Full Report
Find out how Reco keeps Microsoft 365 Copilot safe by spotting risky prompts, protecting data, managing user access, and identifying threats - all while keeping productivity high. Microsoft 365 Copilot promises to boost productivity by turning natural language prompts into actions. Employees can generate reports, comb through data, or get instant answers just by asking Copilot. However,
Analysis Summary
# Tool/Technique: Reco (SaaS Security Platform for Microsoft 365 Copilot)
## Overview
Reco is a SaaS Security platform designed to monitor, govern, and secure the interactions between Microsoft 365 Copilot and an organization's sensitive SaaS data ecosystem (SharePoint, Teams, etc.). It aims to mitigate risks introduced by Copilot, such as unauthorized data exfiltration via user prompts or risky sharing actions auto-generated by the AI.
## Technical Details
- Type: Tool (Security Platform/Framework Add-on)
- Platform: Microsoft 365 SaaS Ecosystem, Microsoft Copilot
- Capabilities: Real-time prompt analysis, context-aware risk detection, data exposure monitoring, identity and access governance tailored to AI agent activity.
- First Seen: Information not explicitly available, article dated April 29, 2025.
## MITRE ATT&CK Mapping
Reco's primary functionality relates to detecting potentially malicious use of Copilot, which maps to defensive/detection tactics:
- **TA0001 - Initial Access** (If the prompt analysis catches attempts to gain initial access through reconnaissance via Copilot)
- T1598 - Phishing (Indirectly, if the AI is coerced)
- **TA0006 - Credential Access** (If attempts are made to extract credential information or system details)
- T1592 - Gather Victim Identity Information
- **TA0007 - Discovery** (Identifying systems/data structure via AI interaction)
- T1087 - Account Discovery
- T1593 - Spearphishing Attachment (Analogous to data retrieval attempts)
- **TA0010 - Exfiltration** (Preventing data leakage via Copilot responses)
- T1567 - Exfiltration Over Web Service
## Functionality
### Core Capabilities
- **Prompt Analysis:** Multi-phased evaluation of all Copilot queries:
1. **User Context Linking:** Assessing queries based on the user's role and job function.
2. **Keyword Detection:** Flagging sensitive terms (PII like "SSN," "credit card") or hacking terms ("bypass authentication," "export user list").
3. **Context Analysis (NLP):** Using Natural Language Processing to understand the intent behind subtle or cleverly worded queries that avoid obvious keywords (e.g., asking "how does the login system work internally?" instead of "password").
4. **Attack Pattern Matching:** Comparing prompts against known attack patterns using vector similarity matching, referencing frameworks like MITRE ATT&CK.
- **Data Exposure Management:** Monitoring Copilot's outputs, tracking file/link sharing generated by Copilot, and verifying sharing permissions align with security policies.
- **Integration with Classification:** Integrating with data classification systems (e.g., Microsoft Purview sensitivity labels) to track which data tiers Copilot accesses.
### Advanced Features
- **Identity Risk Amplification Monitoring:** Continuous analysis of the SaaS user base to identify identity risks (excessive permissions, lack of MFA, stale accounts) that could be leveraged by a compromised Copilot session.
- **Treating Copilot as an Application/User:** Holistic monitoring of Copilot's activity within the SaaS environment, which traditional tools might overlook.
## Indicators of Compromise
(Since Reco is a defensive tool, the IoCs listed below are examples of *what it detects* rather than hashes/network artifacts of Reco itself.)
- File Hashes: N/A (Platform functionality)
- File Names: N/A (Platform functionality)
- Registry Keys: N/A (Platform functionality)
- Network Indicators: N/A (Focuses on internal API/SaaS interactions)
- Behavioral Indicators:
- Copilot queries containing PII indicators or administrative system queries from non-privileged users (e.g., HR intern asking about "network configurations").
- Copilot generating previously sensitive content that is then shared externally or publicly.
- User queries exhibiting high semantic similarity to known malicious MITRE ATT&CK patterns.
## Associated Threat Actors
- Associated threat actors are not explicitly named, but the tool is designed to defend against malicious actors leveraging *Insider Threat* or *Compromised Accounts* to misuse Microsoft 365 Copilot for reconnaissance and data exfiltration.
## Detection Methods
- Detection is based on proprietary multi-phased prompt analysis, NLP for intent recognition, and mapping query patterns to established attack frameworks.
## Mitigation Strategies
- Implementing Reco to provide boundary controls around AI interactions.
- Ensuring **Principle of Least Privilege (PoLP)** is strictly enforced for all SaaS accounts that interact with Copilot.
- Proper configuration and enforcement of data classification labels (e.g., Microsoft Purview).
- Monitoring and enforcing MFA across the user base to reduce compromise risks that Copilot could amplify.
## Related Tools/Techniques
- Microsoft Purview Sensitivity Labels (Integration point)
- Other SaaS Security Posture Management (SSPM) tools (Analogous category)
- Techniques involving reconnaissance via AI interfaces.