TG-Staff Pro Content Risk Control Deep Dive: Sensitive Word Groups, Wallet Address Monitoring, and Auditing

Cross-border customer service, Web3 projects, and community operations teams handle a large volume of messages daily on Telegram Bot. A single careless action—such as an agent mistakenly sending a message containing sensitive words or incorrectly sharing a payment address—can lead to user complaints, financial disputes, or even compliance risks. TG-Staff Pro’s built-in content risk control features are designed to address these “invisible vulnerabilities.” This article will guide you through the configuration and usage of sensitive word groups, wallet address monitoring, and audit logs, ensuring your customer service system is both efficient and secure.

Why Do Telegram Bot Customer Services Need Content Risk Control?

Let’s look at a few real-world scenarios (not customer cases, only typical descriptions):

• Web3 exchange customer service: An agent mistakenly pastes an internal team payment address into a conversation while replying to a user. The user transfers funds directly, leading to subsequent ownership disputes.
• Cross-border community operations: An operator sends a guidance message containing terms like “private key” or “seed phrase” to a user via Bot. The message is screenshotted and circulated, raising security concerns.
• Compliance pressure: Certain regional regulations require auditing messages sent by customer service agents, especially in finance and cryptocurrency sectors, necessitating complete message traceability.

Traditional approaches rely on manual spot-checking of chat records, which suffers from poor timeliness, incomplete coverage, and inability to intercept messages before they are sent. TG-Staff Pro’s content risk control automatically detects message content the moment an agent clicks “send,” triggering pop-up alerts or directly blocking the message when risk words are hit, preventing risks at the source.

Core Capabilities of TG-Staff Pro Content Risk Control

Pro content risk control offers three core capabilities: sensitive word groups, wallet address monitoring, and audit logs. Together, they form a complete loop of “configuration → interception → traceability.”

Sensitive Word Groups: Customizable Risk Lexicon

You can create multiple risk word groups per project, each containing several keywords. Keywords support two matching modes:

• Exact Match: Triggered when the message content exactly matches the keyword. Suitable for fixed terms like “private key” or “seed phrase”.
• Fragment Match: Triggered when the message content contains the keyword fragment. Suitable for common words like “wallet”, “address”, “transfer” to prevent agents from mentioning them unnecessarily.

Each word group can be independently enabled or disabled, and can be associated with specific projects. For example, Project A uses the “Financial Sensitive Words” group, while Project B uses the “Web3 Security Words” group, without interference.

Wallet Address Monitoring: Designed for Web3 Scenarios

This is the most industry-specific feature in content risk control. You can add specific blockchain addresses (or address fragments) to risk word groups to monitor whether outbound messages from agents contain these addresses.

Supported address types:

• TRC20 addresses (e.g., TXYZ...)
• ERC20 addresses (e.g., 0xABC...)
• BTC addresses (e.g., 1ABC... or bc1...)
• Custom address fragments (e.g., entering only the first few characters of an address to match all addresses starting with those characters)

Configuration is the same as regular sensitive words: simply add the address or address fragment as a keyword to a word group. This is particularly useful in scenarios such as:

• Preventing agents from mistakenly sending internal team payment addresses to users.
• Monitoring whether agents actively request user wallet addresses in conversations (combining patterns like “please transfer to” + address).
• Ensuring compliance by preventing unauthorized payment information from appearing in customer service conversations.

Audit Logs: Who, When, and What Was Triggered

Every risk control interception is recorded in audit logs, accessible to administrators at any time. Log fields include:

• Agent: The agent account that triggered the risk word
• Session: The corresponding Telegram user session
• Trigger Time: Precise to the second
• Risk Word: The specific keyword and its associated word group that was hit
• Interception Result: Blocked / Sent after secondary confirmation

Audit logs are key evidence for post-event tracing. When user complaints or internal reviews occur, administrators can quickly identify which agent, in which session, was blocked for which word, and whether the message was ultimately sent. It is recommended to export audit logs periodically (e.g., weekly) and include them in internal compliance reports.

How to Configure Sensitive Word Groups and Wallet Address Monitoring (Step-by-Step Guide)

The following steps are based on the TG-Staff console (https://app.tg-staff.com/），假设你已拥有专业版套餐。).

Step 1: Enter Content Risk Control Settings

Log in to the console, navigate to the target project’s “Project Settings” page, and find the “Content Risk Control” option in the left menu. When entering for the first time, you will see an empty list of risk word groups.

Step 2: Create a Risk Word Group

Click “Create Group”, fill in the group name (e.g., “Web3 Security Words”), and then start adding keywords.

Example Keywords:

Keyword	Matching Mode	Description
Private Key	Exact Match	Prevents agents from directly mentioning private keys in conversations
Seed Phrase	Exact Match	Same as above
Transfer Address	Fragment Match	Prevents agents from guiding transfers unnecessarily
TXYZabcdef123456…	Exact Match	Fill in internal team payment address (full address)
0xABC	Fragment Match	Matches all Ethereum addresses starting with 0xABC

After adding, click “Save Group”. You can create multiple groups, each managed independently.

