CrowdStrike this week extended its alliance with Amazon Web Services (AWS) to automate configuration of its Falcon security information event management (SIEM) platform in addition to providing a consumption-based pricing option to organizations deploying its platforms on the AWS cloud.

Announced at the re:Invent 2025 conference, CrowdStrike also announced an alliance with Accenture to deploy CrowdStrike offerings on AWS cloud services.

Additionally, CrowdStrike revealed it is using Amazon EventBridge, a serverless event bus, to stream data from AWS Security Hub and Amazon GuardDuty into its platform, along with adding support for Amazon Athena to provide federated search capabilities to data stored in the Amazon Simple Storage Service (Amazon S3).

Finally, CrowdStrike has gained an Amazon Web Services (AWS) Agentic AI Specialization competency for its work securing artificial intelligence (AI) agents deployed on AWS cloud services. Earlier this year, CrowdStrike acquired Pangea to add an AI detection and response platform to its portfolio.

Daniel Bernard, chief business officer at CrowdStrike, said these extensions and additions deepen a relationship that has already resulted in CrowdStrike becoming the first AWS partner to generate $1 billion in annual sales via the AWS Marketplace.

In general, more organizations are concluding that they will need to rely more on external expertise to apply AI to security workflows, said Bernard. Few organizations have the skills required to build, customize and maintain the AI models required to provide those capabilities, he added.

The only viable approach to achieving and maintaining cybersecurity is to rely more on providers of platforms and services such as CrowdStrike that are able to make the investments required to thwart cyberattacks that are increasingly being launched in near real-time by botnets that are increasingly being infused with agentic AI technologies, noted Bernard.

More troubling still, many cybersecurity teams are also starting to realize that many of the legacy cybersecurity tools they have previously invested in are not up to the challenge of defending organizations from modern threats, he added. Many of those cybersecurity teams, as a result, are re-evaluating the degree to which they want to deploy and maintain cybersecurity tools and platforms versus relying more on software-as-a-service (SaaS) platforms and managed security service providers (MSSPs), said Bernard.

Less clear, however, is the impact AI will have on a skills shortage that has long plagued cybersecurity teams. In theory, as more tasks become automated, the current level of shortage of cybersecurity expertise might not be nearly as acute. Regardless of the level of adoption of AI, it’s apparent that organizations either are or soon will be re-evaluating existing roles and responsibilities within their cybersecurity organizations. There is, for example, a much greater need to be able to first better quantify risks to the business and then minimize them, noted Bernard.

In the meantime, however, cybersecurity teams should be preparing for an onslaught of cyberattacks as cybercriminal syndicates not only use AI to more rapidly discover and exploit vulnerabilities but also find themselves being asked to secure applications developed using AI coding tools that might have a lot more vulnerabilities than most organizations have yet to fully appreciate.