The key to greater security: behavior-based detection
Machine learning (ML) is playing an increasingly important role in cybersecurity. For example, when behavior-based detection is used, the behavior of all processes running in the system can be examined. This includes analyzing the connections they make with other processes or the files they open. Ultimately, they can also be judged as either good or malicious. This allows data from various suspicious individual activities to be combined, along with the determination that they all belong to a single attack.
Artificial intelligence (AI) also comes into play here: with the help of machine learning and Generative AI (GenAI), the chance of detecting and collecting individual weak signals increases further. Each signal alone is not malicious enough to trigger an alarm, but collectively they are – this is exactly what defines attack detection as a pattern. GenAI can therefore be a very useful tool in this environment.
This sentiment is also shared by the participants of the Elastic Study: 100 percent of the surveyed German companies indicate that they want to use generative AI within their security teams. Particularly in conjunction with ML, generative AI can assist in a variety of tasks – from investigating alerts to responding to security incidents, to generating and converting search queries using natural language. Depending on the tool, simple integrated prompts can help with application, as well as self-formulated prompts that go beyond what the integrated functions offer.
In conclusion, the integration of behavior-based detection, machine learning, and generative AI can greatly enhance security measures for companies facing cyber threats. By combining these technologies, organizations can stay one step ahead in detecting and mitigating potential attacks before they cause significant damage. The importance of leveraging AI and ML in cybersecurity cannot be understated, as the threat landscape continues to evolve and become more complex. Embracing these technologies is crucial for safeguarding sensitive data and preventing security breaches in an increasingly interconnected digital world.