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• ➞Explain the ability of Artificial Intelligence to evaluate large volumes of data from different sources, identify patterns of activity in an organization, and identify anomalous behavior.
• ➞To better understand its usefulness in detecting so-called “false positives.”
• ➞To learn how Generative Artificial Intelligence creates new content based on the existing data structure and how it facilitates the work of security professionals.
• ➞Understand how cyber attackers can infect and use Artificial Intelligence to their advantage, cracking large numbers of passwords simultaneously, sophisticated impersonation or developing malware that is very difficult to detect.
• ➞Understand the ability of Artificial Intelligence algorithms to synthesize data into actionable recommendations to resolve incidents quicker and more efficiently.
• ➞Learn how Artificial Intelligence can generate simpler, more readable reports and respond to incidents using visual tools and graphics that can be quickly shared across the organization.
• ➞Analyze how generative Artificial Intelligence can early detect certain cyber threats, detect the presence of unauthorized users infiltrating the network, as well as help discriminate and identify the most relevant potential threats.
• ➞How Artificial Intelligence detects behavioral threats that may not initially appear suspicious but, when correlated with other activities, reveal signs of a potential cyberattack.
• ➞Highlight the importance of accountability in the compilation of Generative Artificial Intelligence in security solutions, as well as its reliability, security, and maintenance of data privacy.
• ➞Analyze how companies should stay ahead of and protect themselves from cyber threats powered by Artificial Intelligence.
• ➞To explore whether Artificial Intelligence could eventually replace security professionals, or rather serve as a powerful tool to enhance their effectiveness.
• ➞Apply Artificial Intelligence to strengthen Access Management (IAM) systems and processes.
• ➞Understand how Artificial Intelligence helps security professionals detect the connection points being used within an organization, as well as how to keep them up to date and boost their security.
• ➞Highlight the usefulness of Artificial Intelligence to detect and make visible the risks and vulnerabilities that the use of cloud applications can have for an organization.
• ➞Understand the use of Artificial Intelligence to identify and tag sensitive data both in the organization’s infrastructure and in the cloud, as well as to help detect attempts to extract data outside the enterprise.
• ➞Learn how generative Artificial Intelligence can simplify the investigation in the face of a cybersecurity incident by translating analysis into natural language.
• ➞Understand the ability of Artificial Intelligence to detect hidden risks such as the use of unknown devices, the existence of unprotected sensitive data, or outdated operating systems, as well as security breaches in cloud applications.
• ➞Learn how traditional firewalls are being transformed by Artificial Intelligence algorithms, from simple blocking or authorization tools into intelligent systems capable of identifying new and emerging threats.
• ➞Explain how Artificial Intelligence also manages the detection of possible cyber threats in IoT (Internet of Things) devices.
• ➞Analyze the key factors involved in implementing Artificial Intelligence systems within an organization’s cybersecurity framework. These include ethical considerations, the development of a coherent strategy that integrates AI with existing processes and systems, the quality of the data used, regular testing of deployed AI systems, and ensuring proper use of AI tools by all employees.