Platforms & Solutions

AI Integration with Security Platforms

AI has been and continues to be one of– if not the– hottest topic of conversation in tech circles and beyond and cybersecurity is no exception. 

Recorded Future kicked off the revolution by integrating an AI model based on ChatGPT that can provide automatic assessments of an organization’s threat landscape based on Recorded Future threat intelligence.

This month, Crowdstrike introduced Charlotte AI to its security platform in an effort to accelerate users’ ability to use the platform and contribute to closing the cybersecurity skills gap. Additionally, Crowdstrike announced a partnership with Amazon Web Services (AWS) to build on this momentum and develop generative AI solutions that will “safeguard AI where it happens” in and between cloud environments. 

Not to be excluded from the conversation, Palo Alto Networks announced that it plans to release a generative AI model that will integrate into its products by the end of the year. The company cites goals of improving detection and prevention capabilities, customer interactions with datasets, and internal operations as reasons for hopping on the AI bandwagon. 

As noted by both Crowdstrike CEO George Kurtz and Palo Alto Networks CEO Nikesh Arora, datasets that large language models are built on are the defining quality of a useful product. By integrating datasets from their platforms, which ingest millions of data points per day, generative AI can synthesize and summarize massive data streams for the users of these platforms in a way that can’t be done by widely available public AI platforms like ChatGPT or Google’s Bard (which, while great in their own right, are not suitable for adding value to the clients of security products like Crowdstrike Falcon or Palo Alto Networks Cortex).