The author suggests that for XDR to remain relevant, it needs to have access to more data and possibly collaborate with large AI and cybersecurity vendors. However, the author also acknowledges the challenges in this, especially when AI players also have interests in the cybersecurity space. The author concludes by stating that point solutions are no longer effective and the industry needs to find new ways to fight back against AI.
Key takeaways:
- XDR (Extended Detection and Response) is a cybersecurity solution that has seen significant adoption in recent years, with its global revenue projected to reach nearly $9 billion by 2028.
- XDR is the expansion of mature solutions in network detection and response (NDR) and endpoint detection and response (EDR), aiming to unify these technologies and normalize their data for security teams.
- Artificial intelligence (AI) is increasingly being used in XDR, helping to normalize data and make sense of it, even at enterprise scale and internet speed.
- The future of XDR may be threatened by AI, as adversaries are also using AI to identify and exploit vulnerabilities. For XDR to remain relevant, it needs access to more data and possibly collaboration between large AI and cybersecurity vendors.