Ai Cybersecurity

Running effective incident simulations is an incredibly challenging task. Security teams often run at maximum capacity and have limited time for non-essential activities. This is especially true with data breach simulations. Security teams focus most energies on detecting and responding to malicious network activities occuring early during attacks. In this context, data breaches typically are the end result, rather than the trigger, of a successful network compromise. Because of these constraints and considerations, data breach simulations must perfectly balance planning efficiency, realism and value generation - fortunately, by using a few simple tricks, this balance is generally achievable for most security teams.

If you work in cybersecurity governance, risk and compliance (GRC), chances are you’ve been asked to run rapid risk assessments. The story is often the same: you are going about your day when suddenly a manager asks you to run a security risk assessment for a new tool or project. Unsurprisingly, deadlines are often tight as everything stops while stakeholders wait for security approval. When this happens, how can we deliver risk assessment as fast as possible?

ChatGPT is generating a large impact on many sectors and industries. From education and business to entertainment and publishing, this technology is accelerating many repetitive tasks that once required many hours of human work.

ChatGPT is also proving useful in the cybersecurity industry. Many vendors are in fact integrating ChatGPT capabilities within their tools in order to provide enhanced threat detection, automating security tasks and improving vulnerability management.

However, most of these advanced applications are still either under development or accessible to smaller groups of paying customers. However, there are other areas where ChatGPT can immediately help smaller cybersecurity teams. For example, ChatGPT can greatly accelerate the production of documentation and policies.