By Gizem Yılmaz, Product Owner, Nextray AI
In the modern digital era, the significance of cyber security has escalated. With the growing dependence of businesses and organizations on technology, their susceptibility to cyber attacks has also risen. Due to the ever-evolving nature of cyber attacks, it is practically impossible for an individual to manually detect and mitigate all the threats faced by a company. Hackers continuously devise new attack methods with specific objectives in mind. To counter these threats, cyber security experts must constantly adjust their strategies. Take the case of log4j, for instance, which went unnoticed for a long time before resurfacing in December 2021. Introducing such unknown threats into a network can result in significant damage, potentially impacting the organization in profound ways if not promptly detected, identified and prevented. Artificial intelligence (AI) has emerged as a valuable tool in this realm, offering promising solutions. Let’s delve into the exciting realm of ML-powered NDR and discover the transformative impact it has on safeguarding networks against evolving cyber threats.
Increased efficiency with the analysis of large volumes of security data
In the realm of cybersecurity, the volume and complexity of security data continue to grow exponentially. Analyzing large volumes of data in cybersecurity for threat detection is challenging due to the need for real-time analysis, handling diverse data sources and formats, identifying subtle patterns or indicators of threats amidst noise, and ensuring the accuracy and reliability of the detection algorithms to minimize false positives and negatives. Machine learning (ML) brings efficiency to analyzing large volumes of data in cybersecurity for threat detection by leveraging its ability to process data at scale, detect complex patterns and anomalies, identify previously unknown threats, and automate the analysis process. ML algorithms can quickly analyze vast amounts of data, allowing for real-time threat detection, reducing response times, and improving the accuracy of threat identification. ML’s efficiency in handling large data volumes enables security teams to effectively detect and respond to threats, minimizing the risk of potential damages and enhancing overall cybersecurity posture.
Improved accuracy with ability to continuously learn and adapt
The accuracy of AI in cybersecurity is strengthened because it can constantly learn and adjust. By training machine learning algorithms on extensive datasets that cover a wide range of threat scenarios and behaviors, they become better at detecting threats as time goes on. As AI algorithms acquire new data, they can fine-tune their models and detect emerging threat patterns more accurately. This adaptable characteristic of AI enables organizations to proactively address evolving cyber threats and significantly improves the precision of their cybersecurity defenses.
Empowering security with unveiling Unknown Threats
AI’s advanced algorithms and capabilities enable the unveiling of hidden dangers, empowering security teams to stay one step ahead of cybercriminals. Artificial Intelligence (AI) is instrumental in detecting unknown threats in cybersecurity, filling the gap left by traditional signature-based methods that focus on known threats. With cybercriminals continuously evolving their attack techniques, the ability to identify and respond to unknown or zero-day threats is paramount. AI empowers security systems to employ advanced techniques like behavioral analysis, anomaly detection, and predictive analytics, enabling the detection of abnormal patterns and suspicious activities. This proactive approach enables the identification of potential threats that could bypass traditional methods relying solely on known signatures.
In summary, the advancements of ML in network detection and response revolutionize cybersecurity by offering increased efficiency in data analysis, improved accuracy through continuous learning, and the ability to unveil unknown threats. By harnessing the power of AI, organizations can strengthen their cybersecurity defenses, stay one step ahead of cybercriminals, and safeguard their networks against the ever-evolving landscape of cyber threats.
About the Author
Gizem Yılmaz is the Product Owner of the Nextray AI. Gizem Yılmaz stands out as an experienced Data Analyst and Product Owner. She focuses on value maximization, works on the discovery of features to add to the product, and manages the priorities of ongoing work. She is a professional specialized in data analysis and a person who provides significant added value to the product development process. With its data analysis skills and strategic thinking abilities, she supports the decision-making processes of the business and the product development process. Gizem also provides effective communication between teams and collaborates to ensure that projects are completed on time and successfully. With its professional experience and leadership competencies, it makes a valuable contribution to the achievement of the global goals of the enterprise.
See more information about Gizem at https://www.linkedin.com/in/gizem-yilmaz/