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.
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. Hover to see the full autonomous data access.
OpenAI
Surfaces
Microsoft
Surfaces
Surfaces
Salesforce
Surfaces
Slack
Surfaces
Notion
Surfaces
Zoom
Surfaces
ServiceNow
Surfaces
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.
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.
Autonomous Agent Path
Copilot activates during Teams board meeting
Reads full meeting transcript in real time
Accesses shared files referenced in discussion
Generates comprehensive summary with M&A details
Auto-distributes summary to all attendees
Contractors receive confidential board strategy
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.
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.
Blocks sensitive data from leaving the organization through AI-generated summaries, auto-completions, and agent actions. Catches cross-context data leakage between tools.
Blocks prompt injection via shared documents, meeting transcripts, emails, and other content that embedded AI agents autonomously process. Red Team Agent continuously tests for new attack vectors.
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.
What this looks like in Guardian setup
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.
Sees app usage but blind to what embedded AI agents do inside apps, cannot inspect agent-generated summaries or autonomous actions
Scans file uploads but cannot inspect AI agent-generated summaries, recommendations, and autonomous data surfacing within SaaS apps
Controls user login but cannot govern what AI agents access with the user's inherited permissions, agents act with full user scope
Manages devices but has zero visibility into AI agent actions within managed applications, blind to in-app autonomous behavior
Copilot 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 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 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.
Security 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.
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.
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.
How It Works
Embedded AI agent activates in SaaS app
Browser extension intercepts agent action
Policy engine evaluates data sensitivity
Agent action: allow / redact / block
Watch how the Guardian Agent detects and responds to embedded AI agents autonomously accessing, summarizing, and surfacing sensitive enterprise data. Each scenario shows the full governance engine in action.
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.
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.
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.
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.
50+
3rd Party AI Agents Governed
< 1%
False Positives
48 Hours
To Production
100%
Agent Visibility
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.
Other Solutions
Common Questions
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.
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.
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.
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.