Step 3: Associate Projects and Test

Return to the group list, click “Associate Projects” on the right side of the target group, and select the projects that need to enable this group. One group can be associated with multiple projects, and one project can be associated with multiple groups.

Test Verification:

1. Log in to the console as an agent and open a Telegram user session.
2. Enter a message containing a risk word (e.g., “Please send me your private key”).
3. Click send; the system will pop up a prompt: “The message contains the risk word ‘Private Key’. Are you sure you want to send?”
4. Administrators can adjust interception strategies in content risk control settings: choose “Block” to prevent sending, or “Secondary Confirmation” to allow agents to manually confirm before sending.

Typical Scenarios and Effects of Wallet Address Monitoring

Wallet address monitoring is a must-have for Web3 teams. Here are some typical use cases:

Scenario 1: Exchange customer support prevents sending wrong deposit addresses

Exchanges usually have multiple hot and cold wallet addresses. When replying to users about deposits, agents may mistakenly send internal collection addresses to users, causing deposits to not be credited. By adding internal collection addresses to risk phrases, the system immediately intercepts and alerts if an agent sends them, preventing fund errors.

Scenario 2: NFT projects prevent agents from soliciting bribes

Some malicious agents may ask users for “Gas fees” or “handling fees” in conversations and guide them to transfer funds to personal addresses. Monitoring common bribery phrases (like “Please transfer to” or “Gas fee address”) combined with personal address fragments can effectively detect and stop such behavior.

Scenario 3: DeFi project compliance and internal control

During DeFi project operations, customer conversations may involve sensitive information like token contract addresses and staking addresses. Wallet address monitoring ensures agents only send these addresses in authorized conversations, preventing information leaks.

Audit Logs: Complete Loop from Interception to Tracing

Content risk control isn’t just about “blocking”—it also needs “checking.” Audit logs provide post-event tracing capabilities.

Steps to query audit logs:

1. In the console, go to “Project Settings” → “Content Risk Control” and click the “Audit Logs” tab.
2. Filter by agent, risk phrase, or trigger time period.
3. Click on each record to expand and view the full trigger context (including message content and whether it was ultimately sent).

How to integrate audit logs into compliance processes:

• Regular reviews: Export audit logs weekly to check for agents frequently triggering risk phrases and provide targeted training.
• Anomaly alerts: If an agent triggers risk phrases frequently in a short time (e.g., more than 5 times in an hour), recommend manual admin intervention.
• Compliance archiving: Use audit logs as evidence for customer service quality management and handle user complaints accordingly.

Professional Content Risk Control vs. Manual Review: Efficiency and Security Comparison

Dimension	Manual Review (Random Sampling)	TG-Staff Professional Content Risk Control
Timeliness	Post-event review, messages already sent	Real-time interception, detection before sending
Coverage	Sampling, cannot cover 100%	Automatically covers all agent outbound messages
Labor cost	Requires dedicated staff to periodically check chat logs	Zero manual intervention, configure once and it works continuously
Wallet address monitoring	Hard to manually identify all address variants	Supports address fragment matching, precise interception
Traceability	Relies on exporting chat logs, inefficient	Audit logs automatically recorded, filterable and exportable
Scalability	Costs increase with team size	Adding agents doesn’t increase complexity

For teams handling hundreds or even thousands of conversations daily, manual review is nearly impossible to cover everything. Automated content risk control is the lowest-cost solution for ensuring customer service security.

FAQ

Q: Does the content risk control feature require extra payment? A: No. Content risk control is a built-in feature of TG-Staff Professional. It’s available after purchasing the Professional plan with no additional fees.

Q: Can I configure multiple sensitive phrase groups for one project? A: Yes. You can associate multiple risk phrase groups with a project, each containing multiple keywords, and enable or disable groups as needed.

Q: Which blockchain networks does wallet address monitoring support? A: It supports configuring addresses or address fragments for common chains like TRC20, ERC20, and BTC. Simply add the target address or partial string to a risk phrase group.

Q: How long are audit logs retained? A: Professional audit log retention matches the subscription period. We recommend regularly exporting important records for backup.

Q: If an agent’s message is intercepted by mistake, can it be manually released? A: Yes. When a risk phrase is triggered, the agent sees a popup prompt and can choose to confirm sending (double confirmation) or cancel. Admins can adjust the interception strategy (block or double confirm) in settings.

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Content risk control is an “invisible but important” security line in the Professional plan. If you’re running a Telegram Bot requiring multi-agent customer service, especially for finance, Web3, or cross-border businesses, we strongly recommend configuring sensitive phrase groups and wallet address monitoring before going live.

Sign up for a free 3-day trial of TG-Staff now and experience professional content risk control: https://app.tg-staff.com/

Need configuration guidance or plan details? Contact our customer service bot: @tgstaff_robot

Check official docs for full feature descriptions: https://docs.tg-staff.com/