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.

When it comes to startup operations, one aspect that can often be overlooked in the early stages is the development of a comprehensive and robust policy library. This is especially important when considering information policies, which govern the use, management, and security of data and technology in your organization. Establishing these policies not only sets clear expectations for employees but also assures customers about your company’s commitment to security and reliability. Using AI like my GPT-4 GRC approach can streamline this process.

In a previous post, we explored the vast potential of OpenAI’s GPT-4 in the information security space, specifically how it could augment security teams by running third-party vendor assessment with ChatGPT. We now turn the theoretical into practical by sharing our experience of running a vendor security assessment.

Building a policy library from scratch can be a daunting task, but with GPT-4, we’ve streamlined the process. The key was to converse with the AI model to create a comprehensive set of policies that are easy to understand and align with best security practices. The policies cover topics ranging from Information Security, Change Management, Incident Response, Disaster Recovery, and Third-Party Vendor Assessment.

As the cybersecurity landscape rapidly evolves, leveraging the most advanced tools is no longer optional – it’s imperative. One such emerging technology garnering attention is large language models (LLMs) like GPT-3. Thanks to their ability to understand and generate human-like text, LLMs offer exciting opportunities to streamline and enhance various aspects of a cybersecurity program. However, as with any technology, they come with their own set of challenges and risks that need to be managed carefully before adding a tool like ChatGPT in Cybersecurity programs.