Cipher analyzes AI's role in strengthening corporate resilience to advanced cyberattacks

Madrid, March 12, 2026. – Cipher, the cybersecurity unit of the Prosegur Group, participated this week in the III AI & Cyber Security Forum, one of the leading meetings in Spain on the use of AI in digital security and analyzing the challenges posed by the mass adoption of AI in business environments, as well as exploring how to strengthen corporate resilience to advanced cyberattacks.

The event, held in Madrid and organized by ISMS Forum—a Spanish non-profit association that promotes information security in Spain—and the Artificial Intelligence Group (GIA), brought together professionals from leading companies such as Naturgy, Telefónica, Sanitas, MasOrange, Mapfre and Microsoft, among others.

The III AI & Cyber Security Forum was a space for dialogue to reflect on how to guarantee the security, governance and resilience of AI systems, from predictive and generative models to autonomous agents, as well as the new regulatory challenges arising from the European AI Act.

Carlos A. Fernández, director of Cipher's xMDR platform, discussed The Use of AI Against Lateral Movement, showing how AI has become a decisive element in stopping the silent advance of attackers within corporate networks. He also explained the evolution of these techniques, which are increasingly sophisticated and difficult to identify through traditional mechanisms, while detailing how advanced behavioral analysis models make it possible to analyze previously undetected patterns.

In addition, he highlighted that lateral movement continues to be one of the most critical vectors in cybersecurity incidents, as it allows attackers to move around digital infrastructure and compromise high-value assets. In this sense, Fernández stressed that AI applied to managed detection and response "not only accelerates the identification of anomalies, but also provides a predictive capacity that increases the resilience of organizations against persistent threats."

Cipher's xMDR platform integrates machine learning models  specifically trained to correlate weak signals, detect minute deviations in user and system behavior, triggering automated responses that limit an attacker's ability to escalate privileges or move between environments. Fernández also focused on the need for companies to adopt security architectures capable of combining AI automation and expert human supervision. "AI does not replace analysts, it boosts them, increases their capabilities, allowing them to reach in-depth analyses much faster and facilitates decision-making, thus shortening response and exposure times," he said, insisting that the combination of both elements allows us to achieve levels of protection in line with the current rate of threats.

With a diverse agenda combining security, compliance and the social impact of AI, the annual AI & Cyber Security Forum has established itself as an essential meeting point to define strategies and good practices in an environment increasingly influenced by AI.