AI changes cybersecurity faster than many defenders understand. The attackers already use AI to automate exploration, create complex phishing baits and use vulnerabilities before security teams can respond. Meanwhile, the defenders overwhelm a lot of data and alerts, trying to process information quickly enough to discover real threats. AI proposes a way to align the game conditions, but only if safety professionals learn how to apply it effectively.
Organizations begin to integrate II into the workflow of security processes, from digital forensics to the evaluation of vulnerability and the detection of the final points. AI allows safety teams to apply and analyze more data than if you earlier, turning traditional safety tools into powerful reconnaissance engines. AI has already demonstrated his ability to accelerate investigations and reveal unknown ways of attack, but many companies are decided to fully accept it. Many AI models are implemented at such a speed that they remain unauthorized with several organizations that have some basic safety recommendations or audits for their implementation. As a result, AI may increase risks rather than cut them, especially when it comes to privacy and data protection. There is a lack of proper security culture to implement the II in organizations that should remain competitive and reduce the costs for the necessary calculations. On the other hand, you have many organizations that do not fully implement the II, even forbidding it among your employees, because of the lack of understanding of risks. There should be a balance – a reduction in risk, increasing competitiveness, reducing costs and making quick decisions for the entire organization as a fighter pilot. The only wrong solution in the above can be irreversible to the organization.
One of the biggest problems in cybersecurity is the lack of professionals studying and learning to use II effectively. Security teams should study AI progress daily because opponents adapt in hours/minutes. There is no time to wait for anyone to write a book to solve these problems, wait one week, and the book is outdated – this is exactly how fast the field is moving. Organizations covering the II will have a significant advantage over those who delay its acceptance.
To meet this need, the Sans Institute offers Applied science of data and machine training for cybersecurityThe course designed to teach specialist security specialists on how to use the main understanding of AI and machine language to wrap their organization for defense strategies. This practical learning covers how to use and build AI and machine learning models to detect threats, automate security processes and improve intelligence analysis. Security teams do not need the science of data transmission (we teach it) to go through this course, just the desire to study and apply the II in your life – daily.
For those who want to gain these critical skills Sansfire 2025 This is the perfect opportunity. The event will take place 16-21 June 2025 in Washington, Colombia CountyCombining the best cybersecurity professionals for practical training, live laboratories and discussions under the guidance of experts. Sec595: Applied science of data and machine training for cybersecurity The course will be available in Sansfire, which will allow participants to experience AI safety, and apply what they will learn immediately.
Cybersecurity develops at an unprecedented pace, and the defenders must develop with it. The question is not whether AI will be part of cybersecurity operations, but who will first master it. If you want to stay ahead of the curve, join us in Sansfire 2025. Learn more in Sans and register on Sansfire at the address Sansfire 2025.
Note: This article is written and contributed to Rob T. Lee, Head of the Sans Institute Studies.
