Claude is one of the most capable AI models available — and one of the most widely adopted in enterprise. But every Claude interaction is a potential data leak.
Employees paste customer records into Claude Chat. Developers send proprietary codebases through Claude Code. Teams connect Claude to Slack, SharePoint, and databases via MCP. Claude processes all of it without filtering.
Anthropic's built-in safety controls what Claude outputs. It does not protect what you input. That gap is your responsibility.
Strac's Claude DLP closes this gap across every surface where your team interacts with Claude.
Claude Chat at claude.ai is where the majority of enterprise Claude interactions happen. Employees copy-paste from internal tools, CRMs, support tickets, and spreadsheets directly into Claude's web interface.
Strac's browser extension (Chrome and Edge) monitors every interaction with claude.ai in real time:
Strac identifies 100+ sensitive data types in Claude Chat interactions:
The browser extension deploys in minutes through Chrome Enterprise or Edge Group Policy. No proxy. No TLS interception. No network changes. Users see no performance impact — Strac's detection engine runs locally in the extension.
Claude Desktop is a native application for Mac and Windows. It bypasses every browser-based security control — your browser extension, your web proxy, your CASB. Employees can drag files from Finder or Explorer directly into Claude Desktop, paste clipboard content, and interact with Claude completely outside your browser DLP's visibility.
Strac's endpoint DLP agent provides OS-level protection:
Claude Desktop also supports MCP connectors — when a user configures MCP servers in Claude Desktop, the endpoint agent works alongside MCP DLP for layered protection.
Claude Code is Anthropic's command-line AI agent that runs in your terminal with full filesystem access. It reads and writes source code, runs shell commands, interacts with git, and can access any file your user account can reach.
For development teams, the primary risks are:
Strac's endpoint DLP agent monitors Claude Code sessions:
The same endpoint agent that protects Claude Code also covers Cursor, Windsurf, GitHub Copilot, and any other terminal-based AI coding tool — one agent, all AI developer tools.
Claude Cowork (Claude for Work) is Anthropic's collaborative AI workspace. Teams share projects, documents, and Claude conversations in a persistent environment. The collaboration features that make Cowork productive also amplify data security risks:
Strac protects Claude Cowork through browser DLP (for web-based Cowork access) and MCP DLP (for connected data sources):
Here is how Strac's MCP DLP intercepts sensitive data before it reaches Claude in a Cowork workspace:
The Model Context Protocol (MCP) lets Claude connect directly to your organization's SaaS tools and databases, pulling data autonomously based on user prompts. This is the newest and most dangerous data leak vector — traditional DLP cannot see machine-to-machine traffic flowing through MCP.
Claude can connect to:
When an employee asks Claude "pull the Q1 payroll report from SharePoint," Claude calls get_file() through an MCP server, retrieves the raw document via Microsoft Graph API, and loads the full contents — SSNs, salaries, bank accounts — into its context window.
Strac's MCP DLP sits between Claude and every connected data source. When Claude calls a tool through an MCP server, Strac intercepts the raw content, detects and redacts sensitive data, and returns the clean version to Claude. The redaction is inline and zero-storage — sensitive data never reaches Claude's context window.
See the full MCP DLP architecture and live demo →
For the complete guide to MCP security: MCP DLP: How to Prevent Data Leaks in AI Agent Workflows →
Every Claude surface uses the same detection engine with three configurable enforcement modes:
Mode
What the User Sees
What Security Sees
When to Use
Block
Submission is stopped. Popup shows which sensitive data was detected and why it was blocked.
Full event log: user, timestamp, data types, policy triggered.
Regulated data (HIPAA, PCI). Zero-tolerance policies.
Warn
Warning popup with detected data types. User can choose to go back or proceed.
Full event log plus the user's decision (proceeded or cancelled).
Medium-risk data. Security awareness. User education.
Audit
Nothing — completely invisible to the user.
Full event log with all detected sensitive data types and context.
Shadow AI discovery. Baseline measurement. Low-risk monitoring.
Policies are configurable per data type, per user group, and per Claude surface. Your engineering team might get Warn on Claude Code while your finance team gets Block on Claude Chat for PCI data. Audit mode is ideal for rolling out Claude DLP without disrupting workflows — security teams get full visibility before turning on enforcement.
MCP DLP adds a fourth capability: inline redaction. When Claude pulls data from connected SaaS tools through MCP, Strac replaces sensitive values with safe placeholders ([SSN REDACTED], [CREDIT CARD REDACTED]) before the data enters Claude's context window. This is server-side redaction that happens between the MCP server and the data source — distinct from browser enforcement modes.
Strac detects and protects 100+ sensitive data types across every Claude surface:
Category
Data Types
PII
SSN, Driver's License, Passport, Name, DOB, Address, Phone, Email
PCI
Credit Card, CVV, Bank Account, Routing Number, IBAN
PHI
Medical Record Number, Health Plan ID, Diagnosis Code, Prescription
Secrets
AWS Keys, API Tokens, OAuth Tokens, Private Keys, Database Strings
Financial
Tax ID, EIN, Account Numbers, Salary Data
Custom
Regex patterns for internal IDs, project codes, proprietary formats
Detection uses regex + ML classification for high accuracy with minimal false positives. New patterns can be added through the Strac console without engineering work.
