CrowdStrike today unveiled a platform, dubbed Falcon IQ, that operationalizes vulnerability discovery and remediation using data collected from partners participating in a Project QuiltWorks initiative the company launched earlier this year.
Announced at its Fal.Con 2026 conference, CrowdStrike also revealed that Abnormal AI, Artemis Security, AttackIQ, ExtraHop, HackerOne, Horizon3, Netskope, Picus Security, Rubrik, SafeBreach, Terra Security, and Zscaler are now providing data directly to the Falcon Next-Gen SIEM platform. Previous members of Project QuiltWorks include Accenture, EY, IBM Cybersecurity Services, Kroll and OpenAI.
Falcon IQ leverages open Nemotron artificial intelligence (AI) models from NVIDIA along with multiple frontier AI models to analyze data collected at machine speed from, for example, cloud services provided by Amazon Web Services (AWS).
That approach makes it possible to validate and prioritize code vulnerabilities and remediate them at runtime at machine speed using Falcon Foundry, an endpoint detection and response (EDR) service, and more than 50 Charlotte AI agents that CrowdStrike already makes available.
Additionally, Falcon IQ is able to correlate customer telemetry, CrowdStrike threat intelligence, and findings from the Falcon OverWatch threat monitoring service to both generate playbooks that can be deployed via a single click and assess an organization’s overall risk level.
Daniel Bernard, chief business officer for CrowdStrike, said Falcon IQ provides the method for productizing the Project QuiltWorks methodology based on the NVIDIA Nemotron AI model that is rapidly becoming a de facto standard. In fact, CrowdStrike in total now has 20 partners participating in a program that has added $400 million to the CrowdStrike sales pipeline, he added.
Project QuiltWorks was originally launched as a response to the advances in AI models that are making it relatively simple to discover thousands of vulnerabilities in applications and the infrastructure they run on. Less clear yet is to what degree those AI models will lead to the creation of novel cyberattacks, but for now most of the exploits that have been attributed to AI are largely variations of known attacks that existing tools and platforms seem capable of identifying and thwarting. However, cyberattacks will inevitably increase in frequency to the point where platforms such as Falcon IQ may be needed to thwart them at machine speed.
Ultimately, every organization whether they like it or not is locked in an arms race that will require additional cybersecurity funding. The issue that is harder to determine is how much funding will be required and, just as importantly, how soon. Additionally, cybersecurity teams will need to research to what degree investments in AI technologies might enable them to rationalize existing tools and platforms to help fund the acquisition of new AI capabilities.
In the meantime, the hope is that adversaries will not find some novel way to launch cyberattacks using AI before cybersecurity teams are able to get their houses fully in order. However, if history is any guide, all too often the funding required to achieve that goal isn’t made available until some type of breach makes it obvious there is an actual need.