ChatGPT for Threat Intelligence: Proactive Security with AI

As we progress into an era of increasing cybersecurity threats and expanding digital footprints, the need for effective threat intelligence cannot be overstated. In our previous posts, we’ve explored the vast potential of AI, specifically OpenAI’s GPT-4, in bolstering our information security stance. From crafting policies to assisting with third-party vendor assessments, we’ve seen first-hand how this powerful AI model can streamline and enrich various aspects of a robust cybersecurity program. Today, we’re diving deeper and unveiling our newest addition: ChatGPT for Threat Intelligence.

In essence, threat intelligence is the methodical collection and analysis of information about potential or current threats to an organization’s security. It’s a proactive stance, one that aims to preemptively identify potential threats before they can do harm. As part of this endeavor, we’ve expanded the role of GPT-4 to aid in the analysis and interpretation of threat-related data.

We’ve recently developed and added a comprehensive Threat Intelligence Policy to our open-source GRC library. This policy outlines the steps to monitor and analyze potential threats, and how to communicate and respond to these threats within the organization. It sets clear expectations and guidelines for different roles within the organization, from security analysts to reporters.

But where does GPT-4 come in? By leveraging ChatGPT for Threat Intelligence, we’re able to automate and streamline some of the more complex aspects of threat intelligence. When news of a potential security threat surfaces, whether through an official advisory or a news report, GPT-4 can analyze the information provided, compare it to the existing security controls and policies, and determine if there’s a potential risk to the organization. It can then provide an assessment, suggesting preventive or mitigating controls if necessary.

To illustrate, let’s walk through an anonymized example. In this scenario, a requestor shares a news article detailing a significant data breach. GPT-4 analyses the information, takes into consideration the organization’s existing security controls, and assesses the potential risk to the organization. In our case, GPT-4 assured that the organization was not at risk due to stringent access controls and vigilant monitoring already in place. However, it also suggested implementing enhanced logging and establishing a baseline of normal activity, to be better prepared for similar threats in the future.

This GPT-4 powered threat intelligence program is flexible and can be utilized effectively by in-house security teams or Managed Security Service Providers (MSSPs). The nature of the threats we face is evolving rapidly, but with AI in our corner, we can stay a step ahead.

In conclusion, the potential for AI, and specifically GPT-4, in the field of information security is immense and still being explored. This new frontier of AI-augmented threat intelligence is an exciting development, promising to change the game for small and large organizations alike. Stay tuned for our future ventures with GPT-4 in the realm of information security.

Remember, the policies and procedures we’re developing are available on GitHub under the Creative Commons Zero (CC0) license, allowing you to use them freely and without restriction. Embrace the future of InfoSec with us and leverage the power of AI to fortify your organization.

2 thoughts on “ChatGPT for Threat Intelligence: Proactive Security with AI”

  1. I would be interested to hear more about this. I had heard that ChatGPT is only trained on data several years old. Wouldn’t that present a problem or is that no longer the case? And how do you ensure that potential data leakages such as they’ve had in the past wouldn’t reveal sensitive information?


    1. Two great questions. First. Yes the training data is currency as of September 2021. So it may require you add additional context to to model. But really. Even without that I fed it details about a recent breach and it was able to properly analyze the impact to an hypothetical company I described.

      The data security issue is a bigger one. Luckily. OpenAI isn’t the only player in this game. There are certainly other LLMs with more mature data privacy stances. GPT-4 is just incredibly accessible for a humble blogger.

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