Every interaction with Claude — prompt, file upload, MCP tool call, clipboard paste — is scanned in real time before data reaches Claude's context window.
Set different enforcement modes (Block, Warn, Audit) per data type, user group, and Claude surface. Fine-grained control without blanket blocking.
Every detection, block, warning, and audit event is logged with full context: user, timestamp, data type, Claude surface, and enforcement action. Export to your SIEM or SOAR platform.
Pre-built policy templates for HIPAA, PCI DSS, SOC 2, GDPR, and CCPA. Deploy a compliant Claude DLP policy in minutes.
The only DLP that detects sensitive data inside images (JPEG, PNG, screenshots) and documents (PDF, DOCX, XLSX) uploaded to Claude — not just plain text prompts.
Strac never stores the sensitive data it detects. Detection metadata is logged for audit, but raw content is never retained. MCP redaction is inline — sensitive values are replaced in transit, never stored by Strac.
See Strac's endpoint DLP protecting Claude Desktop, Cursor, and native AI apps:
For the full Strac DLP platform demo covering SaaS, endpoint, and GenAI:
Book a Demo to see how Strac secures every Claude surface in a single 15-minute call.
What is Claude DLP?
Claude DLP (Data Loss Prevention) detects and prevents sensitive data from being exposed through any Claude AI interaction. It covers Claude Chat (browser), Claude Desktop, Claude Code, Claude Cowork, and MCP connectors. Strac's Claude DLP scans prompts, file uploads, and connected data sources in real time — blocking, warning, or silently auditing sensitive data before it reaches Claude's context window. MCP DLP adds inline redaction for data pulled from connected SaaS tools.
Does Strac work with all Claude plans?
Yes. Strac's browser DLP and endpoint DLP work with Claude Free, Pro, Team, and Enterprise plans. MCP DLP works with any Claude surface that supports MCP connectors (Claude Desktop and Claude for Work). The DLP protection is independent of Anthropic's plan — it intercepts data before it reaches Claude regardless of your subscription tier.
How does Claude DLP differ from ChatGPT DLP?
The core detection and redaction engine is the same. The key difference is surface coverage. Claude has more interaction surfaces than ChatGPT: Claude Desktop (native app), Claude Code (terminal agent with full filesystem access), Claude Cowork (shared workspaces), and MCP connectors to SaaS tools and databases. Strac covers all of these. See our ChatGPT DLP →
Can Strac protect Claude's MCP connectors?
Yes. Strac's MCP DLP sits between Claude and every connected data source — Slack, Google Drive, Microsoft 365, Notion, Jira, Confluence, and databases. When Claude calls a tool through an MCP server, Strac intercepts the raw content, redacts sensitive data, and returns the clean version. See the full MCP DLP architecture →
Does Claude DLP slow down Claude?
No. Browser DLP runs locally in the Chrome/Edge extension. MCP DLP runs inline in the MCP server. Endpoint DLP runs as a lightweight OS agent. All detection adds single-digit milliseconds. Users experience zero perceptible delay.
Is Claude DLP compliant with HIPAA, PCI, and SOC 2?
Yes. Strac includes pre-built policy templates for HIPAA, PCI DSS, SOC 2, GDPR, and CCPA. Every detection and enforcement action is logged with full audit trails. Strac's zero-storage architecture means sensitive data is never retained by the DLP layer.
Can I set different policies for different Claude surfaces?
Yes. Strac supports per-surface, per-data-type, and per-user-group policies. For example: Block PCI data in Claude Chat for your finance team, Warn for secrets in Claude Code for your engineering team, and Audit mode across the board for shadow AI discovery. MCP connectors use inline redaction by default.
How long does it take to deploy Claude DLP?
Under 10 minutes for browser DLP (Chrome/Edge extension deployment). Endpoint DLP (Mac/Windows agent) deploys through your MDM or manually in minutes. MCP DLP requires configuring Strac's MCP server as the intermediary — typically under 30 minutes with the setup guide.
Does Strac detect sensitive data in images uploaded to Claude?
Yes. Strac is the only DLP that performs OCR on images (JPEG, PNG, screenshots) uploaded to Claude and detects PII, PCI, and PHI within them. This covers screenshots of customer records, photos of documents, and any other image-based sensitive data.
Can I use Strac Claude DLP alongside Strac's SaaS DLP?
Yes. Strac is a unified data security platform. Claude DLP, SaaS DLP (Slack, Google Drive, M365, Zendesk, etc.), Cloud DLP (AWS, Azure), and Endpoint DLP all run from a single console with unified policies, detection, and audit trails. See all 50+ integrations →
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