The Path To Ai
Pave the way for powerful cybersecurity AI with integrated XDR and SIEM EBook The Path to AI Chapter_02 Stack the odds in your favour Chapter_03 Create a strong, secure foundation with integrated XDR and SIEM Chapter_04 Amplify your security operations with generative AI Chapter_05 Get ready to use Microsoft Security Copilot Chapter_01 This is a pivotal moment in cybersecurity Contents Chapter_01 This is a pivotal moment in cybersecurity This is a pivotal moment in cybersecurity Security operations are about to undergo a seismic shift. And it’s a timely one. Cybersecurity professionals face tough challenges that show no signs of abating. Attacks such as ransomware and business email compromise are becoming more frequent, highly targeted and difficult to detect, and malicious actors are continually evolving their tactics. Meanwhile, remote and hybrid work continues in full force, causing organisations to move more critical resources to the cloud. People, devices and apps need to be able to access networks from virtually anywhere, and the many endpoints and identities that result are tempting avenues of attack for cybercriminals. It’s an uphill battle that’s nearly impossible to win without the right tools. What makes it even more difficult to defend against such sophisticated adversaries and protect sprawling attack surfaces – typically spanning multiple clouds and platforms – is that security teams are often short-staffed and lack some of the expertise and resources they need detect modern attacks. The dual problems of an unfavourable economic climate and a worldwide cybersecurity talent shortage, with a projected shortfall of 3.5 million positions by 2025, have left many security teams overwhelmed and overworked. Security leaders need to empower their teams to combat these issues. Thankfully, new tools, innovative applications and an integrated approach to detection, investigation, response and protection can help tip the balance in favour of defenders. A critical part of this next generation of tools is powerful generative AI, such as Microsoft Security Copilot, that is trained to analyse threat signals and make recommendations to security teams in natural language, giving defenders crucial context help with prioritisation. It speeds up detection and response, lessening the need for complex workflows and playbooks and empowering even junior analysts to do work that previously required years of expertise. Generative AI is poised to revolutionise security operations, shrinking the time to respond to threats from hours and days down to minutes. Many organisations are refining their security With SIEM and XDR’s technologies rolled into one platform, we get a level of visibility that we have never had before. Manager of cybersecurity and IT infrastructure, professional services Cybersecurity Jobs Report: 3.5 Million Unfilled Positions In 2025, Cybersecurity Ventures, 2023. The Total Economic Impact™ Of Microsoft SIEM And XDR, a commissioned study conducted by Forrester Consulting, August 2022. stacks to lay the foundation they’ll need to use generative AI cybersecurity tools. Integrating extended detection and response (XDR) with a security information and event management (SIEM) system gives organisations the end-to- end visibility and depth of security signal and response that are the cornerstones of that foundation. This guide will show you how to begin on your path to using generative security AI, including: • How simplifying your security tools can help security teams combat some of their biggest challenges. • What efficiencies integrated XDR and SIEM can add to your security operations. • How taking the step of integrating XDR and SIEM can prepare you for the next step – using generative security AI. Chapter 1
