summary. Detected confidential deal terms ($3.2B valuation), target company name (Apex Systems), and board decision. 3 attendees are external contractors without M&A clearance.
QuilrAI Guardian
Action: Summary generation blocked for external participants. Internal-only summary created with deal terms redacted. Full audit logged. Compliance team notified.
Salesforce Einstein
Generating deal recommendation for Opportunity 'Globex Corp - Enterprise License'. Accessing pricing data from similar accounts to optimize proposal. Found relevant pricing from Initech Corp (confidential enterprise agreement).
QuilrAI Guardian
COACHED: Einstein agent attempting to use Initech Corp's confidential pricing data ($4.8M enterprise agreement) in a deal recommendation for Globex Corp. Cross-account data contamination detected. Initech pricing terms are under NDA.
QuilrAI Guardian
Action: Recommendation regenerated using only Globex Corp's own historical data and public market benchmarks. Initech data excluded from agent context. Sales rep notified of policy.
Slack AI
Generating daily channel digest for #engineering-general. Indexing 847 messages across 12 channels. Found relevant context in #hr-confidential: workforce restructuring discussion affecting engineering headcount.
QuilrAI Guardian
BLOCKED: Slack AI agent attempting to surface content from private channel #hr-confidential in the #engineering-general digest. Detected discussion about layoffs, headcount reduction (23 positions), and timeline (Q2). This is restricted HR data.
QuilrAI Guardian
Action: Channel digest regenerated excluding all private HR channel content. Agent access to #hr-confidential revoked for digest generation. HR leadership alerted to exposure attempt.
What this looks like in Guardian setup
Four control planes. Complete agent governance.
QuilrAI deploys across browser, API, endpoint, and plugin surfaces to inspect and govern every embedded AI agent action in real time, controlling what agents can see, do, and share.
Embedded AI Agent Inspection
A lightweight browser extension inspects embedded AI agent interactions in real time across Copilot, Gemini, ChatGPT, and every browser-based AI agent. Detects when agents autonomously access, summarize, or surface sensitive enterprise data.
- Real-time agent interaction monitoring
- Autonomous action detection
- Works with every embedded web AI agent
- No proxy or network changes required
- 01Embedded AI agent activates in SaaS app
- 02Browser extension intercepts agent action
- 03Policy engine evaluates data sensitivity
- 04Agent action: allow / redact / block
API-Level Agent Communication Governance
A centralized gateway governs all API-level AI agent communication. Enforces data classification policies, rate limits, and access controls at the protocol layer for every agent-to-model and agent-to-tool interaction.
- Agent API key management
- Token-level data classification
- Agent rate limiting and quotas
- Full agent request/response logging
- 01AI agent sends API request to LLM
- 02Request routed through LLM Gateway
- 03Data classification and policy evaluation
- 04Compliant agent requests forwarded
Desktop AI Agent Monitoring
Monitors AI agent interactions in desktop applications like Teams Copilot, Outlook Copilot, and native AI-embedded apps. Captures autonomous data flows that browser extensions and network proxies cannot observe.
- Teams Copilot agent monitoring
- Outlook AI agent inspection
- Native desktop agent governance
- Autonomous action detection
- 01Desktop AI agent activates autonomously
- 02Endpoint agent intercepts data access
- 03Sensitive data scan on agent input/output
- 04Policy enforcement before agent action completes
Agent Tool Call & Plugin Governance
Governs AI agent tool calls, MCP server connections, plugin access, and third-party integrations. AI agents cannot invoke unauthorized tools, access restricted data sources, or execute privileged actions without policy approval.
- Agent tool call interception
- MCP server access governance
- Plugin allow/deny enforcement
- Agent action scope control
- 01AI agent invokes external tool call
- 02MCP Gateway intercepts the agent action
- 03Tool permissions and data scope validated
- 04Authorized actions proceed, others blocked
Discover every embedded AI agent across your organization
You cannot govern what you cannot see. QuilrAI's AI Security Posture Management continuously discovers every embedded AI agent, plugin, API integration, and autonomous tool operating inside your enterprise SaaS.
Agent Discovery
Automatically detect new embedded AI agents as they activate across your SaaS. Browser agents, API agents, desktop agents, and plugin integrations are all surfaced in real time with full behavioral mapping.
Agent Risk Scoring
Every discovered AI agent is scored for autonomous data access, action scope, and compliance exposure. See which agents read PII, process MNPI, access PHI, or take autonomous actions on sensitive records.
Agent Policy Enforcement
One-click policy creation for newly discovered agents. Govern what agents can see, do, and share by team, data type, or risk level. Auto-enforce policies on future agent activations.
- 3rd party AI agents governed
- 50+
- 3rd party AI agents governed
- False positives
- <1%
- False positives
- To production
- 48 hrs
- To production
- Agent visibility
- 100%
- Agent visibility
Common questions
Does QuilrAI block ChatGPT for employees?
No. QuilrAI governs ChatGPT at the data level, it lets employees use ChatGPT normally while intercepting prompts that contain MNPI, PII, or confidential data before they leave the enterprise boundary. Employees keep full access; sensitive data never leaves.
How does QuilrAI handle Microsoft Copilot governance?
QuilrAI routes Microsoft Copilot traffic through its LLM Gateway, applying the same Guardian Agent policies: MNPI redaction, PII stripping, and confidential document blocking. All interactions are logged to a tamper-proof audit trail for compliance.
What data categories does QuilrAI protect for employee AI?
QuilrAI detects and redacts PII (names, SSNs, addresses), MNPI (material non-public information), PHI (protected health information), credentials, and proprietary source code before they reach any external AI model.
How long does it take to deploy QuilrAI for employee AI governance?
Deployment takes 30 minutes for initial setup and under 48 hours to production. One base_url change routes all employee AI traffic through QuilrAI's gateway, no endpoint agents required for cloud tools like ChatGPT and Copilot.
Other solutions
Govern every embedded AI agent in your organization
Control what Copilot, Einstein, Gemini, Slack AI, and every 3rd party AI agent can see, do, and share. Deploy in 48 hours. Full agent visibility from day one.