Cloud security has become increasingly important as businesses rely on the cloud to power their operations. As a result, security vendors like CrowdStrike Inc. are turning to advanced artificial intelligence (AI) tools to protect client workloads and data.
According to George Kurtz, the founder, president, and CEO of CrowdStrike, there has been a 95% increase in cloud service exploitation over the past year. Adversaries have realized that the cloud presents a great opportunity to exploit services, gain data, and ransom other organizations. This has led to the need for new approaches and technologies to protect businesses in the cloud.
Over the past decade, CrowdStrike has witnessed the evolution of the cloud from a platform surrounded by questions and uncertainty to a fully accepted part of the business world. To adapt to the demands of protecting workloads in complex cloud environments, CrowdStrike has focused on creating a common cloud experience for its users. This includes providing consistent visibility across multiple clouds from one console.
In addition to harmonizing controls across clouds, CrowdStrike has embraced AI as a tool for identifying threats. The company has been utilizing AI from the beginning, using it to analyze files and compute the probability of whether they are good or bad. As AI and machine learning have advanced, CrowdStrike has leveraged these technologies to build alert systems based on events and chain them together to indicate an attack.
In May, CrowdStrike introduced Charlotte AI, a generative AI chatbot that helps businesses understand and address breaches faster. This chatbot combines the collective knowledge of CrowdStrike’s security analysts to provide advanced analysis and assist organizations in their security efforts.
With adversarial AI and generative AI on the rise, the ability to exploit vulnerabilities and compress the timeframe for exploitation is becoming a concern. Threat actors can leverage AI models to reverse engineer new patches and create exploits that can be monetized on the gray market.
In conclusion, CrowdStrike is embracing AI and machine learning to protect businesses in the cloud. The company has evolved alongside the cloud, providing consistent visibility and protection for workloads in complex cloud environments. By leveraging AI, CrowdStrike can identify threats and chain events together to detect attacks. The introduction of Charlotte AI further enhances CrowdStrike’s ability to address breaches quickly. However, the rise of adversarial AI and generative AI poses new challenges that need to be addressed in the evolving landscape of cloud security.
Overall, CrowdStrike’s emphasis on AI and machine learning demonstrates its commitment to keeping up with the evolving threats in the cloud and providing effective protection for businesses.
