What are you showcasing at GISEC?
A significant topic that we’ve been discussing with clients at this year’s GISEC is the dark and malicious use of AI, such as deep fakes, malicious content, phishing emails, cloud-native attacks, and exploits developed by AI. Our message to clients this year is that legacy protection technologies—like firewalls, sandboxing, and antivirus software—are insufficient to handle this new wave of advanced AI-powered attacks. Therefore, our primary focus has been on guiding customers to adopt next-generation technologies, such as CrowdStrike, tailored for the cloud and AI era.
Are you leveraging AI and ML?
AI is not new to use and we introduced a platform that leverages AI and machine learning in a signature-less technology to detect attacks way back in 2014. I can confidently say that we’ve been pioneering the use of AI in cybersecurity for many years. Fast forward ten years, CrowdStrike has evolved from an AI-powered EDR technology into a comprehensive end-to-end cybersecurity platform. Today, we address numerous use cases for our clients, including threat intelligence, vulnerability management, asset classification, integrity monitoring, and next-generation SIEM. Our platform has continuously expanded by integrating AI and cloud concepts over the years.
What makes you stand out in the XDR market?
When we started our EDR product around 2014, there were fewer players in the market. Today, the best EDR products are becoming part of broader platforms. Standalone EDR solutions, which are like one-trick ponies, won’t suffice in the coming years. We believe that solution providers capable of transforming into cloud-native platforms with a single agent and a single console will have a bright future in the XDR market. Being cloud-native with a single agent and single console has been a cornerstone of CrowdStrike’s innovation for many years, and this is our unique selling point.
How do you see threat landscape evolving?
We’re seeing significantly less malware and a sharp rise in fileless and cloud-native attacks. According to our Global Threat Report launched a few months ago, cloud-native attacks have nearly doubled. There’s also a growing trend of leveraging large language models and generative AI to create malicious content, including deep fakes and phishing emails. AI is being used to develop code that targets vulnerabilities, enabling the rapid creation of new exploits. As the threat landscape becomes more complex, next-generation, cutting-edge technologies are essential to stay ahead of these evolving threats.
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