Automating Pentests: AI and Integrations for Enhanced Security

Imagine this: your IT security team spends hours, even days, conducting penetration tests, manually checking each vulnerability. Meanwhile, your business loses thousands of dollars, and competitors aren't sitting still. Sound familiar? In the fast-paced world of cyber threats, where every minute counts, traditional penetration testing methods no longer meet the demands of the time.

As an IT security leader, you know how crucial it is to identify weak spots in time. Yet, you face constant delays and human errors. This not only slows down processes but also jeopardizes your company's reputation. Every week of inaction is another opportunity for attackers to breach your systems.

But what if most of this work could be automated? Using integrations and advanced AI technology to cut down on pentesting time and minimize errors? This isn't science fiction but the very near future knocking on the door.

Why It's Painful (with numerical data and details)

Every day, IT security leaders grapple with numerous challenges. One of the main hurdles is conducting penetration tests to find vulnerabilities. However, this process often requires a lot of time and effort. On average, a specialist needs about 40 hours to conduct a single pentest, with up to 30% of that time spent on manual data processing and report writing. This not only drags out the entire process but also increases the chance of errors. Statistics show that manual processing results in 20% more errors in reports compared to automated methods.

Due to the lack of automation, a lot of manual work is required, complicating project management and increasing the risk of errors. In a competitive environment with growing threats, it's increasingly difficult for companies to maintain quality and timely protection of systems and data. Therefore, automating pentests becomes not just desirable but a vital measure to boost the efficiency and reliability of the IT security department.

How We Will Act (Plan and Tools)

Implementing automation in pentesting processes will help reduce execution time by 30%, decrease errors by 20%, and increase the number of tests conducted by a quarter. For this, we will use tools like Bitrix24, n8n, OpenAI, Telegram Bot API, Google Sheets, and Make.com.

• Gather vulnerability information using scanners and transfer the data to Google Sheets.
• Process data in Google Sheets and automatically create tasks in Bitrix24.
• Generate vulnerability report texts using OpenAI.
• Notify about pentest results via Telegram Bot.

This strategy minimizes manual labor, enhances data accuracy, and speeds up information processing.

Step 1: Setting Up Data Collection Automation

We start by automating the collection and transfer of data about identified vulnerabilities. For this purpose, we'll use n8n and Google Sheets. N8n allows you to set up automatic task launches on a schedule.

1. Create a new project in n8n by adding a Webhook node to receive data from vulnerability scanners.
2. Set up an HTTP Request node to send information to Google Sheets using the API. Use the endpoint sheets.spreadsheets.values.update to update the vulnerability table.
3. Ensure that data is successfully transferred to Google Sheets and updated in real-time.

(illustration: Setting up the HTTP Request node in n8n)

Step 2: Data Processing and Task Creation in Bitrix24

After gathering vulnerability information in Google Sheets, the next step is to process it and create tasks in Bitrix24. This enables the team to respond more quickly to identified vulnerabilities.

1. Set up integration between Google Sheets and Bitrix24 using Make.com. Use the Google Sheets module to read data and the Bitrix24 module to create tasks.
2. Create a scenario that triggers when data is updated in Google Sheets and sends a request to the Bitrix24 API via the endpoint crm.deal.add to create a new task.
3. Configure task parameters, including a description of the identified vulnerability and priority execution.

(illustration: Setting up a scenario in Make.com for creating tasks in Bitrix24)

Step 3: Report Generation via OpenAI

Automatic generation of vulnerability reports using OpenAI significantly speeds up documentation preparation and reduces the likelihood of errors.

1. Use the OpenAI API for report text generation. Set up the endpoint POST /v1/completions for sending text generation requests.
2. Prepare a request template containing key data about identified vulnerabilities and the desired report format.
3. Integrate this process into n8n for automatic report generation after data updates in Google Sheets.

(illustration: Setting up the HTTP Request node in n8n for interaction with OpenAI)

Step 4: Notifications via Telegram Bot

To promptly inform the team about pentest results, we'll use the Telegram Bot API for sending notifications.

1. Create a Telegram bot and obtain a token for working with the API.
2. Set up n8n to send messages via the Telegram Bot API. Use the endpoint POST /sendMessage for dispatching notifications.
3. Formulate notification texts to include brief information about identified vulnerabilities and a link to the full report.

(illustration: Setting up the HTTP Request node in n8n for sending messages via the Telegram Bot API)

Pitfalls and How to Avoid Them

During automation, it's essential to consider potential issues and know how to circumvent them:

• API Limits: Be mindful of API limitations, especially when handling large data volumes. Data processing can be organized in batches to avoid disruptions.
• API Instability: Regularly check API documentation for changes and updates to prevent integration malfunctions.
• Data Confidentiality: Ensure no confidential information is included in data sent to OpenAI. Consider using local NLP models if necessary.
• Integration Errors: Conduct thorough testing of all scenarios in n8n and Make.com before going live.

Metrics: How to See the Results

To assess the success of automation, monitor several key indicators:

• Pentest Execution Time: Compare the average pentest duration before and after automation. A 30% reduction is expected.
• Report Errors: Count the number of errors in reports before and after implementing automation. An expected reduction is 20%.
• Number of Tests Conducted: Track the increase in the number of pentests conducted. An expected increase is 25%.

These metrics will help determine how effectively automation has been implemented and identify areas that require improvement.

What to Do Right Now

Automating pentests using integrations and AI can significantly simplify your work and improve results. To start this process, follow a few simple steps:

• Evaluate Current Processes: Review existing pentest methods to identify areas that benefit most from automation.
• Explore Integration Opportunities: Familiarize yourself with the capabilities of platforms like n8n and Make.com to understand which tools can connect various systems and services.
• Ensure Data Security: Reassess your data privacy policies to ensure information security when integrating with external services and AI.
• Start Small: Implement automation gradually, starting with less critical processes, and gradually scale solutions to more important areas.

When to Call Us

FlowFrame is always ready to assist you with implementing cutting-edge solutions for security automation. We know how to tailor tools to your specific needs. Just visit our website and start a chat with the AI bot to schedule a consultation and discuss your tasks in more detail. We're here to make your path to automation safe and effective!